Performance Optimization Of Screw Compressors Based On Numerical Investigation Of The Flow Behaviour In The Discharge Chamber

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Purdue University Purdue e-pubs International Compressor Engineering Conference School of Mechanical Engineering 2012 Performance Optimization Of Screw Compressors Based On Numerical Investigation Of The Flow Behaviour In The Discharge Chamber Maria Pascu maria.pascu@howden.com Ahmed Kovacevic Nsikan Udo Follow this and additional works at: http://docs.lib.purdue.edu/icec Pascu, Maria; Kovacevic, Ahmed; and Udo, Nsikan, "Performance Optimization Of Screw Compressors Based On Numerical Investigation Of The Flow Behaviour In The Discharge Chamber" (2012). International Compressor Engineering Conference. Paper 2051. http://docs.lib.purdue.edu/icec/2051 This document has been made available through Purdue e-pubs, a service of the Purdue University Libraries. Please contact epubs@purdue.edu for additional information. Complete proceedings may be acquired in print and on CD-ROM directly from the Ray W. Herrick Laboratories at https://engineering.purdue.edu/ Herrick/Events/orderlit.html

1145, Page 1 Performance Optimization of Screw Compressors Based on Numerical Investigation of the Flow Behavior in the Discharge Chamber Maria PASCU 1 *, Ahmed KOVACEVIC 2, Nsikan UDO 1 1 Howden Compressors Ltd, Glasgow, UK Maria.Pascu@howden.com Tel: +44 (0) 141 303 5223 Fax: +44 (0) 141 303 5223 2 City University, London, UK A.Kovacevic@city.ac.uk * Corresponding Author ABSTRACT In the field of screw compressors, although the basic operation of such flow systems is well known and the analytical methods for their performance prediction are well established, only few attempts of investigating the flow in screw compressors by means of CFD can be identified in the available literature. The present paper aims at contributing to this field by establishing CFD as permanent tool for compressor design and optimization during the new product development process at a screw compressor manufacturer. The major challenges during this process related to the implementation of a valid meshing technique, as this is a far more unconventional process in the case of screw compressors than any other meshing techniques available within the commercial solvers, due to the very tight interlobe clearances. The definition of an optimum meshing procedure and, subsequently, of appropriate boundary conditions, allowed the successful setup of flow simulations in an oilfree screw compressor and the prediction of the compressor performance, with a good degree of confidence. Within the scope of the present paper, the CFD analysis focused on two main objectives. Firstly, a baseline model for the optimization exercise was determined: the discharge chamber (discharge port, pipe and flanges) of the modular casing of the single-wall/ rolling-element bearing/ compressor, characterized by a rotor diameter of 127 mm. Secondly, the performance of the baseline was assessed against that of several new designs which aimed at improving the gas flow in the discharge chamber. At the comparison stage, the correct definition of accurate performance indicators was very important, as these indicators had to capture the overall flow improvements achieved by the new designs. The flow analysis included both qualitative and quantitative evaluations of parameters like the variation of the pressure and temperature in the discharge chamber, torque, power, and entropy variation. This detailed analysis allowed for design improvements of the discharge chamber to be implemented and virtually tested in order to determine an optimized compressor geometry, which will be subsequently incorporated in the actual modular casing of the compressor. 1. INTRODUCTION The trend in modern engineering in recent years has been to optimize existing technologies rather than to implement new ones. In the field of screw compressors, the manufacturing techniques have become so advanced that, nowadays, the rotor manufacturing can be done to very tight tolerances and the interlobe clearances created by the rotor meshing is in the order of few microns. Although the basic operation of such machines is well known and the

