International Journal of Engineering Research

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Artificial Neural Network Model for Friction Stir Processing


Affiliations
1 T.K.M. College of Engineering, Kollam, India
 

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.
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  • Artificial Neural Network Model for Friction Stir Processing

Abstract Views: 127  |  PDF Views: 0

Authors

Syed Muhammed Fahd
T.K.M. College of Engineering, Kollam, India

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.