Simulation of In-Cylinder Flow Phenomena with ANSYS Piston Grid An Improved Meshing and Simulation Approach

Size: px
Start display at page:

Download "Simulation of In-Cylinder Flow Phenomena with ANSYS Piston Grid An Improved Meshing and Simulation Approach"

Transcription

1 Simulation of In-Cylinder Flow Phenomena with ANSYS Piston Grid An Improved Meshing and Simulation Approach Dipl.-Ing. (FH) Günther Lang, CFDnetwork Engineering Dipl.-Ing. Burkhard Lewerich, CFDnetwork Engineering Dr.-Ing. Joachim Ebner, Powertrain CAE Combustion, BMW Group, Munich SYNOPSIS ANSYS Piston Grid (PG) is a software-package that extents the functionality of ANSYS CFX. It enables fully automated simulation of in-cylinder flow phenomena in internal combustion engines (ICE). Central part of PG is a main program that runs during the ICE simulation and controls the Meshing-Tool (ICEM) and the CFD-Solver (CFX). Both the meshing and the simulation are totally script controlled, no user input at runtime is required. PG has been introduced in the ICE development process at BMW three years ago. It became apparent, that the quality and reliability of the automatic meshing is of key-importance for the successful implementation of PG in the engineering environment. During the last three years, the PG process has been optimized, leading to a sophisticated meshing and simulation strategy which are presented in this paper. This improved meshing enables PG to obtain considerable higher performances in ICE simulations than conventional methods. 1. INTRODUCTION The efficiency of today s internal combustion engines has already reached a considerable high level. To achieve further optimization, a more detailed analysis of the involved processes is required. Thereby the degree of detail of each single process has to be increased as well as the understanding of the interaction of these processes. Because of this complexity simulation plays an important role in today s engine development. The main challenges simulation is faced to in this field are short development times, complex geometries and difficult physical phenomena. A large number of geometries and operating points have to be investigated. For that purpose, a high level of meshing automation, solver stability and capability to describe all physical phenomena in modern turbocharged and direct injected engines are essential requirements in order to predict the internal process. ANSYS provides Piston Grid (PG) as special tool to satisfy the aforementioned demands for ICE simulations. PG acts as framework for ICE simulations by providing the main engine data and simulation settings. During the simulation, PG controls the Meshing-Tool (ICEMCFD) and the CFD-Solver (CFX). Both the meshing and the simulation are totally script based and run without user input at runtime. To enable this, the user-defined meshing script must be able to generate a high quality

2 mesh for all engine configurations and for all valve and piston positions. The script for the CFX- Solver settings has to contain all required data for the simulation. The introduction of PG in BMW engine development showed that the meshing strategy is of high importance for the successful implementation of PG in the engineering process. With the experience to apply PG for simulations of various different engines it was found, that a high flexibility and reliability of the meshing strategy is required. This experience yielded in over three years of development an improved meshing and simulation strategy. By now, this customized PG Process is the standard tool for nearly all kind of ICE simulations at BMW. The following section introduces the implementation of PG within the ANSYS 11 software package. The functionality and the key features of PG and the resulting simulation process are described in detail. Subsequent, the essential parts for running a PG simulation are presented under the term The Standard PG Process. Section 3 illustrates the key role of the meshing strategy within PG simulations. The demands of modern ICEs and their impacts on the meshing strategy as well as the need to improve the Standard PG Process are discussed briefly. The consideration of the key features of the Improved PG Process closes this section. The following section illustrates the meshing strategy used within the Improved PG Process. All features of the improved meshing process are presented and the reasons for implementing the respective meshing features are shown. Section 5 gives an overview over typical simulation cases the Improved PG Process is designed for. A showcase project schedule illustrates the main working steps and shows the expected turn-around times. These illustrations are based on the experience of CFDnetwork with customer-related ICE simulations. The closure of the paper gives a short summary and points out, that CFDnetwork provides professional services for ICE simulations with ANSYS PG. 2. Implementation of Piston Grid in ANSYS 11 PG is a script based command line tool within the ANSYS 11 software package. There is no GUI support for PG now. The complete setup of a PG simulation consists of several scripts, which contain control parameters for the involved applications PG, ICEM and CFX. The essential files for running a PG simulation are the main PG control-file containing basic simulation characteristics, the meshing script (replay-file) and the file introducing the numerical set-up for the simulation (ccl-file) Basic structure of the Piston Grid Simulation Process As already mentioned, the main role of PG is to connect the meshing tool (ICEM) and the CFX- Solver. From this the schematic representation of a typical PG simulation shown in Figure 2.1 can be derived: CFX start CFX-Solver start CFX-Pre stop CFX-Solver start ICEM ICEM Figure 2.1: Basic loop of the Piston Grid simulation process

3 PG stops CFX at a certain point of the simulation when bad mesh quality or other user-defined parameters forces it. These parameters are the so called remeshing criteria, e.g. when the mesh quality falls below a user-specified limit (e.g. due to valve or piston motion) or when a change in the mesh topology is required. After the simulation reaches a remeshing criterion, PG stops the simulation and provides ICEM with the current geometry (valve and piston positions). A new mesh is generated by the meshing script and PG starts the CFX-Solver to continue the simulation. This procedure runs automatically until the end of the entire simulation without any further user input The General Piston Grid Process - Setup and Workflow To start the simulation process, the user has to prepare different files and scripts. The essential scripts involved in the General PG Setup are as follows: 1. Engine and Simulation Data (PG control-file) 2. Geometry preparation (ICEM geometry file = tetin-file) 3. ICEM meshing strategy (replay-file) 4. CFX-Solver settings (ccl-file) Engine and simulation data include the engine speed, valve and piston motion definitions and the subdivision of the combustion cycle in its single phases. These phases are called sequences in PG. Each sequence represents a certain engine configuration. The whole combustion cycle for a four-stroke engine with valve overlap can be divided into four characteristic configurations: only exhaust valves open, exhaust and intake valves open, only intake valves open and both valves closed. So, four sequences have to be defined in the control-file. For every sequence, the user has to provide the remaining parts 2 to 4 of the General PG Setup. The second part of the General PG Setup is the geometry preparation in ICEM. For every specified sequence, the user has to provide a geometry file. Besides necessary geometry simplifications, the user has to follow the PG specific naming conventions. Figure 2.2: The Standard Piston Grid Workflow

4 The third part, the replay-file, defines the meshing strategy for the particular sequence. Independent of the valve lift or piston position, the meshing script has to generate automatically a mesh of sufficient high quality. The meshing script presented here is completely user-defined. The scope of functionalities applied varies between very simple to very complex problems. It will be demonstrated later that the applied meshing strategy plays a decisive role in a PG simulation. Before starting the simulation, the user has to define all necessary numerical settings and save them in a separate CFX setup-file (ccl-file). The ccl-file contains the initial and boundary conditions as well as basic settings like the global convergence criteria and the turbulence model for the simulation. It has to be pointed out here, that once a good meshing strategy is defined and working solver settings are found, these scripts can be used for any further ICE simulation. Thus for each new engine, the geometry preparation becomes the unique timeconsuming work step. After completing the four parts of the General Setup, the simulation can be started. If no convergence problems occur, e.g. at very small valve lifts where strong pressure gradients and high velocities (Ma > 2) appear, the simulation runs to the specified end time without any further user input. The post-processing of the simulation results can be performed with CFX-Post in the batch mode. Figure 2.2 shows the above described aspects of a PG simulation and the applications involved which are Piston Grid, ICEM and CFX and CFX-Post. Because the given simplified scheme only contains essential parts for a PG run, the workflow is called the Standard Workflow. As it will be shown in the next section, the workflow is influenced by the implemented meshing strategy presented in this paper. The above presented case assumes a simple meshing script that does not affect the workflow. 3. The Improved PG Process The Improved PG Process is in a wide range a result of the further improved meshing script. Implementing all desired meshing features requires a more complex and more time consuming PG Setup, here referred to as The Extended PG Setup. Also additional workflow steps compared to the Standard Workflow are needed. Subsequent a brief overview of the reasons for improving the Standard PG Process, this section demonstrates the differences between the Standard and the Improved Process Reasons for Improving the Standard PG Process On the one hand, the meshing script has to be flexible enough to come along with all demands imposed by modern engines. These engines have very complex geometries and special features like a variable valve control or direct injection system. On the other hand, the meshing has to be totally stable (stability of the meshing process directly influences the turn-around times in a strong way). In order to achieve reduced turn-around times and a higher level of accuracy compared to conventional methods, the meshing has to meet to following requirements: High stability and reliability High flexibility due to complex engine geometries and due to modern engine applications Operating points with low maximum valve lifts Masking and piston shape High accuracy Minimization of numerical errors Continuous boundary layers Local and simulation-time dependent mesh-refinement

