Open AccessExperimental Prediction of Spring back in U Bending Profile Process Modeling using Artificial Neural Network
Author(s) -
S. Saravanan,
M. Saravanan,
D. Jeyasimman,
S. Srividhya,
M. Vairavel
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.d1819.039520
Subject(s) - artificial neural network , flexibility (engineering) , bending , spring (device) , process (computing) , computer science , artificial intelligence , adaptation (eye) , structural engineering , engineering , mechanical engineering , mathematics , statistics , physics , optics , operating system
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.