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

  • Authors:

  • R. Narayanasamy;P. Padmanabhan

  • Affiliations:

  • Department of Production Engineering, National Institute of Technology, Tiruchirappalli, India 620015;Department of Mechanical Engineering, R.V.S. College of Engineering and Technology, Dindigul, India 624005

  • Venue:
  • Journal of Intelligent Manufacturing
  • Year:
  • 2012

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Abstract

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.