Knowledge Management in Simulation-based Design

Transcription

1 SL Weekly Meeting MaC nd Aug, 2005 Knowledge Management in Simulation-based Design Manas Bajaj (gtg628c@prism.gatech.edu) Georgia Tech Systems ealization Laboratory Copyright by Georgia Tech esearch Corporation, Atlanta, Georgia USA. All ights eserved. Developed by eislab.gatech.edu. Permission to use for non-commercial purposes is hereby granted provided this notice is included.

2 Simulation-based Design Simulation-based Design is a process in which simulation is the primary means of supporting design synthesis and evaluation yder s 6 steps to analysis problem solving Formulation Analysis Evaluation Classes of Analysis Problems: Original, Adaptive, outinized Model Surrogate of a real object GTC 2

3 Classes of Analysis Problems [Peak et al.] GTC Analysis Class Aspect Example Original Adpative outinized Inputs Design Families* Multi-layer PWBs Design Instances PWB #95145 Several Several One - Many Design Variations e-order layer stackup Several - Many Several - Many Several Solution Method Develop new method FEM, FDM, Use established method Analysis Procedure Develop procedure PWB warpage analysis Define analysis criteria Tmax = avg T of chip Define idealizations, Γ: Boundary conditions Uniform temperature Analytical body types Plane strain body Geometric simplifications Total thickness Material models Linear elastic Validate procedure Measure samples Shadow moire' Correlate with measurements Use established procedure IPC-D-279 PTH fatigue Outputs Validated solution method Validated analysis procedure Sensitivity studies Example datasets Analysis results & design impact Who Senior Analyst Analyst Designer Focus &D &D egular Usage * Design = product or process 3

4 esearch Issues Current State-of-the-Art in SBD Establishing relationships between design and analysis-related models» applicable only to routinized analysis Lack of a formal methodology to use domain knowledge to DESIGN analysis-related models» Ad-Hoc at the detailed level» Formalized at a very abstract level Approaches:» Composable Simulation, Multi-epresentation Architecture, Multi-Aspect Information Structure, STEP Information Exchange, Master Product Models, GTC 4

5 My esearch Contribution Adaptive and Original Analyses (focus); outinized Analyses (supported) Context Managing product related knowledge during SBD esearch Gap - Configuring and connecting product design and analysis-related models is primarily suitable for routinized analysis - Analysis-model design is formalized only at a very abstract level and ad-hoc at the detailed level Primary esearch Question How can we design / compose analysis-related models from a given product design model for original / variant analysis? Primary Hypothesis By formalizing the model states and transformations in SBD using the paradigm of graph-based meta-representation and graph grammars, we can design analysis-related models for supporting original and variant analysis GTC Analysis Problem Statement Solution Approach Analytical Product epresentation and Transformations 5

6 My Vision Fancy.but exciting! Product Design Focus on Design States Process Design Focus on designing the path to achieve design states + Knowledge epresentation Design Focus on designing the knowledge models to represent and evaluate products and process alternatives Models representing all states and abstractions of a product Transformations between model states (process-centric) GTC 6

7 Information-Driven Product Development PDM Coarse-grained Suppliers Not Computerinterpretable CAD1 CAD2 FEM Designers Not Interoperable Manufacturing Process Planning Implicit Analysts GTC 7

8 My esearch Contribution (cont.) Direct Impact of my esearch GTC 8

9 Items of Acquaintance Domains SBD Knowledge epresentation Open Standards (ISO STEP, OMG SysML, OMG UML, ) GTC Tools Open-Standard Tools» STEP-Book, IDA-STEP, JSDAI, Artisan (UML / SysML), Knowledge Modeling Tools» Protégé, CLIPS, JESS Programming» ECLIPSE (IDE for Java, C++, XML, UML, SysML, ); 912 plugins so far Notes / e-binder» MS OneNote Versioning»CVS Issue esolution» Bugzilla 9

10 SL Weekly Meeting MaC nd Aug, 2005 Nsikan s esearch Overview

11 Overview Problem Semantic retrieval methods are needed to support retrieval of archived parametric FEA models and supporting information from large online repositories esearch Issues epresentation» Heterogeneity» Expressivity etrieval algorithms»precision» Computational efficiency»formalizing relevance determination GTC 11

12 Common Scenario euse of FEA model as reference model for new variation of an existing case due to Need for data about new components Need for additional details A B - Search in which no exact match to the physical problem faced exists in archive - Existing FEA model is iteratively adapted GTC 12

13 Concerns Impact of addition of new information on modeling strategy New implementation tasks generated Amount of reusable data Additional searches required for missing data elevance of model s assumptions to new context Calls for development of semantic retrieval method, but What needs to be captured? How? How should these representations be manipulated? GTC 13

14 In Conclusion Contribution Semantic retrieval methodology Assess usefulness of description logic inference for semantic retrieval of FEA models Skills Software» Matlab, CATIA Programming» C, Java, SVG, XML, Knowledge-based Other» Description Logic Similar folks Sungshik, Greg, Manas GTC 14

15 SL Weekly Meeting MaC nd Aug, 2005 Sungshik s esearch Overview

16 Design for manufacture (DFM) Designing part having manufacturability in mind DFM that requires geometric tailoring Produces an existing part using different technology and material etains important mechanical characteristics by tailoring the geometry Procedure» Approximate geometry and design requirements are provided by the designer» Manufacturing process planning engineer determine process parameters and solid geometry that satisfy design requirements GTC 16

17 Challenge Competing nature of design requirements Coupling conditions in process parameters Modeling the design requirements in terms of process parameters Formulating and developing solution strategies for DFM problem DFM problem: A formulated problem that can be solved to provide solid geometry and process parameters that satisfy design requirements GTC 17

18 Goal To support formulating and developing solution strategies for DFM problem by allowing distributed engineers to share the previously formulated DFM problem GTC 18

19 Approach Complete automation of reasoning to determine process parameters and geometric variable is not feasible eason to the point where we can determine ranges for process parameters and retrieve DFM problems that posses same reasoning and ranges for process parameters Distributed engineers Storing and retrieving DFM problems Open repository for DFM problem Description logics will be used to enhance the reasoning capability for determining relevant DFM problem GTC 19