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View the PDF document Finite element simulation of sheet metal forming processes
Author : Ahmed , Mohd;Sekhon, G.S.;Singh, Devender
Source : Defence Science Journal ; Vol:55(4) ; 2005 ; pp 389-401
Subject : 53 Applied Physics
Keywords : Sheet metal forming;Geometric nonlinearity;Material nonlinearity;Shell elements;Continuum elements;Adaptive mesh refinement;Recovery procedures;Finite element analysis;Simulation
Abstract : In the present study, the survey of research work on finite element analysis of metal forming processes has been carried out. A classification of formulations dealing with geometry and material nonlinearity in the context of finite element simulation of forming operations has been recapitulated. The procedures based upon shell and continuum approaches and methods of dealing with frictional contact, are described. Topics of current interest on finite element analysis such as error estimation, projection of error, and adaptive mesh refinement have been reviewed.
View the PDF document Application of neural network in sheet metal bending process
Author : Pathak, K. K.;Panthi, Sanjay;Ramakrishnan , N.
Source : Defence Science Journal ; Vol:55(2) ; 2005 ; pp 125-131
Subject : 669 Metallurgy
Keywords : Springback;Finite element;Residual stress;Plastic strain;Neural network;Sheet metal forming
Abstract : The sheet metal bending is an important form of sheet metal forming process, widely used in various industrial applications like aircraft, automobiles, household items, power industries, etc. This study predicts the responses of the sheet metal bending process using artificial neural network. Based on 44 cases analysed using finite element method, a neural network was trained. Sheet thickness and die radius were the input, and stresses, strains, springback, loads, etc were the output for the neural network. The trained neural network was tested for five new patterns. It was found that most of the results were quite close to the simulation results. Such a technique of response prediction helps in reducing the computational time.