This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Multi-Objective Adjoint Optimization of Flow-Bench Port Geometry
Technical Paper
2018-01-0772
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
The combustion efficiency of direct injection engines is largely dependent upon the mixing of fuel in air, thereby creating a combustible mixture. Such a process is highly dependent upon the motion of the charge in the cylinder. The shape of the intake runners and valves determines the charge motion generated within the engine. Swirl and tumble, generated along the vertical and horizontal axis respectively, govern the charge motion and hence distribution of combustible mixture. Unlike traditional parametric optimization where the parameter space has to be predetermined, adjoint optimization utilizes the gradient of objective functions obtained from a computational fluid dynamics solution to modify the shape of the original CAD geometry. During the optimization process, specific parts of the geometry can be morphed in any direction freely. The final design is a fluid volume generated as a result of such adjoint computations.
In the present study, multi-objective adjoint optimization is applied to a cylinder intake geometry wherein two symmetric runners with constant valve lift (flow-bench port geometry) are employed, with objectives of pressure loss minimization and charge motion maximization. Separate analyses have been performed for charge motion along cylindrical (swirl) and horizontal (tumble) axes. Application of the multi-objective adjoint approach on the intake geometry results in increased charge motion (mixing) and a reduction in pressure loss.
Recommended Content
Authors
Citation
Verma, I., Hill, C., and Xu, M., "Multi-Objective Adjoint Optimization of Flow-Bench Port Geometry," SAE Technical Paper 2018-01-0772, 2018, https://doi.org/10.4271/2018-01-0772.Also In
References
- Bahram , K. , Haworth , D.C. , and Hubler , M.S. Multidimensional Port-And-In-Cylinder Flow Calculations and Flow Visualization Study in an Internal Combustion Engine with Different Intake Configurations SAE Technical Paper 941871 1994 10.4271/941871
- Go Drie , P. and Zellat , M. Simulation of Flow Field Generated by Intake Port-Valve-Cylinder Configurations- Comparison with Measurements and Applications SAE Technical Paper 940521 1994 10.4271/940521
- Neusser , H.J. , Spiegel , L. , and Ganser , J. Particle Tracking Velocimetry-A Powerful Tool to Shape the In-Cylinder Flow of Modern Multi-Valve Engine Concepts SAE Technical Paper 950102 1995 10.4271/950102
- Yang , X. et al. Pitfalls For Accurate Steady-State Port Flow Simulations Proceedings of the ASME 2012 International Mechanical Engineering Congress & Exposition, IMECE2012 November 9-15 2012 Houston, TX
- Gosman , A.D. and Ahmed , A.M.Y. Measurement and Multidimensional Prediction of Flow in an Axisymmetric Port/Valve Assembly SAE Technical Paper 870592 1987 10.4271/870592
- Yang , X. , Lin , J. , and Deming , J. Three-Dimensional Simulation Calculation and Experimental Study of Flow in the Port of IC Engines Transactions of CSICE 8 2 1990
- Godrie , P. and Zellat , M. Simulation of Flow Field Generated by Intake Port-Valve-Cylinder Configurations-Comparisons with Measurement and Applications SAEĀ Technical Paper 940521 1994 10.4271/20xx-01-xxxx
- Tabbal , A. et al. Numerical Simulation of Port-Valve-Cylinder Flow in Reciprocating Engines SAE Technical Paper 900820 1990 10.4271/900820
- Dent , J.C. and Chen , A. Investigation of Steady Flow through a Curved Inlet Port SAE Technical Paper 940522 1994 10.4271/940522
- Tayler , W. III , Leylek , L.H. , Sommer , R.G. , and Jain , S.K. IC Engine Intake Region Design Modifications for Loss Reduction on CFD Methods SAE Technical Paper 981026 1998 10.4271/981026
- Bianchi , G.M. , Cantore , G. , and Fontanesi , S. Turbulence Modeling in CFD Simulation of ICE Intake Flows: The Discharge Coefficient Prediction SAE Paper 2002-01-1118 2002 https://doi.org/10.4271/2002-01-1118
- Pagaldipti , N. and Chattopadhyay , A. A Discrete Semianalytical Procedure for Aerodynamic Sensitivity Analysis Including Grid Sensitivity Computers Math. Applic. 32 3 61 71 1996
- Wang , Z. , Tortorelli , D.A. , and Dantzig , J.A. Sensitivity Analysis and Optimization of Coupled Thermal and Flow Problems with Applications to Contraction Design Int. Jn. for Numerical Methods in Fluids 23 10 991 1020 1996
- Reuther , J. and Jameson , A. Baysal O. Supersonic Wing and Wing-Body Shape Optimization Using and Adjoint Formulation, CFD for Design and Optimization 232 New York ASME 1995 45 52
- Reuther , J. et al. 1996
- Xu , M. and Wei , M. 2013
- Xu , M. and Wei , M. 2014
- ANSYS, Inc. 2017
- Borrvall , T. and Petersson , J. Topology Optimization of Fluids in Stokes Flow Int. J. Num. Meth. Fluids 41 77 107 2003
- Moos , O. , Klimetzek , F. , and Rossmann , R. Bionic Optimization of Air-Guiding Systems SAE Technical Paper 2004-01-1377 2004 10.4271/2004-01-1377
- Othmer , C. , de Villiers , E. , and Weller , H.G. 2007
- Xu , M. , Wei , M. , Li , C. , and Dong , H. Adjoint-Based Optimization of Flapping Plates Hinged with a Trailing-Edge Flap Theoretical and Applied Mechanics Letters 5 1 4 2015
- Xu , M. and Wei , M. Using adjoint-based optimization to Study kinematics and deformation of Flapping Wings Journal of Fluid Mechanics 799 56 99 2016
- Hill , D.C. The Automatic Generation of Adjoint Solutions for a General Purpose Flow Solver 46th AIAA Aerospace Sciences Meeting and Exhibit Reno, NV
- Caridi , D. , Hill , D.C. , Xu , M. , and Braun , M. 2016
- Nadarajah , S. and Jameson , A. 2000
- Collis , S. S. , Ghayour , K. , Heinkenschloss , M. , Ulbrich , M. etĀ al. 2001
- Peter , J.E. and Dwight , R.P. Numerical Sensitivity Analysis for Aerodynamic Optimization: A Survey of Approaches Computers & Fluids 39 3 373 391 2010
- Nielsen , E. and Anderson , W. Aerodynamic Design Optimization on Unstructured Meshes Using the Navier-Stokes Equations AIAA Journal 37 11 185 191 1999
- Kim , C. , Kim , C. , and Rho , O. 2002
- Peter , J. and Mayeur , J. Improving Accuracy and Robustness of a Discrete Direct Differentiation Method and Discrete Adjoint Method for Aerodynamic Shape Optimization Proceedings of ECCOMAS Egmond ann Zee 2006
- Jameson , A. , Pierce , N. , and Martinelli , L. 1997
- Soemarwoto , B. 1997
- Dwight , R. and Brezillon , J. Effect of Approximations of the Discrete Adjoint on Gradient-Based Optimization AIAA Journal 44 12 3022 3031 2006