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Rapid Residual Stress and Distortion Prediction in Cast Aluminum Components Using Artificial Neural Network and Part Geometry Characteristics
Technical Paper
2014-01-0755
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Heat treated cast aluminum components like engine blocks and cylinder heads can develop significant amount of residual stress and distortion particularly with water quench. To incorporate the influence of residual stress and distortion in cast aluminum product design, a rapid simulation approach has been developed based on artificial neural network and component geometry characteristics. Multilayer feed-forward artificial neural network (ANN) models were trained and verified using FEA residual stress and distortion predictions together with part geometry information such as curvature, maximum dihedral angle, topologic features including node's neighbors, as well as quench parameters like quench temperature and quench media.
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Quan, Z., Gao, Z., Wang, Q., Wen, X. et al., "Rapid Residual Stress and Distortion Prediction in Cast Aluminum Components Using Artificial Neural Network and Part Geometry Characteristics," SAE Technical Paper 2014-01-0755, 2014, https://doi.org/10.4271/2014-01-0755.Also In
References
- Lasday S. B. Polyalkylene Glycol Quenching in Heat Treatment of Aluminum Alloy Parts Satisfies Strength Requirements While Limiting Distortion Ind. Heating 18 21 1989
- Nicol J. A. , Seaton E. D. , Kuhlman G. W. New Quenchant for Aluminum Adv. Mater. Processes 149 4 40S 40V 1996
- Liscic B. , Totten G. E. Benefits of Delayed Quenching J. Adv. Mater. Processes 9 180 184 1997
- Almen J. O. , Black P. H. Residual Stresses and Fatigue in Metals McGraw-Hill Book Company Inc. New York 1963
- Lee Y. S. , Dawson P. Obtaining Residual Stresses in Metal Forming after Neglecting Elasticity on Loading J. Appl. Mech. (Trans. ASME) 56 318 327 1989
- Mahdi M. , Zhang L. Applied Mechanics in Grinding - Part 7: Residual Stresses Induced by the Full Coupling of Mechanical Deformation, Thermal Deformation and Phase Transformation Int. J. Mach Tool. Manuf. 39 1285 1298 1999
- Long X. , Khanna S. K. Numerical Simulation of Residual Stresses in a Spot Welded Joint J. Eng. Mat. Tech. Trans. ASME 125 222 226 2003
- Eckersley J. S. , Meister T. J. Intelligent Design Takes Advantage of Residual Stresses Proceedings of the 3rd International Conference on Practical Applications of Residual Stress Technology May 15 17 USA 175 180 1991
- Ruud C. O. Residual Stresses and Their Measurement, Quenching and Distortion Control Proceedings of the First International Conference on Quenching and Control of Distortion Chicago, Illinois 193 198 1992
- Thakkar , R. , Shah , R. , and Vanark , V. Effects of Hole Making Processes and Surface Conditioning on Fatigue Behavior of 6061-T6 Aluminum SAE Technical Paper 2000-01-0783 2000 10.4271/2000-01-0783
- Prantil V. C. et al. Simulating Distortion and Residual Stresses in Carburized Thin Strips J. Eng. Mat. Tech. 125 116 124 2003
- Prime M. Residual Stress Measurement by Successive Extension of a Slot: a Literature Review Los Alamos Nat'l Lab Report # LA-13283-MS 1997
- Tjhung T. , Li K. Measurement of In-plane Residual Stresses Varying with Depth by the Interferometric Strain/slope Rosette and Incremental Hole-drilling J. Eng. Mat. Tech. 125 153 162 2003
- Kandil F.A. , Lord J. D. , Fry A. T. , Grant P.V. A Review of Residual Stress Measurement Methods, Measurement of Residual Stress in Components NPL Report UK 2002
- Flower E. C. , MacEwen S. R. , Holden T. M. FEA Predictions of Residual Stress in Stainless Steel Compared to Neutron and X-ray Diffraction Measurements International Conference on Advances in Numerical Methods in Engineering: Theory and Application Swansea UK 1987
- Wang Q , Chang C C , Paluch D Modeling of Residual Stresses in Quenched Cast Aluminum Components[J] SAE International Journal of Materials & Manufacturing 2011 4 1 844 852
- Hossain S , Daymond M R , Truman C E et al. Prediction and measurement of residual stresses in quenched stainless-steel spheres[J] Materials Science and Engineering: A 2004 373 1 339 349
- Koc M , Culp J , Altan T Prediction of residual stresses in quenched aluminum blocks and their reduction through cold working processes[J] Journal of materials processing technology 2006 174 1 342 354
- Wang , Q. and Wang , Y. Virtual Manufacturability Analyzer for Casting Components SAE Int. J. Mater. Manuf. 4 1 771 779 2011 10.4271/2011-01-0528
- Dhas J E R , Kumanan S Weld residual stress prediction using artificial neural network and Fuzzy logic modeling [J] Indian Journal of Engineering & Materials Sciences 2011 18 5 351 360
- http://en.wikipedia.org/wiki/NX_(Unigraphics)
- http://en.wikipedia.org/wiki/HyperMesh
- Mazurowski M A , Habas P A , Zurada J M et al. Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance [J] Neural networks 2008 21 2 427 436
- Xu Z , Xu G Discrete schemes for Gaussian curvature and their convergence [J] Computers & Mathematics with Applications 2009 57 7 1187 1195
- Rusinkiewicz S Estimating curvatures and their derivatives on triangle meshes[C]//3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004 Proceedings. 2nd International Symposium on. IEEE 2004 486 493
- http://en.wikipedia.org/wiki/Dihedral_angle
- Cybenko , G Continuous valued neural networks with two hidden layers are sufficient Department of Computer Science, Tufts University Medford MA
- http://rapid-i.com/content/view/181/
- Karpinski M , Macintyre A Polynomial bounds for VC dimension of sigmoidal neural networks [C] Proceedings of the twenty-seventh annual ACM symposium on Theory of computing ACM 1995 200 208
- Hu M Y , Zhang G P , Jiang C X et al. A Cross-Validation Analysis of Neural Network Out-of-Sample Performance in Exchange Rate Forecasting [J] Decision Sciences 1999 30 1 197 216