The prediction of springback in sheet metal is vital to ensure economical metal forming. The
latest nonlinear recovery in finite element analysis is used to achieve accurate results, but …

All the forming processes are more or less prone to the springback depending upon different
material properties and process parameters. Bending processes are very widely used in the …

Sheet metal forming is one of the most important manufacturing processes applied in many
industrial sectors, with the most prevalent being the automotive and aerospace industries …

Sheet metal bending is one of the most frequently used sheet metal forming processes in
manufacturing industry. This study investigates bending parameters and springback …

To achieve accurate results, current nonlinear elastic recovery applications of finite element
(FE) analysis have become more complicated for sheet metal springback prediction. In this …

The use of the latest nonlinear recovery in finite element (FE) analysis for obtaining an
accurate springback prediction has become more complicated and requires complex …

Sažetak The aim of this paper is to develop an Artificial Neural Network (ANN) model for
springback prediction in the free cylindrical bending of metallic sheets. The proposed ANN …

This paper presents the results of predictions of springback of cold-rolled anisotropic steel
sheets using an approach based on a multilayer perceptron-based artificial neural network …

Springback, the geometric difference between the loaded and unloaded configurations, is
affected by many factors, such as material properties, sheet thickness, lubrication conditions …

We develop an efficiently improved knowledge-based neural network (KBNN) associated
with optimization algorithms and finite element analysis (FEA) to accurately predict spring …