Early Shear Failure Prediction in Incremental Sheet Forming Process Using FEM and ANN

• Main Authors: Moayedfar, M., Hanaei, H., Rani, A.M., Bin Musa, M.A., Momeni, M.S.
• Format: Article
• Published: Institute of Physics Publishing 2018
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044545723&doi=10.1088%2f1757-899X%2f328%2f1%2f012031&partnerID=40&md5=43ffdad8d0b41c096d6773652b5f40ec; http://eprints.utp.edu.my/21701/

The application of incremental sheet forming process as a rapid forming technique is rising in variety of industries such as aerospace, automotive and biomechanical purposes. However, the sheet failure is a big challenge in this process which leads wasting lots of materials. Hence, this study tried to propose a method to predict the early sheet failure in this process using mathematical solution. For the feasibility of the study, design of experiment with the respond surface method is employed to extract a set of experiments data for the simulation. The significant forming parameters were recognized and their integration was used for prediction system. Then, the results were inserted to the artificial neural network as input parameters to predict a vast range of applicable parameters avoiding sheet failure in ISF. The value of accuracy R2 �0.93 was obtained and the maximum sheet stretch in the depth of 25mm were recorded. The figures generate from the trend of interaction between effective parameters were provided for future studies. © Published under licence by IOP Publishing Ltd.