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Simulation of Direct Extrusion Process and Optimal Design of Technological Parameters Using FEM and Artificial Neural Network
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Simulation of Direct Extrusion Process and Optimal Design of Technological Parameters Using FEM and Artificial Neural Network

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Abstract:

This study aims the modeling and simulation of the direct extrusion process and determination of optimal process parameters using Finite Element Method (FEM) and Artificial Neural Network (ANN) cooperatively. First, the die set has been designed for direct extrusion of an aluminum rod and its numerical simulation has been prepared by mean of ABAQUS/EXPLITIC finite element code. So, both the values of the process parameters according to extrusion load and the critical stress values have been determined. After, the ANN model of the process has been developed under MATLAB and has been trained with the results of finite element simulations. Also, the optimization software which can run together the ANN model has been developed and has been used to determine the optimum process parameters.

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Periodical:

Key Engineering Materials (Volume 367)

Pages:

185-192

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.367.185

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Online since:

February 2008

Authors:

Durmus Karayel

Keywords:

Artificial Neural Network (ANN), Extrusion, Finite Element (FE) Simulation, Intelligence Die Design, Optimization

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© 2008 Trans Tech Publications Ltd. All Rights Reserved

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