Comparison of regression and artificial neural network model for the prediction of springback during air bending process of interstitial free steel sheet

This paper compares the regression and neural network modeling for predicting springback of interstial free steel sheet during air bending process. In this investigation, punch travel, strain hardening exponent, punch radius, punch velocity and width of the sheet were considered as input variables and springback as response variable. It has been observed that the ANN modeling process has been able to predict the springback with higher accuracy when compared with regression model.

[1]  Jian Cao,et al.  USING NEURAL NETWORK FOR SPRINGBACK MINIMIZATION IN A CHANNEL FORMING PROCESS , 1998 .

[2]  D. Harlow.  The effect of statistical variability in material properties on springback , 2004 .

[3]  Fuyuan Yang,et al.  Using Artificial Neural Networks to Investigate the Influence of Temperature on Hot Extrusion of AZ61 Magnesium Alloy , 2006, J. Intell. Manuf..

[4]  Shih-Chieh Lin,et al.  Using neural networks to predict bending angle of sheet metal formed by laser , 2000 .

[5]  Margaret J. Robertson,et al.  Design and Analysis of Experiments , 2006, Handbook of statistics.

[6]  Da-Yuan Chang,et al.  Selection of sheet metal bending machines by the PRISM-inductive learning method , 1996, J. Intell. Manuf..

[7]  Jian Cao,et al.  Experimental Implementation of Neural Network Springback Control for Sheet Metal Forming , 2003 .

[8]  Uday B. Desai,et al.  Studies on the prediction of springback in air vee bending of metallic sheets using an artificial neural network , 2000 .

[9]  Taylan Altan,et al.  Prediction of bend allowance and springback in air bending , 2007 .

[10]  J. David Porter,et al.  Artificial Neural Network Approach to Data Matrix Laser Direct Part Marking , 2006, J. Intell. Manuf..

[11]  P. Padmanabhan,et al.  Application of response surface methodology for predicting bend force during air bending process in interstitial free steel sheet , 2009 .

[12]  R. H. Wagoner,et al.  Measurement of springback , 2002 .

[13]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[14]  Zone-Ching Lin,et al.  Application of a neural network machine learning model in the selection system of sheet metal bending tooling , 1996, Artif. Intell. Eng..