1145, Page 2 analytical methods for their performance prediction are well established, only few attempts of investigating the flow in screw compressors by means of CFD can be identified in the available literature. Nevertheless, there are many advantages in considering CFD as integrated part of the design and optimization process of screw compressors (SC). This is mostly because CFD complements the experimental and analytical efforts by providing an alternative costeffective mean of simulating real fluid flows and substantially reduces lead times and costs of designs and production compared with an experimental based approach, Tiu and Liu (2008). Probably the most noticeable efforts in the field of numerical analysis of SC were made by Kovacevic et. al.(2005, 2007, 2003, 2001) where in addition to establishing a mesh procedure specific to such flow machines, the author also explains adequate boundary calculations to encourage good convergence and minimal numerical errors. Similar efforts were made by Sauls and Branch (2009), where the commercial code ANSYS-CFX was used for the detailed analysis of a refrigeration SC designed for use with R134a in air- and water-cooled chillers. Also benefiting from the mesh technique documented in [2]-[7], Steinmann (2006) reported results from the modeling of a helicallobed pump and a SC using ANSYS-CFX. In a similar fashion, the present paper attempts at contributing to the field by establishing CFD as design tool for the optimization of SC during the new product development process at a screw compressor manufacturer. The CFD analysis focused on two main objectives. First, a baseline model for the optimization exercise was determined: the discharge chamber (discharge port, pipe and flanges) of the modular casing of a single-wall/ rolling-element bearing/ compressor, characterized by a rotor diameter of 127 mm. Second, the performance of the baseline was assessed against that of several new designs which aimed at improving the gas flow in the discharge chamber. The results of this analysis will be presented next. 2. NUMERICAL MODELS In the present work, the following framework for the CFD analysis of SC was used, as described in Pascu (2009). The main geometrical features of the rotors are: rotors diameter: D 127mm ratio length / diameter: L=1.65 volume ratio: V i =2.2 Number of lobes on the male rotor: N 4 M Number of lobes on the female rotor: N 6 F Figure 1: Framework for typical CFD analysis "N" rotor profiles, as presented by Stosic (2007) Distance between the rotors centre lines: a 100mm Screw wrap angle: 300 deg

1145, Page 3 Figure 2: Geometry of the N rotor profiles The baseline for the current optimization exercise is the discharge chamber (port, pipe and flanges) of the modular casing of a single-wall/ rolling-element bearing/ compressor, characterized by a rotor diameter of 127 mm, see below. Several geometrical modifications were applied to the baseline, consisting of: elimination of the area contraction in the discharge pipe, as well as any sharp corners in the flow domain, as depicted in Figure 3. bearings cut flange diameter 50mm Figure 3: Modified discharge chamber (green) vs the baseline The area contraction was replaced by an area divergence, with the purpose of slowing the flow towards the outlet boundary. The curvature of this divergence was modelled so that it follows the radius of the bearing ellipses. Several values of the diameter of the discharge flanges were analyzed, i.e. 80, 70, 60 and 50mm. The changes in the compressor casing are emphasized in Figure 3. Another check point for the new designs was the area progression of the flow from the discharge port and into the chamber, i.e. contractions should be avoided. The flow domain in the discharge chamber (including the port) was sectioned in the centre, as the flow path is mirrored about this plane. The constraint was A A and this was satisfied by all the proposed designs. port pipe 2 2 A pipe 2 A port 2 Figure 4: Area progression from the discharge port into the chamber 3. MESH GENERATION FOR SCREW COMPRESSORS Block structured grids are preferred for the mesh generation of complex geometries. The grid generation process is very much simplified as the domain is subdivided into a number of simpler blocks. For screw compressors, the preferred topologies include polyhedral and O-grids. During the mesh generation process, the spatial domain of a screw compressor is replaced by a grid with discrete finite volumes and a composite grid, made of several structured and unstructured grid blocks patched together and based on a single boundary fitted coordinate system. The number of these volumes depends on the domain dimension and the required accuracy. The domain consists of four sub-domains, two of which refer to the compressor casing and the other two to the male and female rotors, as depicted in Figure 8. The critical sub-domains