5 User independent meshing As mentioned already, the Improved Meshing Strategy affects the PG Setup respectively additional preparation steps in the workflow are required. The main aspects of the Extended PG Setup used in the BMW environment and the associated Improved Workflow are illustrated in the following sub-sections The Extended PG Setup Because of the improved meshing strategy, the Extended PG Setup contains additional issues in all four parts compared to the Standard PG Setup. Within the engine and simulation data one has to specify characteristic engine dimensions which are necessary for adapting the meshing to a particular engine geometry. The ICEM geometry preparation gets more complex because several features of the improved meshing demand for special preparation steps. Additionally, an algorithm for defining various remeshing criteria supplements the CFX-Solver settings. The additional parts of the Extended PG Setup are summarized in Figure 3.1. Figure 3.1: Additional parts of the Extended PG Setup compared to the Standard Setup 3.3. The Improved PG Workflow After completing the Extended PG Setup, the user has to follow strictly the defined Workflow. The additional step of the Improved PG Workflow compared to the Standard one is an additional Pre-Meshing step. Figure 3.2 illustrates the schematic sketch of the Improved PG Workflow. In particular, the Pre-Meshing step includes the pre-meshing of non-moving geometry parts and the automatic generation of meshes in artificial extreme positions (worst-case meshing). The non-moving geometry parts like the intake and exhaust ports or the region near the spark plug are meshed only once before running the simulation. These meshes are used in each meshing during the simulation. The worst-case meshing allows to check the mesh quality in artificial extreme positions, e.g. both valves in their minimal lift position and the piston in the upper dead center respectively both valves and the piston in their maximum lift position (these geometrical engine configurations are artificial, because they do not appear in the real combustion cycle).

6 This approach gives the user detaild information of the mesh quality and main mesh characteristics which will be generated during the simulation. This Pre-Meshing step also guarantees the stability of the meshing. Figure 3.2: Characteristics of the Improved PG Workflow Beside the already mentioned Pre-Meshing step the main difference from the Improved Workflow to the Standard one is the communication between the involved applications. Mainly data exchange between ICEM and the CFX-Solver is required, e.g. the information of a change in the mesh topology in ICEM has to be transferred to CFX due to the setup of boundary conditions. The most simple mesh topology is a consistent mesh containing only tetraeder cells with continuous prism elements to resolve the boundary layer. Depending on the piston and valve lifts, the mesh may contain an extruded region in the cylinder or a hexaeder-mesh for small valve gaps. These special mesh topologies demand appropriate adaption of the CFX- Solver settings like sub-domain or interface definitions. Therefore the meshing script adapts a template containing the CFX-Solver settings for the simplest mesh topology automatically. On the other hand, ICEM depends on information from CFX like the aforementioned remeshing criteria. For example a switch is introduced which defines a certain piston lift for change the mesh topology between meshes containing mesh-extrusion in the cylinder region and meshes without that feature. According to this information, ICEM is able to apply the desired meshing features and to generate the required mesh topology. The plotted communication arrows indicate that nearly all applications depend on each other and require information from each other. It is not essential, that every communication path occurs during the simulation The Meshing Strategy - Key Feature of the Improved PG Process Finally, the central role of the meshing strategy has to be pointed out. A robust and flexible meshing is absolutely necessary to assess ICE simulations with PG successfully. For this reason, the meshing strategy used in the BMW engine development was improved successively over the last three years. For covering a wide range of ICE applications and geometries, the meshing strategy is quite complex. This assumes a high amount of expertise in applying the Improved PG Process correctly or in extending it with additional features. In the following section the meshing strategy implemented in the Improved PG Process is presented in detail.

7 4. Meshing Strategy of the Improved Piston Grid Process The meshing strategy developed for the Improved PG Process includes several special meshing features from which the most important are presented below. At first, a detailed description of the Hexa-Mesh feature is given to provide an insight into the integration of a single meshing feature into the workflow. All the other meshing features are implemented in a similar way. Hexa-Mesh in valve gaps This meshing feature enables creating grids down to a minimal valve lift of 0.05 mm. The need for simulations down to valve lifts of 0.05 mm evolves from the full variable valve train. This system may realize a maximum valve lift of 1 mm at certain operating points. In such a case, it would be insufficient to simulate only down to a valve lift of 0.3 mm with reasonable mesh sizes and sufficient mesh quality. A pure continuous tetraeder-prism mesh turned out to be feasible solely to a minimal valve lift of about 0.3 mm. There are two main reasons for this: in small valve gaps, the required tetraeder-sizes produce too much mesh nodes and in association with this high spatial resolution, the meshing algorithm requires an extreme high geometry quality which is mostly not available. The solution for this problem is to generate a Hexa-Mesh within the valve gap region. Figure 4.1 shows the valve gap region at three different valve positions resolved with the Hexa-Mesh. CA 330 Valve lift: 0.05 mm CA 350 Valve lift: 0.15 mm CA 365 Valve lift: 1.00 mm Figure 4.1: Hexa-Mesh in the valve gap regions at three different valve positions To apply the Hexa-Mesh feature, two preparation steps have to be performed. The first one is to specify the desired valve lift range in which the Hexa-Mesh feature is used, e.g. from 0.05 mm to 1 mm. For every valve a different range can be specified. The second and work-intensive step includes additional geometry preparation. Special curves and surfaces with well defined name patterns have to be provided. Figure 4.2 shows these special geometry components. Hex_Curve_Seat_1 n Hex_surface_Seat_1 m Hex_Curve_Valve_1 n Hex_Surface_Valve_1 l Figure 4.2: Geometry preparation needed for the Hexa-Mesh feature

