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Prediction of Spring-back in Warm and Hot Forming of High Strength Steels by Back Propagation Neural Network Model

Chalermpol Klaynil (Rajamangala University Of Technology Rattanakosin, 2018)

This research aimed to study the spring-back behavior in warm and hot bending process. From the studied parameters, such as punch radius, the materials are JIS G3135: SPFC440, SPFC590 and SPFC780 high strength ...