1145, Page 4 in this setup are the two rotors as they contain the working chamber as well as the clearances and leakage paths (radial, axial, interlobe and blow-hole area). Generating the grids for these domains is by far the most challenging part of the entire meshing procedure, as both micro- and macro- scales elements have to be solved (the interlobe clearances is in the order of several microns, whilst the rest of the rotor body measures 200 mm). In this case, a technique dedicated to screw compressor rotors was employed, as described by Kovacevic (2007), included in SCORGgg (Screw Compressor Rotor Geometry grid generator). This procedure is fully explained in several publications, see Kovacevic et. al. (2003) and (2001) and therefore, only the essential steps, aimed at offering a general understanding of the technique, will be described next. 4. ROTORS MESH The rotors are helical surface elements generated by simultaneous rotation and translation along the rotor axis, which are based on two-dimensional definition of the profile points at one cross section. The grid generation of the rotors starts from the rotor profile coordinates and their derivatives. The interlobe clearances are accounted for by the geometry and added to the rotors. The envelope meshing method, as defined by Stosic(2005), is applied for the generation of both rotors, as indicated in Figure 5a. This method assumes the rotor geometry is completed by generating the profile around the rotor axis for an angle defined for the number of lobes. i 2 (1) r 1 z 1 z 1 (2) r2 r 1 z 2 where z 1 and z 2 are number of lobes on the male and female rotors, respectively. This way, the rotor geometry is obtained for each cross section, along with the inner boundary of the "O" mesh on the rotors. In order to obtain the outer boundary of the "O" mesh, the rotor rack is used and connected to the outer rotor circle to form a closed line as shown Figure 5b. The circle, to which the rack is connected, represents the rotor housing. It is formed by adding a radial clearance to the outer rotor circle r 0 : r 10 r (3) 1 e r 1 r r (4) 20 2 e r 2 Figure 5: Generation of the rotor boundaries, adapted from Kovacevic (2007) The boundary points are set at constant distance along the profile. However, in such a case, some details of the rotor profile may be lost. Therefore, the boundaries are discretised according to the rotor geometry and flow characteristics. The distribution is applied to the inner boundary to follow the rotor coordinate points. The regular distribution on the outer boundary assures a proper generation of the inner grid points. When both boundaries are mapped by an equal number of boundary nodes, an analytical transfinite interpolation is applied to generate the internal points of the numerical mesh. The rotor geometry is described by the boundary and the internal points in a sequence of rotor cross-sections. The three-dimensional mesh is generated by dividing the domain into a number of such cross-sections along the rotor axis, where each cross-section is then calculated separately as two-dimensional face for both rotors, by applying the following procedures:

1. transformation from the "physical" domain to the numerical non-dimensional domain 2. definition of the edges by applying an adaptive technique 3. selection and matching of four non-contacting boundaries 4. calculation of curves, which connect the facing boundaries by transfinite interpolation 5. application of stretching function to obtain the distribution of the grid points 6. orthogonalization, smoothing and final checking of the grid consistency 1145, Page 5 When defining the boundary regions, region elements of either quadrilateral or triangular shape are formed, depending on the shape of the boundary cell face, by using the vertices of the boundary cell face. This defines the numerical mesh by the vertex, cell and region specifications. This form of data allows convenient connection to a general numerical solver of the finite volume type. In the present paper, each two-dimensional cross-section of the rotor is characterized by 30 grid points along the lobe, 6 along the radial direction and 30 points in the Z direction. For the male rotor, combined polar and cosinus distributions were used during the adaptation process, whilst for the female combined polar and sinus. The adaptation coefficients used in the present case are 2 for the male and 0.1 for the female (SCORGgg values). Figure 6: Mesh over rotors cross-section before 3D interpolation This technique resulted in 130,000 nodes for the male and approximately 127,000 for the female, of structured mesh. 5. NUMERICAL MESH FOR THE DISCHARGE DOMAIN The casing domain includes both the suction and discharge chambers, i.e. the stationary flow domains. ANSYS ICEM v13.0 was used for the mesh generation process. Special mesh refinement techniques were employed for areas like the discharge port (the interface with the rotors), as shown below. discharge port bearings cut Figure 7: Representative mesh for the discharge port/ chamber The overall mesh statistics typically used for the compressor simulations are: Global Number of Nodes 465,721 Global Number of Elements 1,293,414 Total Number of Tetrahedrons 1,075,014 Total Number of Hexahedrons 218,400 6. ADAPTIVE MESHING AND TIMESTEP CALCULATION The compression process in a screw compressor occurs due to the rotation of the male rotor at a preset motor speed, which in turn drives the female rotor. In order to be able to accurately simulate this scenario, an adaptive mesh, which is modified at the beginning of each timestep, is required. In the previous paragraph, the procedure for generating the mesh for both the rotor and the casing domains was presented. There is no need for interpolation of the mesh for the stationary parts and therefore, it is kept constant through the simulation process.