8 After these preparation steps the meshing runs fully automated. Before each meshing process, the meshing script compares the actual valve lift and the user-defined lift range for applying the Hexa-Mesh feature. According to the current valve position, the required Hexa-Mesh is generated. Thereby, the sizes of the hexaeder cells are user-specified. The connection to the surrounding tetraeder-prism mesh occurs by grid interfaces. Special care was put on the connection between the hexaeder and the prism cells in the boundary layer region. The Hexa- Mesh algorithm calculates the distribution of the wall-nearest hexaeder cells according to the identical method used for defining the prism-heights. By this a nearly one-to-one passage could be realized within the boundary layer region. The resulting mesh contains Hexa-Meshes and hence differs in its topology from the standard tetraeder-prism mesh. For a correct simulation setup, the interfaces and sub-domains have to be defined. This is done automatically by a separate adaption step of the ccl-template by the ICEM meshing script. The implementation of the Hexa-Mesh feature demonstrates how close all scripts and applications of the Improved PG Process are linked together. All meshing features presented in the following are implemented in a similar way. Dynamic geometry construction The meshing script constructs surfaces which depend on the piston or valve motion for each new meshing automatically. Surfaces which are affected by this are the cylinder liner and the valve rods. The aim is to avoid any overlapping surface elements which might cause problems for the ICEM meshing algorithm. By this, the dynamic geometry construction supports the meshing robustness. Dynamic control of meshing parameters The dynamic control of the meshing parameters provides the adaptation of the cell sizes to the current engine configuration and to the current piston and valve positions. Piston Grid innately provides structures which enable this mechanism. Therefore, the user specifies the meshing parameters which have to be changed during the simulation process within the PG Setup. Such parameters are for example the surface mesh sizes, the prism heights or the tetraeder sizes within densities. Additionally, the user has to provide all dependencies of these variable parameters. The Improved PG Process contains a complete logic for the variable meshing parameters. The dynamic control of meshing parameters helps to reduce the number of mesh nodes and accordingly the simulation time required. Also the quality of the results rises with adequate prism-layer thickness and higher spatial discretization in critical regions. Pre-Meshing of non-moving geometry parts and of special surfaces The idea behind this meshing feature is that geometry parts which are stationary during the entire simulation need only to be meshed once. This is for example the case for the exhaust and intake ports. Additionally, the pre-meshing provides almost all surface meshes of static and moved walls These surface meshes are used for all meshes during the simulation By this, the meshing of the boundary layer is kept nearly constant. The advantage of the pre-meshed parts is to deliver very similar meshes for minimizing interpolation errors. An improved meshing robustness and a reduced meshing effort for each single meshing process are the side benefits. Local remeshing The worst cells of a distorted mesh are typically near the region of the moving parts. Especially the cells in valve gaps are exposed to high shear rates by the valve motion. The cells quickly get worse in these local defined regions and undershoot the minimal mesh quality, whereas the bulk

9 of grid elements are not distorted at all. The Standard PG Process would start the meshing for the whole geometry and create a complete new grid. The mapping of the old solution onto the new mesh obviously causes interpolation errors. The local remeshing feature loads the distorted grid, deletes only the cells of bad quality with additional two surrounding cell layers and generates new mesh elements only within the emerging holes. Typically only a few percentage of the mesh nodes are affected. The local remeshing feature ensures a minimal meshing effort, a maximum robustness and minimization of the interpolation errors at the same time. Mesh-Extrusion in the Cylinder-Region If the piston lift exceeds an user-defined limit, the ICEM meshing script inserts a pre-meshed triangulated extrusion plane in the combustion chamber. Below this plane, the mesh generation is performed by extrusion of the triangles. The resulting meshes are very similar within the extruded parts. Due to the piston motion, the mesh nodes of two different extrusion meshes vary only in their z-coordinates while the x and y values remain constant. By this, the interpolation of the previous simulation results reduces to a linear problem. This produces more accurate results than a full 3-dimensional interpolation. 5. Typical Engineering Tasks of the Improved PG Application and Showcase Project Schedule This section gives an overview of typical engineering tasks for the Improved PG Application. Thereby, the base case is the simulation of the entire combustion cycle with injection and mixture formation for a full model. The effort for handling, simulation and post-processing times for the base case and for different variations are discussed briefly. Figure 5.1 sketches the typical schedule for a customer project according to the experience of CFDnetwork. Figure 5.1: Project schedule for a full model simulation with fuel injection and mixture preparation

10 As it can be taken from Figure 5.1, the Extended PG Setup for the base (first) case within an engine project consumes up to two weeks. Within the Extended Setup everything from the CAD data transfer to the implementation of the initial and boundary conditions is included. It is important to point out that the base case is special and requires greatest care (compared to following variations). The introduced geometry simplification has to be discussed with the customer. In order to adapt the meshing to the particular engine and to meet the customer requirements concerning mesh characteristics and mesh quality several feedback loops of the pre-meshing step (meshes in artificial extreme positions) are needed. Every customer has its own guidelines concerning cell sizes, expansion factors and prism-heights. Also the implementation of the correct initial and boundary conditions has to be proved carefully. These most critical working steps are marked red in Figure 5.1. The great benefit of PG now is that once the Setup for the base case has been completed, different variations of the base case can be realized with nearly negligible effort. Examples for this variations are shape analyses, valve lift variations or changes of the injection settings. The most time consuming project part is the simulation itself. A mixture formation simulation of a full model over the entire combustion cycle typically needs between two and four weeks. It is obvious, that the simulation time varies depending on the level of parallelization, single processor speed and the used numerical settings and models (e.g. standard is the use of a twoequation turbulence model). The meshing is the only single processor operation within the PG simulation. Typically about one day is required for the overall mesh generation. For postprocessing the same aspects as for the Extended Setup plays a role. Once the automated process delivers all required quantities and pictures, the handling time for following simulations reduces to a minimum. The following list contains typical applications for the Improved PG Process: 1. Simulation of gas exchange (with/without injection and mixture formation, half or full model) 2. Analysis of different engine operating points (spread variations, injection timing) 3. Optimization of intake and exhaust port geometry The first two cases cover the whole combustion cycle, whereas the third case may only consider the flow induced by the intake or the exhaust port. The stated time data refer to the aforementioned base case of the engine project. 6. Summary and Outlook The Improved PG Process is a reliable meshing and simulation approach for ICE engines. Reduced and predictable turn-around times and increased accuracy can be achieved compared to the Standard PG Process or conventional methods. The Improved PG Process results from three years of experience with PG at BMW. By now, Improved PG is the standard application for ICE simulations at BMW and the introduced strategy has proven itself in numerous different engine designs. Functional demonstration using the example of a mixture formation simulation for a DI gasoline engine with complex geometry also has been performed by CFDnetwork Engineering. As part of the BMW methodology development, CFDnetwork engineers possess deep insight in the Improved PG Process. This expertise enables us to offer comprehensive services with ANSYS Piston Grid. There is a strong interest to implement the features of the Improved PG Process as a standard into next ANSYS Piston Grid version. Then, special customer requirements or new meshing features can be implemented. The Improved PG Process provides the framework for advancing in spray and combustion calculations. CFDnetwork Engineering helps you to establish Piston Grid in your simulation process in order to improve the quality of the simulation results and at the same time to reduce turn-around times.

Best Practices: Volume Meshing Kynan Maley

Best Practices: Volume Meshing Kynan Maley Best Practices: Volume Meshing Kynan Maley Volume Meshing Volume meshing is the basic tool that allows the creation of the space discretization needed to solve most of the CAE equations for: CFD Stress

More information

CFD Topology Optimization of Automotive Components

CFD Topology Optimization of Automotive Components CFD Topology Optimization of Automotive Components Dr.-Ing. Markus Stephan, Dr.-Ing. Dipl.-Phys. Pascal Häußler, Dipl.-Math. Michael Böhm FE-DESIGN GmbH, Karlsruhe, Germany Synopsis Automatic CFD optimization

More information

RAPID DESIGN AND FLOW SIMULATIONS FOR TUBOCHARGER COMPONENTS

RAPID DESIGN AND FLOW SIMULATIONS FOR TUBOCHARGER COMPONENTS EASC ANSYS Conference 2009 RAPID DESIGN AND FLOW SIMULATIONS FOR TUBOCHARGER COMPONENTS Authors Dipl.-Ing. Jonas Belz Dipl.-Ing. Ralph-Peter Müller CFDnetwork Engineering CFturbo Software & Engineering

