Using genetic algorithm in heat treatment optimization of 17-4PH stainless steel

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2007 English Publisher:Elsevier BVJournal:Materials & Design, volume 28, pages 2,034-2,039 (issn: 0261-3069,

Copyright policy )

Authors: M. Zakeri; A. Bahrami; S.H. Mousavi Anijdan;

doi: 10.1016/j.matdes.2006.06.006

Using genetic algorithm in heat treatment optimization of 17-4PH stainless steel

- Summary
- Metrics

Abstract

In this investigation heat treatment optimization of 17-4PH stainless steel has been carried out by a genetic algorithm. The optimum technique of heat treatment, adaptive to 17-4PH stainless steel, was obtained from the initial data set by the use of genetic algorithms based on modeling with artificial neural network. The results strongly indicate that the presented model has the great ability for heat treatment optimization of 17-4PH stainless steel to yield the highest strength levels in different working temperatures.

Related Organizations

Islamic Azad University Saveh
Iran (Islamic Republic of)
Sharif University of Technology
Iran (Islamic Republic of)
Islamic Azad University, Tehran
Iran (Islamic Republic of)

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	20
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%