Optimisation of the bending process of high strength low alloy sheet mtetal
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[1] Ridha Hambli,et al. Comparison between Lemaitre and Gurson damage models in crack growth simulation during blanking process , 2001 .
[2] V. G. Wong,et al. Analysis of Stresses in Bar Cropping , 1975 .
[3] Cv Clemens Verhoosel,et al. Non-Linear Finite Element Analysis of Solids and Structures , 1991 .
[4] Petros Koumoutsakos,et al. Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) , 2003, Evolutionary Computation.
[5] M.S.J. Hashmi,et al. Optimizing the laser-welded butt joints of medium carbon steel using RSM , 2005 .
[6] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[7] Abdessamad Kobi,et al. Application of design of experiment technique for metal blanking processes optimization , 2003 .
[8] R. Bahloul,et al. Experimental characterisation in sheet forming processes by using Vickers micro-hardness technique , 2006 .
[9] Jerome Sacks,et al. Computer Experiments for Quality Control by Parameter Design , 1990 .
[10] Young-Hae Lee,et al. An approach for multiple criteria simulation optimization with application to turning operation , 1996 .
[11] Zafer Tekiner,et al. An experimental study on the examination of springback of sheet metals with several thicknesses and properties in bending dies , 2004 .
[12] Taylan Altan,et al. Mathematical modeling of plane-strain bending of sheet and plate , 1993 .
[13] P. Villon,et al. Using the Diffuse Approximation for Optimizing the Location of Anti-Sound Sources , 1994 .
[14] H. Gomes,et al. COMPARISON OF RESPONSE SURFACE AND NEURAL NETWORK WITH OTHER METHODS FOR STRUCTURAL RELIABILITY ANALYSIS , 2004 .
[15] Timothy M. Mauery,et al. COMPARISON OF RESPONSE SURFACE AND KRIGING MODELS FOR MULTIDISCIPLINARY DESIGN OPTIMIZATION , 1998 .
[16] Ridha Hambli,et al. Application of a neural network for optimum clearance prediction in sheet metal blanking processes , 2003 .
[17] Cristina H. Amon,et al. An engineering design methodology with multistage Bayesian surrogates and optimal sampling , 1996 .
[18] Shih-Chieh Lin,et al. Using neural networks to predict bending angle of sheet metal formed by laser , 2000 .
[19] Ken R. McNaught,et al. A comparison of experimental designs in the development of a neural network simulation metamodel , 2004, Simul. Model. Pract. Theory.
[20] J. Lemaitre,et al. Mécanique des matériaux solides , 1996 .
[21] Taylan Altan,et al. Prediction and elimination of springback in straight flanging using computer aided design methods: Part 1. Experimental investigations , 2001 .
[22] W. L. Xu,et al. Sensitive factors in springback simulation for sheet metal forming , 2004 .
[23] Philip J. Withers,et al. Prediction of damage evolution in forged aluminium metal matrix composites using a neural network approach , 1998 .
[24] R. Bahloul,et al. Influence de la forme des attaches de sécurité sur leur comportement en service , 2006 .
[26] H. Huh,et al. Design sensitivity analysis of sheet metal forming processes with a direct differentiation method , 2002 .
[27] Branko Grizelj,et al. Finite element approach in the plate bending process , 2002 .
[28] Raymond L. Watrous. Learning Algorithms for Connectionist Networks: Applied Gradient Methods of Nonlinear Optimization , 1988 .
[29] Prashant P. Date,et al. Numerical simulation of the influence of air bending tool geometry on product quality , 2004 .
[30] David J. C. MacKay,et al. Information-Based Objective Functions for Active Data Selection , 1992, Neural Computation.
[31] Steven G. Gilmour,et al. A Bayesian design criterion for locating the optimum point on a response surface , 2003 .
[32] A. Delamézière,et al. Faisabilité en emboutissage : optimisation du matériau par surface de réponse , 2002 .
[33] Dong-Jo Park,et al. Novel fast training algorithm for multilayer feedforward neural network , 1992 .
[34] Ming Yang,et al. Development of real-time process control system for precision and flexible V-bending with an on-line database , 1996 .
[35] Akira Todoroki,et al. Design of experiments for stacking sequence optimizations with genetic algorithm using response surface approximation , 2004 .
[36] Eiji Nakamachi,et al. Development of optimum process design system for sheet fabrication using response surface method , 2003 .
[37] Sang-Moon Hwang,et al. Finite element analysis and design in stainless steel sheet forming and its experimental comparison , 2001 .
[38] Muhammad N. S Hadi. Neural networks applications in concrete structures , 2003 .
[39] Taylan Altan,et al. Prediction and elimination of springback in straight flanging using computer-aided design methods: Part 2: FEM predictions and tool design , 2001 .
[40] Jan Kusiak,et al. Modelling of microstructure and mechanical properties of steel using the artificial neural network , 2002 .
[41] Maurice Pillet,et al. Les plans d'expériences par la méthode Taguchi , 2001 .
[42] Tomas Jansson,et al. Using the response surface methodology and the D-optimality criterion in crashworthiness related problems , 2002 .
[43] Taylan Altan,et al. Computer aided die design of straight flanging using approximate numerical analysis , 2003 .
[44] J. Chung,et al. Application of a genetic algorithm to process optimal design in non-isothermal metal forming , 1998 .
[45] Sibylle D. Müller. Bio-inspired optimization algorithms for engineering applications , 2002 .
[46] Raphael T. Haftka,et al. Response surface approximations for structural optimization , 1996 .
[47] Jean-Louis Chaboche,et al. Continuous damage mechanics — A tool to describe phenomena before crack initiation☆ , 1981 .
[48] P. Villon,et al. Moving least squares response surface approximation: Formulation and metal forming applications , 2005 .
[49] G. Marron,et al. Le pliage des aciers HLE. Prévision et maîtrise du retour élastique , 1995 .
[50] R. Gunst. Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .
[51] Prashant P. Date,et al. On the effects of geometric parameters on springback in sheets of five materials subjected to air vee bending , 2002 .