International Journal of Engineering Research
  • Year: 2014
  • Volume: 3
  • Issue: 6

Artificial Neural Network Model for Friction Stir Processing

  • Author:
  • Syed Muhammed Fahd
  • Total Page Count: 2
  • Page Number: 396 to 397

T.K.M. College of Engineering, Kollam. muhammed.fahd@gmail.com

Online published on 8 November, 2017.

Abstract

Friction stir processing (FSP) is an effective means of refining grain size of aluminum alloys. An artificial neural network model (ANN) is made for predicting the grain size of alloys which are processed by FSP. The simulated results from the model show how grain size varies with the process parameters.

Keywords

Friction stir processing, ANN, grain size, grain refinement