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.
Cite
CITATION STYLE
Saravanan*, S. … Vairavel, M. (2020). Experimental Prediction of Spring back in U Bending Profile Process Modeling using Artificial Neural Network. International Journal of Innovative Technology and Exploring Engineering, 9(5), 110–115. https://doi.org/10.35940/ijitee.d1819.039520
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.