More information

USAGE OF ANSA S AUTOMATED VOLUME MESHING-METHODS IN THE RAPID PRODUCT DEVELOPMENT PROCESS OF DIESEL ENGINES

USAGE OF ANSA S AUTOMATED VOLUME MESHING-METHODS IN THE RAPID PRODUCT DEVELOPMENT PROCESS OF DIESEL ENGINES USAGE OF ANSA S AUTOMATED VOLUME MESHING-METHODS IN THE RAPID PRODUCT DEVELOPMENT PROCESS OF DIESEL ENGINES Günther Pessl *, Dr. Robert Ehart, Gerwin Bumberger BMW Motoren GmbH, Austria KEYWORDS - ANSA,

More information

Experimental and Numerical Analysis of Near Wall Flow at the Intake Valve and its Influence on Large-Scale Fluctuations

Experimental and Numerical Analysis of Near Wall Flow at the Intake Valve and its Influence on Large-Scale Fluctuations Experimental and Numerical Analysis of Near Wall Flow at the Intake Valve and its Influence on Large-Scale Fluctuations Frank Hartmann, Stefan Buhl, Florian Gleiß, Christian Hasse Philipp Barth, Martin

More information

Introduction to C omputational F luid Dynamics. D. Murrin

Introduction to C omputational F luid Dynamics. D. Murrin Introduction to C omputational F luid Dynamics D. Murrin Computational fluid dynamics (CFD) is the science of predicting fluid flow, heat transfer, mass transfer, chemical reactions, and related phenomena

More information

Introduction to ANSYS CFX

Introduction to ANSYS CFX Workshop 03 Fluid flow around the NACA0012 Airfoil 16.0 Release Introduction to ANSYS CFX 2015 ANSYS, Inc. March 13, 2015 1 Release 16.0 Workshop Description: The flow simulated is an external aerodynamics

More information

Aerodynamic Study of a Realistic Car W. TOUGERON

Aerodynamic Study of a Realistic Car W. TOUGERON Aerodynamic Study of a Realistic Car W. TOUGERON Tougeron CFD Engineer 2016 Abstract This document presents an aerodynamic CFD study of a realistic car geometry. The aim is to demonstrate the efficiency

More information

Cold Flow Simulation Inside an SI Engine

Cold Flow Simulation Inside an SI Engine Tutorial 12. Cold Flow Simulation Inside an SI Engine Introduction The purpose of this tutorial is to illustrate the case setup and solution of the two dimensional, four stroke spark ignition (SI) engine

More information

Introduction to ANSYS ICEM CFD

Introduction to ANSYS ICEM CFD Lecture 4 Volume Meshing 14. 0 Release Introduction to ANSYS ICEM CFD 1 2011 ANSYS, Inc. March 21, 2012 Introduction to Volume Meshing To automatically create 3D elements to fill volumetric domain Generally

More information

Flow in an Intake Manifold

Flow in an Intake Manifold Tutorial 2. Flow in an Intake Manifold Introduction The purpose of this tutorial is to model turbulent flow in a simple intake manifold geometry. An intake manifold is a system of passages which carry

More information

Webinar: TwinMesh for Reliable CFD Analysis of Rotating Positive Displacement Machines

Webinar: TwinMesh for Reliable CFD Analysis of Rotating Positive Displacement Machines Webinar: TwinMesh for Reliable CFD Analysis of Rotating Positive Displacement Machines 14.07.2015 Dipl.-Ing. Jan Hesse Jan.hesse@cfx-berlin.de CFX Berlin Software GmbH Karl-Marx-Allee 90 A 10243 Berlin

More information

CFD Best Practice Guidelines: A process to understand CFD results and establish Simulation versus Reality

CFD Best Practice Guidelines: A process to understand CFD results and establish Simulation versus Reality CFD Best Practice Guidelines: A process to understand CFD results and establish Simulation versus Reality Judd Kaiser ANSYS Inc. judd.kaiser@ansys.com 2005 ANSYS, Inc. 1 ANSYS, Inc. Proprietary Overview

More information

Direct Numerical Simulation of a Low Pressure Turbine Cascade. Christoph Müller

Direct Numerical Simulation of a Low Pressure Turbine Cascade. Christoph Müller Low Pressure NOFUN 2015, Braunschweig, Overview PostProcessing Experimental test facility Grid generation Inflow turbulence Conclusion and slide 2 / 16 Project Scale resolving Simulations give insight

More information

Comparison of Classic and Finned Piston Reciprocating Linear Air Compressor Using COMSOL Multiphysics

Comparison of Classic and Finned Piston Reciprocating Linear Air Compressor Using COMSOL Multiphysics Comparison of Classic and Finned Piston Reciprocating Linear Air Compressor Using COMSOL Multiphysics M. Heidari*, P. Barrade, and A. Rufer LEI, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

More information

Analysis Comparison between CFD and FEA of an Idealized Concept V- Hull Floor Configuration in Two Dimensions

Analysis Comparison between CFD and FEA of an Idealized Concept V- Hull Floor Configuration in Two Dimensions 2010 NDIA GROUND VEHICLE SYSTEMS ENGINEERING AND TECHNOLOGY SYMPOSIUM MODELING & SIMULATION, TESTING AND VALIDATION (MSTV) MINI-SYMPOSIUM AUGUST 17-19 DEARBORN, MICHIGAN Analysis Comparison between CFD

More information

Lecture 7: Mesh Quality & Advanced Topics. Introduction to ANSYS Meshing Release ANSYS, Inc. February 12, 2015

Lecture 7: Mesh Quality & Advanced Topics. Introduction to ANSYS Meshing Release ANSYS, Inc. February 12, 2015 Lecture 7: Mesh Quality & Advanced Topics 15.0 Release Introduction to ANSYS Meshing 1 2015 ANSYS, Inc. February 12, 2015 Overview In this lecture we will learn: Impact of the Mesh Quality on the Solution

More information

Validation of an Automatic Mesh Generation Technique in Engine Simulations

Validation of an Automatic Mesh Generation Technique in Engine Simulations International Multidimensional Engine Modeling User's Group Meeting April,, Detroit, Michigan Validation of an Automatic Mesh Generation Technique in Engine s Abstract Long Liang, Anthony Shelburn, Cheng

More information

Validation of an Unstructured Overset Mesh Method for CFD Analysis of Store Separation D. Snyder presented by R. Fitzsimmons

Validation of an Unstructured Overset Mesh Method for CFD Analysis of Store Separation D. Snyder presented by R. Fitzsimmons Validation of an Unstructured Overset Mesh Method for CFD Analysis of Store Separation D. Snyder presented by R. Fitzsimmons Stores Separation Introduction Flight Test Expensive, high-risk, sometimes catastrophic

More information

Manipulating the Boundary Mesh

Manipulating the Boundary Mesh Chapter 7. Manipulating the Boundary Mesh The first step in producing an unstructured grid is to define the shape of the domain boundaries. Using a preprocessor (GAMBIT or a third-party CAD package) you

More information

Shape optimisation using breakthrough technologies

Shape optimisation using breakthrough technologies Shape optimisation using breakthrough technologies Compiled by Mike Slack Ansys Technical Services 2010 ANSYS, Inc. All rights reserved. 1 ANSYS, Inc. Proprietary Introduction Shape optimisation technologies

More information

ICE Roadmap Japanese STAR Conference. Richard Johns

ICE Roadmap Japanese STAR Conference. Richard Johns ICE Roadmap Japanese STAR Conference Richard Johns Introduction Top-Level Roadmap STAR-CCM+ and Internal Combustion Engines Modeling Improvements and Research Support Sprays LES Chemistry Meshing Summary

More information

CFD Project Workflow Guide

CFD Project Workflow Guide CFD Project Workflow Guide Contents Select a problem with known results for proof-of-concept testing... 1 Set up and run a coarse test case... 2 Select and calibrate numerical methods... 3 Minimize & quantify

