Experimental Prediction of Spring back in U Bending Profile Process Modeling using Artificial Neural Network

Abstract

An ANN or Artificial Neural Network is prototypical that is employed to connect the variety of parameter space. The air bend contains curve force and spring-back. These are predicted through the numerical and semi-logical model. A number of researchers examine these models. A collection of information is fitted by Artificial Neural Network which has high flexibility, the capacity to delineate non-straight connections and parallel usage, collaborations of process parameters, Vigor and the adaptation to non-critical failure are the main characteristics of ANN. Due to these characteristics, and the device of ANN successfully monitors the problems. The significant quality of ANN is that the "U" shaped profile of bending among the information that is involved in the associations of parameters and mind-boggling and the sheet metals bend researchers.

Impact of Blank Holding Force and Friction on Springback and Its Prediction of a Hat-Shaped Part Made of Dual-Phase Steel

“…The lowest springback was measured when A-type springs were used in combination with PE foil, which helped to reduce friction. Results regarding the impact of blank holding force and friction comply with the works of Saravanan et al [ 46 ] and Damtew [ 47 ].…”