1145, Page 6 Because of the rotation of the two rotors, the shape of the working chamber is changed constantly, as the gas particles enter the domain through the suction port, are compressed within the rotors and then discharged at the desired pressure. An adaptive meshing technique is utilized to capture all the changes which occur within the working chamber during the compression process. The number of time changes required by the rotors mesh is 120 for the full rotation of the male rotor, with the number of nodes kept constant across the timesteps. This is calculated as: No of grids No of elements per lobe No of lobes ( male) 120 (5) The rotor mesh is replaced with the updated lobe position at time intervals equal to the calculated timestep: 1 timestep n[ rpm] No of grids (6) 7. BOUNDARY CONDITIONS An exemplary depiction of the numerical model of the screw compressor is presented in Figure 8, with the rotors mesh at the first timestep (start of the compression process). The commercial code ANSYS-CFX v13.0 was used for all numerical simulations and subsequent post-processing. inlet: opening rotors (adaptive mesh) outlet: opening Figure 8: Numerical grid of the compressor model at the first timestep Both the suction and the discharge are described by opening physical boundaries, where the flow is allowed in and out of the numerical domain. At the suction end, a pressure boundary was applied, with the "entrainment" option at the reference pressure and specified temperature. Choosing the entrainment option has a similar effect to a pressure specified opening boundary, has the same robustness and stability, but does not require a flow direction. Instead, the solver calculates locally the flow direction, based on the velocity field. When the flow direction is into the domain, the pressure value is taken to be the total pressure based on the normal component of velocity. When the flow is leaving the domain, it is taken to be the relative static pressure. A general grid interface (GGI) was applied between the casing and the two rotors, with the connection method set to general. Such interfaces were applied on all the contact surfaces between the stationary and rotating parts of the model. At the discharge end of the compressor, an opening boundary to specified relative pressure and opening temperature was applied. 8 FLOW REGIME AND CONVERGENCE High flow velocities in the numerical domain impose assumptions regarding the turbulence regime. However, solving a turbulent regime for the current set-up increased the computational effort by approximately 20%, from 80 hours required for a laminar run to circa 100 hours for a converged solution considering the Shear Stress Transport

1145, Page 7 model (SST), Menter (1993). Nevertheless, a comparison between the two models, in terms of both computational effort and physical quantities was carried out. A total of 720 timesteps was simulated for each case, which coincided with 6 full rotations of the male rotor. The results considered are over one full rotation, as emphasized on the pressure chart presented in Figure 9. Figure 9: Comparison between laminar and turbulent regimes Plots of the discharge pressure against the shaft angle reveal very similar flow behaviour between the two scenarios. Therefore, for all subsequent simulations, the laminar regime was employed as it resulted in shorter calculation times. All simulations terminated in well converged solutions with the mass error dropping as low as 4% after the sixth male rotation, as indicated in the table below. These errors will further decrease with increased mesh resolution and for further rotations of the male rotor. For the present case however, the mesh described in the previous section and 720 timesteps were found sufficient. Table 1: Mass error for converged solutions Rotation MFin [kg/s] MFout [kg/s] Error [%] 1 st 1.95 1.08 44.54 2 nd 0.38 0.45 15.71 3 rd 0.46 0.42 9.24 4 th 0.45 0.44 1.97 5 th 0.45 0.45 1.37 6 th 0.44 0.43 3.40 9. RESULTS A first (qualitative) evaluation of the numerical results can be carried out based on representative pressure and temperature plots, which prove helpful in observing the compression cycle, from the compressor start-up (warm-up process) until the end of the cycle. Figure 10 shows the pressure build-up from start-up (first timestep, when pressure over the flow domain is the reference pressure set to atmospheric value) in the modified design. A similar behavior was observed for the baseline.