More information

Topology Optimization in Fluid Dynamics

Topology Optimization in Fluid Dynamics A Methodology for Topology Optimization in Fluid Dynamics 1 Chris Cowan Ozen Engineering, Inc. 1210 E. Arques Ave, Suite 207 Sunnyvale, CA 94085 info@ozeninc.com Ozen Engineering Inc. We are your local

More information

Development of a CFD methodology for fuel-air mixing and combustion modeling of GDI Engines

Development of a CFD methodology for fuel-air mixing and combustion modeling of GDI Engines Development of a CFD methodology for fuel-air mixing and combustion modeling of GDI Engines T. Lucchini, G. D Errico, L. Cornolti, G. Montenegro, A. Onorati Politecnico di Milano, Dipartimento di Energia,

More information

Mesh Morphing and the Adjoint Solver in ANSYS R14.0. Simon Pereira Laz Foley

Mesh Morphing and the Adjoint Solver in ANSYS R14.0. Simon Pereira Laz Foley Mesh Morphing and the Adjoint Solver in ANSYS R14.0 Simon Pereira Laz Foley 1 Agenda Fluent Morphing-Optimization Feature RBF Morph with ANSYS DesignXplorer Adjoint Solver What does an adjoint solver do,

More information

Design and Optimization of Plants and Components for the Production of Polyurethane Foams using STAR-CCM+

Design and Optimization of Plants and Components for the Production of Polyurethane Foams using STAR-CCM+ Design and Optimization of Plants and Components for the Production of Polyurethane Foams using STAR-CCM+ Dr. Carsten Brodbeck, Bettina Landvogt Martin Schamberg Fraunhofer SCAI Hennecke Polyurethane Technology

More information

Optimization of under-relaxation factors. and Courant numbers for the simulation of. sloshing in the oil pan of an automobile

Optimization of under-relaxation factors. and Courant numbers for the simulation of. sloshing in the oil pan of an automobile Optimization of under-relaxation factors and Courant numbers for the simulation of sloshing in the oil pan of an automobile Swathi Satish*, Mani Prithiviraj and Sridhar Hari⁰ *National Institute of Technology,

More information

A B C D E. Settings Choose height, H, free stream velocity, U, and fluid (dynamic viscosity and density ) so that: Reynolds number

A B C D E. Settings Choose height, H, free stream velocity, U, and fluid (dynamic viscosity and density ) so that: Reynolds number Individual task Objective To derive the drag coefficient for a 2D object, defined as where D (N/m) is the aerodynamic drag force (per unit length in the third direction) acting on the object. The object

More information

How Combustion CFD Makes Design More Robust and Reduces Costs

How Combustion CFD Makes Design More Robust and Reduces Costs How Combustion CFD Makes Design More Robust and Reduces Costs 2018 European Converge User Conference, Bologna March 21, 2018 A. Raulot, C. Ferreira Full Digital Ambition Digital Validation Boost Present

More information

Lagrangian methods and Smoothed Particle Hydrodynamics (SPH) Computation in Astrophysics Seminar (Spring 2006) L. J. Dursi

Lagrangian methods and Smoothed Particle Hydrodynamics (SPH) Computation in Astrophysics Seminar (Spring 2006) L. J. Dursi Lagrangian methods and Smoothed Particle Hydrodynamics (SPH) Eulerian Grid Methods The methods covered so far in this course use an Eulerian grid: Prescribed coordinates In `lab frame' Fluid elements flow

More information

Pressure Drop Evaluation in a Pilot Plant Hydrocyclone

Pressure Drop Evaluation in a Pilot Plant Hydrocyclone Pressure Drop Evaluation in a Pilot Plant Hydrocyclone Fabio Kasper, M.Sc. Emilio Paladino, D.Sc. Marcus Reis, M.Sc. ESSS Carlos A. Capela Moraes, D.Sc. Dárley C. Melo, M.Sc. Petrobras Research Center

More information

CFD Simulation of a dry Scroll Vacuum Pump including Leakage Flows

CFD Simulation of a dry Scroll Vacuum Pump including Leakage Flows CFD Simulation of a dry Scroll Vacuum Pump including Leakage Flows Jan Hesse, Rainer Andres CFX Berlin Software GmbH, Berlin, Germany 1 Introduction Numerical simulation results of a dry scroll vacuum

More information

Directions: 1) Delete this text box 2) Insert desired picture here

Directions: 1) Delete this text box 2) Insert desired picture here Directions: 1) Delete this text box 2) Insert desired picture here Multi-Disciplinary Applications using Overset Grid Technology in STAR-CCM+ CD-adapco Dmitry Pinaev, Frank Schäfer, Eberhard Schreck Outline

More information

SPEED-UP GEARBOX SIMULATIONS BY INTEGRATING SCORG. Dr. Christine Klier, Sahand Saheb-Jahromi, Ludwig Berger*

SPEED-UP GEARBOX SIMULATIONS BY INTEGRATING SCORG. Dr. Christine Klier, Sahand Saheb-Jahromi, Ludwig Berger* SPEED-UP GEARBOX SIMULATIONS BY INTEGRATING SCORG Dr. Christine Klier, Sahand Saheb-Jahromi, Ludwig Berger* CFD SCHUCK ENGINEERING Engineering Services in computational fluid Dynamics (CFD) 25 employees

More information

The Spalart Allmaras turbulence model

The Spalart Allmaras turbulence model The Spalart Allmaras turbulence model The main equation The Spallart Allmaras turbulence model is a one equation model designed especially for aerospace applications; it solves a modelled transport equation

More information

THE APPLICATION OF AN ATMOSPHERIC BOUNDARY LAYER TO EVALUATE TRUCK AERODYNAMICS IN CFD

THE APPLICATION OF AN ATMOSPHERIC BOUNDARY LAYER TO EVALUATE TRUCK AERODYNAMICS IN CFD THE APPLICATION OF AN ATMOSPHERIC BOUNDARY LAYER TO EVALUATE TRUCK AERODYNAMICS IN CFD A SOLUTION FOR A REAL-WORLD ENGINEERING PROBLEM Ir. Niek van Dijk DAF Trucks N.V. CONTENTS Scope & Background Theory:

More information

COMPUTATIONAL FLUID DYNAMICS ANALYSIS OF ORIFICE PLATE METERING SITUATIONS UNDER ABNORMAL CONFIGURATIONS

COMPUTATIONAL FLUID DYNAMICS ANALYSIS OF ORIFICE PLATE METERING SITUATIONS UNDER ABNORMAL CONFIGURATIONS COMPUTATIONAL FLUID DYNAMICS ANALYSIS OF ORIFICE PLATE METERING SITUATIONS UNDER ABNORMAL CONFIGURATIONS Dr W. Malalasekera Version 3.0 August 2013 1 COMPUTATIONAL FLUID DYNAMICS ANALYSIS OF ORIFICE PLATE

More information

Stress analysis of Camshaft by using ANSYS Software

Stress analysis of Camshaft by using ANSYS Software Stress analysis of Camshaft by using ANSYS Software Samta Jain, Mr. Vikas Bansal Rajasthan Technical University, kota (Rajasathan), India Abstract This paper presents the modeling and static structural

More information

Applying Solution-Adaptive Mesh Refinement in Engine Simulations

Applying Solution-Adaptive Mesh Refinement in Engine Simulations International Multidimensional Engine Modeling User's Group Meeting April 11, 2016, Detroit, Michigan Applying Solution-Adaptive Mesh Refinement in Engine Simulations Long Liang, Yue Wang, Anthony Shelburn,

More information

Backward facing step Homework. Department of Fluid Mechanics. For Personal Use. Budapest University of Technology and Economics. Budapest, 2010 autumn

Backward facing step Homework. Department of Fluid Mechanics. For Personal Use. Budapest University of Technology and Economics. Budapest, 2010 autumn Backward facing step Homework Department of Fluid Mechanics Budapest University of Technology and Economics Budapest, 2010 autumn Updated: October 26, 2010 CONTENTS i Contents 1 Introduction 1 2 The problem

More information

Introduction to CFX. Workshop 2. Transonic Flow Over a NACA 0012 Airfoil. WS2-1. ANSYS, Inc. Proprietary 2009 ANSYS, Inc. All rights reserved.

