SPRINGBACK ANALYSIS OF STRECH FORMING PROCESS USING NEURAL NETWORK
Keywords:
Stretch Forming, Springback, Finite Element, Neural NetworkAbstract
In this study, artificial neural network has been employed to analyse springback in stretch forming process. The process variables are stretch and punch displacement. Maximum equivalent strain criteria is adopted to obtain critical punch movement. Data has been generated using finite element simulation considering 16 cases. Successfully trained network has been validated with the newer problems.
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