Practical application of artificial neural networks in designing parameters of steel heat treatment processes

Authors:
Emilia Wołowiec;Piotr Kula
Affiliations:
Institute of Materials Science and Engineering, Technical University of Lodz, Lodz, Poland;Institute of Materials Science and Engineering, Technical University of Lodz, Lodz, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Year:
2012

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Abstract

The article is dedicated to the possibilities of practical application of artificial neural networks in designing parameters of steel vacuum carburization processes and preparing for cooling in high-pressure gas. In the following sections, the nature of vacuum carburization technology, the course of research on the precipitation phenomena, the construction of an artificial neural network and the algorithm of searching process parameters have been presented.