Introduction to CFX. Workshop 2. Transonic Flow Over a NACA 0012 Airfoil. WS2-1. ANSYS, Inc. Proprietary 2009 ANSYS, Inc. All rights reserved. Workshop 2 Transonic Flow Over a NACA 0012 Airfoil. Introduction to CFX WS2-1 Goals The purpose of this tutorial is to introduce the user to modelling flow in high speed external aerodynamic applications.

More information

Co-Simulation von Flownex und ANSYS CFX am Beispiel einer Verdrängermaschine

Co-Simulation von Flownex und ANSYS CFX am Beispiel einer Verdrängermaschine Co-Simulation von Flownex und ANSYS CFX am Beispiel einer Verdrängermaschine Benoit Bosc-Bierne, Dr. Andreas Spille-Kohoff, Farai Hetze CFX Berlin Software GmbH, Berlin Contents Positive displacement compressors

More information

THE BENEFIT OF ANSA TOOLS IN THE DALLARA CFD PROCESS. Simona Invernizzi, Dallara Engineering, Italy,

THE BENEFIT OF ANSA TOOLS IN THE DALLARA CFD PROCESS. Simona Invernizzi, Dallara Engineering, Italy, THE BENEFIT OF ANSA TOOLS IN THE DALLARA CFD PROCESS Simona Invernizzi, Dallara Engineering, Italy, KEYWORDS automatic tools, batch mesh, DFM, morphing, ride height maps ABSTRACT In the last few years,

More information

Crevice and Blowby Model Development and Application

Crevice and Blowby Model Development and Application Crevice and Blowby Model Development and Application Randy P. Hessel University of Wisconsin - Madison Salvador M. Aceves and Dan L. Flowers - Lawrence Livermore National Lab ABSTRACT This paper describes

More information

STUDY OF FLOW PERFORMANCE OF A GLOBE VALVE AND DESIGN OPTIMISATION

STUDY OF FLOW PERFORMANCE OF A GLOBE VALVE AND DESIGN OPTIMISATION Journal of Engineering Science and Technology Vol. 12, No. 9 (2017) 2403-2409 School of Engineering, Taylor s University STUDY OF FLOW PERFORMANCE OF A GLOBE VALVE AND DESIGN OPTIMISATION SREEKALA S. K.

More information

ANSYS AIM 16.0 Overview. AIM Program Management

ANSYS AIM 16.0 Overview. AIM Program Management 1 2015 ANSYS, Inc. September 27, 2015 ANSYS AIM 16.0 Overview AIM Program Management 2 2015 ANSYS, Inc. September 27, 2015 Today s Simulation Challenges Leveraging simulation across engineering organizations

More information

McNair Scholars Research Journal

McNair Scholars Research Journal McNair Scholars Research Journal Volume 2 Article 1 2015 Benchmarking of Computational Models against Experimental Data for Velocity Profile Effects on CFD Analysis of Adiabatic Film-Cooling Effectiveness

More information

NUMERICAL INVESTIGATION OF THE FLOW BEHAVIOR INTO THE INLET GUIDE VANE SYSTEM (IGV)

NUMERICAL INVESTIGATION OF THE FLOW BEHAVIOR INTO THE INLET GUIDE VANE SYSTEM (IGV) University of West Bohemia» Department of Power System Engineering NUMERICAL INVESTIGATION OF THE FLOW BEHAVIOR INTO THE INLET GUIDE VANE SYSTEM (IGV) Publication was supported by project: Budování excelentního

More information

The question FLOW-3D and IOSO NM

The question FLOW-3D and IOSO NM Searching for the optimal velocity of the piston in an HPDC process 3D optimization study of the velocity profile during first phase shot sleeve process Stefano Mascetti, srl The question High pressure

More information

Simulation of Curtain Airbag with Arbitrary. Eulerian- Lagrangian Method

Simulation of Curtain Airbag with Arbitrary. Eulerian- Lagrangian Method Simulation of Curtain Airbag with Arbitrary Eulerian- Lagrangian Method Dmitri Fokin, Eivind Dessarud Altair Engineering Claes Ljungqvist Saab Automobile AB Abstract: Computer simulation is a powerful

More information

Automotive Thermal Management for Full Vehicles

Automotive Thermal Management for Full Vehicles Automotive Thermal Management for Full Vehicles Concerning the thermal behavior of automotive vehicles it is pursued to accomplish simulations for the full complexity of a vehicle's geometry and transport

More information

Lab 9: FLUENT: Transient Natural Convection Between Concentric Cylinders

Lab 9: FLUENT: Transient Natural Convection Between Concentric Cylinders Lab 9: FLUENT: Transient Natural Convection Between Concentric Cylinders Objective: The objective of this laboratory is to introduce how to use FLUENT to solve both transient and natural convection problems.

More information

Two-dimensional Totalistic Code 52

Two-dimensional Totalistic Code 52 Two-dimensional Totalistic Code 52 Todd Rowland Senior Research Associate, Wolfram Research, Inc. 100 Trade Center Drive, Champaign, IL The totalistic two-dimensional cellular automaton code 52 is capable

More information

Thank you for downloading one of our ANSYS whitepapers we hope you enjoy it.

Thank you for downloading one of our ANSYS whitepapers we hope you enjoy it. Thank you! Thank you for downloading one of our ANSYS whitepapers we hope you enjoy it. Have questions? Need more information? Please don t hesitate to contact us! We have plenty more where this came from.

More information

Speed and Accuracy of CFD: Achieving Both Successfully ANSYS UK S.A.Silvester

Speed and Accuracy of CFD: Achieving Both Successfully ANSYS UK S.A.Silvester Speed and Accuracy of CFD: Achieving Both Successfully ANSYS UK S.A.Silvester 2010 ANSYS, Inc. All rights reserved. 1 ANSYS, Inc. Proprietary Content ANSYS CFD Introduction ANSYS, the company Simulation

More information

Meshing of flow and heat transfer problems

Meshing of flow and heat transfer problems Meshing of flow and heat transfer problems Luyao Zou a, Zhe Li b, Qiqi Fu c and Lujie Sun d School of, Shandong University of science and technology, Shandong 266590, China. a zouluyaoxf@163.com, b 1214164853@qq.com,

More information

Click to edit Master title style

Click to edit Master title style Click to edit Master title style LES LES Applications for for Internal Internal Combustion Engines Engines David Gosman & Richard Johns CD-adapco, June 2011 Some Qs and As Why would we use LES calculations

More information

Calculate a solution using the pressure-based coupled solver.

