A Bayesian regularization-backpropagation neural network model for peeling computations

The Journal of Adhesion, vol. 99, pp. 92–115

Abstract

A Bayesian regularization-backpropagation neural network (BR-BPNN) model is employed to predict some aspects of the gecko spatula peeling, viz. the variation of the maximum normal and tangential pull-off forces and the resultant force angle at detachment with the peeling angle. K-fold cross validation is used to improve the effectiveness of the model. The input data is taken from finite element (FE) peeling results. The neural network is trained with 75% of the FE dataset. The remaining 25% are utilized to predict the peeling behavior. The training performance is evaluated for every change in the number of hidden layer neurons to determine the optimal network structure. The relative error is calculated to draw a clear comparison between predicted and FE results. It is shown that the BR-BPNN model in conjunction with the k-fold technique has significant potential to estimate the peeling behavior.

Authors 4

1. Saipraneeth Gouravaraju

   Indian Institute of Technology Guwahati

   Affiliation as printed

   Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, India

   Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, India;

2. Jyotindra Narayan

   Indian Institute of Technology Guwahati

   Affiliation as printed

   Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, India

   Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, India;

3. Roger A. Sauer Aachen Aachen Institute for Advanced Study in Computational Engineering Science (AICES)

   Indian Institute of Technology Guwahati · Gdańsk University of Technology · Aachen Institute for Advanced Study in Computational Engineering Science · RWTH Aachen University · Indian Institute of Technology Kanpur

   Affiliation as printed

   Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University, Aachen, Germany

   Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, India

   Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, India

   Faculty of Civil and Environmental Engineering, Gdańsk University of Technology, Poland

4. Sachin Singh Gautam corresponding

   Indian Institute of Technology Guwahati

   Affiliation as printed

   Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, India

   Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, India;