1145, Page 8 Figure 10: Pressure build-up in the working chamber and discharge of the modified design In Figure 11 the pressure variation in the discharge chamber, at the interface with the two rotors, is depicted. The compressors were compared, baseline and the modified design, and it was observed that they are characterized by similar behavior over the six full rotations.

1145, Page 9 Figure 11: Pressure variation at the rotor interface in the discharge chamber Figure 12 depicts a similar evolution of the shaft power along six male rotor rotations. The similar behavior of the two compressors is due to the fact that, as positive displacement machines, screw compressors consume power mostly due to increase in internal energy of the fluid and only marginal difference may occur due to flow losses in ports which is associated with the kinetic energy of the flow. In order to compare the performance of the proposed models, the flow rate in the discharge chamber was measured for both models: Flow 0.171 kg/s mod Flow 0.197 kg/s base It can be observed from these calculations that the modified design is characterized by a slightly smaller flow (approx 14% less) which means that smaller losses occur in this chamber when compared to the baseline model. Figure 12: Power required by the compressor shaft CONCLUSIONS The main objective of the present paper was to demonstrate the capability of the established CFD procedure by use of SCORG and ANSYS-CFX to optimize geometry of the discharge port. The CFD analysis followed two venues: firstly, a baseline model for the optimization exercise was determined, i.e. the discharge chamber of a modular casing of a single-wall/ rolling-element bearing/ compressor; secondly, the performance of the baseline was assessed against that of several new designs which aimed at improving the gas flow in the discharge chamber.

1145, Page 10 The implementation of a valid meshing technique as defined in the available literature allowed the definition of an optimum grid generation procedure and, subsequently, of appropriate boundary conditions. This resulted in the successful setup of flow simulations in an oil-free screw compressor and the prediction of the compressor performance, with a good degree of confidence. After bringing several geometrical improvements to the baseline model in order to stabilize the flow in the discharge chamber and reduce the turbulence, a thorough flow analysis, which included pressure plots and the definition of various performance indicators, was carried out. It was observed that the geometrical modifications of the discharge chamber produced the desired effect and turbulences in the discharge domain were reduced. Additionally, when comparing the performance of the two compressor models, it was observed that the modified design was characterized by smaller flow losses in the discharge chamber when compared to the baseline model. Such numerical analysis will allow for design improvements of the discharge chamber to be implemented and subsequently tested on the adequate test rig and incorporated in the actual casing of the compressor. References [1] Tu, J., Yeoh, G. H., and Liu, C., 2008, Computational fluid dynamics, Butterworth Heinemann [2] Stosic, N., Smith, I., and Kovacevic, A., 2005, Screw compressors. Mathematical modeling and performance calculation, Springer Verlag [3] Kovacevic, A., Stosic, N., and Smith, I., 2007, Screw compressors. Three dimensional computational fluid dynamics and solid fluid interaction, Springer Verlag [4] Kovacevic, A., Stosic, N., and Smith, I., CFD analysis of screw compressor performance, Centre for positive displacement compressor technology, City University, London [5] Kovacevic, A., Stosic, N., and Smith, I., 2003, Three-dimensional numerical analysis of screw compressor performance, Journal of Computational Methods in Sciences of Engineering, vol.3, No.2 [6] Kovacevic, A., Stosic, N., and Smith, I., 2001, Analysis of screw compressor by means of threedimensional numerical modeling, International conference on compressor and their system, IMechE conference transactions 2001-7, London [7] Mujic, E., Kovacevic, A., Stosic, N., and Smith, I., The influence of port shape on gas pulsations in a screw compressor discharge chamber, Centre for positive displacement compressor technology, City University, London [8] Sauls, J., and Branch, S., 2009, CFD analysis of refrigeration screw compressors, Ingersoll Rand [9] Steinmann, A., 2006, Numerical simulation of fluid flow in screw machines with moving mesh techniques in ANSYS CFX, Schraubenmaschinen 2006; VDI Verlag GmbH [10] Pascu, M., 2009, Axial fan design. Modern layout and design strategy for fan performance optimization, VDM Verlag [11] Menter, F.R., 1993, Zonal two-equation turbulence models for aerodynamic flows, AIAA Paper 96-2906