Calculate a solution using the pressure-based coupled solver. Tutorial 19. Modeling Cavitation Introduction This tutorial examines the pressure-driven cavitating flow of water through a sharpedged orifice. This is a typical configuration in fuel injectors, and brings

More information

Extension and Validation of the CFX Cavitation Model for Sheet and Tip Vortex Cavitation on Hydrofoils

Extension and Validation of the CFX Cavitation Model for Sheet and Tip Vortex Cavitation on Hydrofoils Extension and Validation of the CFX Cavitation Model for Sheet and Tip Vortex Cavitation on Hydrofoils C. Lifante, T. Frank, M. Kuntz ANSYS Germany, 83624 Otterfing Conxita.Lifante@ansys.com 2006 ANSYS,

More information

2008 International ANSYS Conference

2008 International ANSYS Conference 2008 International ANSYS Conference Simulation Driven Product Development using ANSYS Technology Padmesh Mandloi Rahul Kumar Samir Kadam 2008 ANSYS, Inc. All rights reserved. 1 ANSYS, Inc. Proprietary

More information

Integrated analysis of the scavenging process in marine two-stroke diesel engines

Integrated analysis of the scavenging process in marine two-stroke diesel engines Integrated analysis of the scavenging process in marine two-stroke diesel engines Gothenburg regional OpenFOAM user group meeting. 13 november 2013 Fredrik H. Andersen, Industrial Ph.D. student Process

More information

Shape and parameter optimization with ANSA and LS-OPT using a new flexible interface

Shape and parameter optimization with ANSA and LS-OPT using a new flexible interface IT / CAE Prozesse I Shape and parameter optimization with ANSA and LS-OPT using a new flexible interface Korbetis Georgios BETA CAE Systems S.A., Thessaloniki, Greece Summary: Optimization techniques becomes

More information

DNV GL s 16th Technology Week

DNV GL s 16th Technology Week OIL & GAS DNV GL s 16th Technology Week Advanced Simulation for Offshore Application: Application of CFD for Computing VIM of Floating Structures 1 SAFER, SMARTER, GREENER OUTLINE Introduction Elements

More information

Non-Newtonian Transitional Flow in an Eccentric Annulus

Non-Newtonian Transitional Flow in an Eccentric Annulus Tutorial 8. Non-Newtonian Transitional Flow in an Eccentric Annulus Introduction The purpose of this tutorial is to illustrate the setup and solution of a 3D, turbulent flow of a non-newtonian fluid. Turbulent

More information

Recent developments for the multigrid scheme of the DLR TAU-Code

Recent developments for the multigrid scheme of the DLR TAU-Code www.dlr.de Chart 1 > 21st NIA CFD Seminar > Axel Schwöppe Recent development s for the multigrid scheme of the DLR TAU-Code > Apr 11, 2013 Recent developments for the multigrid scheme of the DLR TAU-Code

More information

True 3D CAE visualization of filling imbalance in geometry-balanced runners

True 3D CAE visualization of filling imbalance in geometry-balanced runners True 3D CAE visualization of filling imbalance in geometry-balanced runners C.C. Chien, * C.C. Chiang, W. H. Yang, Vito Tsai and David C.Hsu CoreTech System Co.,Ltd., HsinChu, Taiwan, ROC Abstract The

More information

DrivAer-Aerodynamic Investigations for a New Realistic Generic Car Model using ANSYS CFD

DrivAer-Aerodynamic Investigations for a New Realistic Generic Car Model using ANSYS CFD DrivAer-Aerodynamic Investigations for a New Realistic Generic Car Model using ANSYS CFD Thomas Frank (*), BenediktGerlicher (*), Juan Abanto (**) (*) ANSYS Germany, Otterfing, Germany (**) ANSYS Inc.,

More information

FLUENT Secondary flow in a teacup Author: John M. Cimbala, Penn State University Latest revision: 26 January 2016

FLUENT Secondary flow in a teacup Author: John M. Cimbala, Penn State University Latest revision: 26 January 2016 FLUENT Secondary flow in a teacup Author: John M. Cimbala, Penn State University Latest revision: 26 January 2016 Note: These instructions are based on an older version of FLUENT, and some of the instructions

More information

Use of numerical flow simulations (CFD) for optimising heat exchangers

Use of numerical flow simulations (CFD) for optimising heat exchangers www.guentner.eu Technical article from 03.04.2017 Author Dr. Andreas Zürner Research Güntner GmbH & Co. KG Use of numerical flow simulations (CFD) for optimising heat exchangers Numerical flow simulations

More information

CFD MODELING FOR PNEUMATIC CONVEYING

CFD MODELING FOR PNEUMATIC CONVEYING CFD MODELING FOR PNEUMATIC CONVEYING Arvind Kumar 1, D.R. Kaushal 2, Navneet Kumar 3 1 Associate Professor YMCAUST, Faridabad 2 Associate Professor, IIT, Delhi 3 Research Scholar IIT, Delhi e-mail: arvindeem@yahoo.co.in

More information

Application of Wray-Agarwal Turbulence Model for Accurate Numerical Simulation of Flow Past a Three-Dimensional Wing-body

Application of Wray-Agarwal Turbulence Model for Accurate Numerical Simulation of Flow Past a Three-Dimensional Wing-body Washington University in St. Louis Washington University Open Scholarship Mechanical Engineering and Materials Science Independent Study Mechanical Engineering & Materials Science 4-28-2016 Application

More information

ANSYS ICEM CFD User's Manual

ANSYS ICEM CFD User's Manual ANSYS ICEM CFD User's Manual ANSYS, Inc. Southpointe 2600 ANSYS Drive Canonsburg, PA 15317 ansysinfo@ansys.com http://www.ansys.com (T) 724-746-3304 (F) 724-514-9494 Release 17.0 January 2016 ANSYS, Inc.

More information

Modeling of a DaimlerChrysler Truck Engine using an Eulerian Spray Model

Modeling of a DaimlerChrysler Truck Engine using an Eulerian Spray Model Modeling of a DaimlerChrysler Truck Engine using an Eulerian Spray Model C. Hasse, S. Vogel, N. Peters Institut für Technische Mechanik RWTH Aachen Templergraben 64 52056 Aachen Germany c.hasse@itm.rwth-aachen.de

More information

CFD Post-Processing of Rampressor Rotor Compressor

CFD Post-Processing of Rampressor Rotor Compressor Gas Turbine Industrial Fellowship Program 2006 CFD Post-Processing of Rampressor Rotor Compressor Curtis Memory, Brigham Young niversity Ramgen Power Systems Mentor: Rob Steele I. Introduction Recent movements

More information

Free Convection Cookbook for StarCCM+

Free Convection Cookbook for StarCCM+ ME 448/548 February 28, 2012 Free Convection Cookbook for StarCCM+ Gerald Recktenwald gerry@me.pdx.edu 1 Overview Figure 1 depicts a two-dimensional fluid domain bounded by a cylinder of diameter D. Inside

More information

Recent & Upcoming Features in STAR-CCM+ for Aerospace Applications Deryl Snyder, Ph.D.

Recent & Upcoming Features in STAR-CCM+ for Aerospace Applications Deryl Snyder, Ph.D. Recent & Upcoming Features in STAR-CCM+ for Aerospace Applications Deryl Snyder, Ph.D. Outline Introduction Aerospace Applications Summary New Capabilities for Aerospace Continuity Convergence Accelerator

More information

Open source software tools for powertrain optimisation

Open source software tools for powertrain optimisation Open source software tools for powertrain optimisation Paolo Geremia Eugene de Villiers TWO-DAY MEETING ON INTERNAL COMBUSTION ENGINE SIMULATIONS USING OPENFOAM TECHNOLOGY 11-12 July, 2011 info@engys.eu

More information

Verification of Laminar and Validation of Turbulent Pipe Flows

Verification of Laminar and Validation of Turbulent Pipe Flows 1 Verification of Laminar and Validation of Turbulent Pipe Flows 1. Purpose ME:5160 Intermediate Mechanics of Fluids CFD LAB 1 (ANSYS 18.1; Last Updated: Aug. 1, 2017) By Timur Dogan, Michael Conger, Dong-Hwan

More information

Volute Optimization Workflow

Volute Optimization Workflow Volute Optimization Workflow Volute design optimization with CAESES, Grid Pro, and TCFD Mattia Brenner Head of Sales Europe FRIENDSHIP SYSTEMS AG brenner@friendship-systems.com Samuel E James Director

More information

GEOMETRY MODELING & GRID GENERATION

GEOMETRY MODELING & GRID GENERATION GEOMETRY MODELING & GRID GENERATION Dr.D.Prakash Senior Assistant Professor School of Mechanical Engineering SASTRA University, Thanjavur OBJECTIVE The objectives of this discussion are to relate experiences

More information

1.2 Numerical Solutions of Flow Problems

1.2 Numerical Solutions of Flow Problems 1.2 Numerical Solutions of Flow Problems DIFFERENTIAL EQUATIONS OF MOTION FOR A SIMPLIFIED FLOW PROBLEM Continuity equation for incompressible flow: 0 Momentum (Navier-Stokes) equations for a Newtonian

More information

Introduction to ANSYS ICEM CFD

Introduction to ANSYS ICEM CFD Lecture 1 Introduction to ANSYS ICEM CFD 14.5 Release Introduction to ANSYS ICEM CFD 2012 ANSYS, Inc. April 1, 2013 1 Release 14.5 Purpose/Goals Ansys ICEM CFD is a general purpose grid generating program

More information

Computational Fluid Dynamics autumn, 1st week

Computational Fluid Dynamics autumn, 1st week Computational Fluid Dynamics 2016 autumn, 1st week 1 Tamás Benedek benedek [at] ara.bme.hu www.ara.bme.hu/~benedek/cfd/icem The most important rule: Dont use space or specific characters in: File names,

More information

Overview and Recent Developments of Dynamic Mesh Capabilities

Overview and Recent Developments of Dynamic Mesh Capabilities Overview and Recent Developments of Dynamic Mesh Capabilities Henrik Rusche and Hrvoje Jasak h.rusche@wikki-gmbh.de and h.jasak@wikki.co.uk Wikki Gmbh, Germany Wikki Ltd, United Kingdom 6th OpenFOAM Workshop,

More information

Autodesk Moldflow Insight AMI Cool Analysis Products

Autodesk Moldflow Insight AMI Cool Analysis Products Autodesk Moldflow Insight 2012 AMI Cool Analysis Products Revision 1, 22 March 2012. This document contains Autodesk and third-party software license agreements/notices and/or additional terms and conditions

More information

Compressible Flow in a Nozzle

Compressible Flow in a Nozzle SPC 407 Supersonic & Hypersonic Fluid Dynamics Ansys Fluent Tutorial 1 Compressible Flow in a Nozzle Ahmed M Nagib Elmekawy, PhD, P.E. Problem Specification Consider air flowing at high-speed through a

More information

HPC Computer Aided CINECA

HPC Computer Aided CINECA HPC Computer Aided Engineering @ CINECA Raffaele Ponzini Ph.D. CINECA SuperComputing Applications and Innovation Department SCAI 16-18 June 2014 Segrate (MI), Italy Outline Open-source CAD and Meshing

More information

Three Dimensional Numerical Simulation of Turbulent Flow Over Spillways

Three Dimensional Numerical Simulation of Turbulent Flow Over Spillways Three Dimensional Numerical Simulation of Turbulent Flow Over Spillways Latif Bouhadji ASL-AQFlow Inc., Sidney, British Columbia, Canada Email: lbouhadji@aslenv.com ABSTRACT Turbulent flows over a spillway

More information

CD-adapco STAR Global Conference, Orlando, 2013, March 18-20

CD-adapco STAR Global Conference, Orlando, 2013, March 18-20 Transient Radial Blower Simulation as Part of the Development Process W. Kühnel, M. Weinmann, G. Apostolopoulos, S. Larpent Behr GmbH & Co. KG, Germany CD-adapco STAR Global Conference, Orlando, 2013,

More information

LS-DYNA 980 : Recent Developments, Application Areas and Validation Process of the Incompressible fluid solver (ICFD) in LS-DYNA.

LS-DYNA 980 : Recent Developments, Application Areas and Validation Process of the Incompressible fluid solver (ICFD) in LS-DYNA. 12 th International LS-DYNA Users Conference FSI/ALE(1) LS-DYNA 980 : Recent Developments, Application Areas and Validation Process of the Incompressible fluid solver (ICFD) in LS-DYNA Part 1 Facundo Del

More information

Analysis of low cycle fatigue considering geometric manufacturing tolerances

Analysis of low cycle fatigue considering geometric manufacturing tolerances presented at the 14th Weimar Optimization and Stochastic Days 2017 Source: www.dynardo.de/en/library Analysis of low cycle fatigue considering geometric manufacturing tolerances SIEMENS AG applies ANSYS,

More information

Answers to Webinar "Wind farm flow modelling using CFD update" Q&A session

Answers to Webinar Wind farm flow modelling using CFD update Q&A session Answers to Webinar "Wind farm flow modelling using CFD - 2012 update" Q&A session Christiane Montavon, Ian Jones Physics related Q: Should the roughness map be scaled from the normal WAsP map to the CFD

More information

Coupling of STAR-CCM+ to Other Theoretical or Numerical Solutions. Milovan Perić

Coupling of STAR-CCM+ to Other Theoretical or Numerical Solutions. Milovan Perić Coupling of STAR-CCM+ to Other Theoretical or Numerical Solutions Milovan Perić Contents The need to couple STAR-CCM+ with other theoretical or numerical solutions Coupling approaches: surface and volume

More information

APPENDIX I OVERVIEW OF TCAD SIMULATION TOOL

APPENDIX I OVERVIEW OF TCAD SIMULATION TOOL 97 APPENDIX I OVERVIEW OF TCAD SIMULATION TOOL INTRODUCTION TCAD (Technology Computer Aided Design) is a technology that solves the equations representing the manufacturing process of Large Scale Integration

More information

Analysis of an airfoil

Analysis of an airfoil UNDERGRADUATE RESEARCH FALL 2010 Analysis of an airfoil using Computational Fluid Dynamics Tanveer Chandok 12/17/2010 Independent research thesis at the Georgia Institute of Technology under the supervision

More information

Parametric. Practices. Patrick Cunningham. CAE Associates Inc. and ANSYS Inc. Proprietary 2012 CAE Associates Inc. and ANSYS Inc. All rights reserved.

Parametric. Practices. Patrick Cunningham. CAE Associates Inc. and ANSYS Inc. Proprietary 2012 CAE Associates Inc. and ANSYS Inc. All rights reserved. Parametric Modeling Best Practices Patrick Cunningham July, 2012 CAE Associates Inc. and ANSYS Inc. Proprietary 2012 CAE Associates Inc. and ANSYS Inc. All rights reserved. E-Learning Webinar Series This

More information

KEYWORDS Morphing, CAE workflow, Optimization, Automation, DOE, Regression, CFD, FEM, Python

KEYWORDS Morphing, CAE workflow, Optimization, Automation, DOE, Regression, CFD, FEM, Python DESIGN OPTIMIZATION WITH ANSA MORPH 1 Tobias Eidevåg *, 1 David Tarazona Ramos *, 1 Mohammad El-Alti 1 Alten AB, Sweden KEYWORDS Morphing, CAE workflow, Optimization, Automation, DOE, Regression, CFD,

More information

STAR-CCM+: Wind loading on buildings SPRING 2018

STAR-CCM+: Wind loading on buildings SPRING 2018 STAR-CCM+: Wind loading on buildings SPRING 2018 1. Notes on the software 2. Assigned exercise (submission via Blackboard; deadline: Thursday Week 3, 11 pm) 1. NOTES ON THE SOFTWARE STAR-CCM+ generates

More information

Statistics on Structures 3.1

Statistics on Structures 3.1 New features exploring new fields of application Christian Bucher, Claudia Bucher, Christopher Riemel, Sebastian Wolff* DYNARDO Austria GmbH WOST 2014, 6./7.11.2014, Weimar optislang & SoS: What is the

More information