On optimization of laser surface melting technology for 1Cr18Ni9Ti steel upon artificial neural network-genetic algorithm

Qingyue Pan; Renguo Song; Qizhi Zhang; Weidong Huang; Yaohe Zhou

On optimization of laser surface melting technology for 1Cr18Ni9Ti steel upon artificial neural network-genetic algorithm

Qingyue Pan, Renguo Song, Qizhi Zhang, Weidong Huang, Yaohe Zhou

School of Materials Sience and Engineering

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Laser surface remelting was conducted to improve the corrosion resistance of 1Cr18Ni9Ti austenitic stainless steel. Experimental relationship between laser treatment parameters and corrosion resistance was investigated. Particularly, an artificial neural network-genetic algorithm was introduced to optimize the laser surface treatment technique. The results indicate that artificial neural network combined with genetic algorithm offers a new effective means for technology optimization of materials processing.

Original language	English
Pages (from-to)	251-256
Number of pages	6
Journal	Cailiao Yanjiu Xuebao/Chinese Journal of Materials Research
Volume	12
Issue number	3
State	Published - 1998

Cite this

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title = "On optimization of laser surface melting technology for 1Cr18Ni9Ti steel upon artificial neural network-genetic algorithm",

abstract = "Laser surface remelting was conducted to improve the corrosion resistance of 1Cr18Ni9Ti austenitic stainless steel. Experimental relationship between laser treatment parameters and corrosion resistance was investigated. Particularly, an artificial neural network-genetic algorithm was introduced to optimize the laser surface treatment technique. The results indicate that artificial neural network combined with genetic algorithm offers a new effective means for technology optimization of materials processing.",

author = "Qingyue Pan and Renguo Song and Qizhi Zhang and Weidong Huang and Yaohe Zhou",

year = "1998",

language = "英语",

volume = "12",

pages = "251--256",

journal = "Cailiao Yanjiu Xuebao/Chinese Journal of Materials Research",

issn = "1005-3093",

publisher = "Chinese Journal of Materials Research",

number = "3",

}

TY - JOUR

T1 - On optimization of laser surface melting technology for 1Cr18Ni9Ti steel upon artificial neural network-genetic algorithm

AU - Pan, Qingyue

AU - Song, Renguo

AU - Zhang, Qizhi

AU - Huang, Weidong

AU - Zhou, Yaohe

PY - 1998

Y1 - 1998

N2 - Laser surface remelting was conducted to improve the corrosion resistance of 1Cr18Ni9Ti austenitic stainless steel. Experimental relationship between laser treatment parameters and corrosion resistance was investigated. Particularly, an artificial neural network-genetic algorithm was introduced to optimize the laser surface treatment technique. The results indicate that artificial neural network combined with genetic algorithm offers a new effective means for technology optimization of materials processing.

AB - Laser surface remelting was conducted to improve the corrosion resistance of 1Cr18Ni9Ti austenitic stainless steel. Experimental relationship between laser treatment parameters and corrosion resistance was investigated. Particularly, an artificial neural network-genetic algorithm was introduced to optimize the laser surface treatment technique. The results indicate that artificial neural network combined with genetic algorithm offers a new effective means for technology optimization of materials processing.

UR - http://www.scopus.com/inward/record.url?scp=0032217783&partnerID=8YFLogxK

M3 - 文章

AN - SCOPUS:0032217783

SN - 1005-3093

VL - 12

SP - 251

EP - 256

JO - Cailiao Yanjiu Xuebao/Chinese Journal of Materials Research

JF - Cailiao Yanjiu Xuebao/Chinese Journal of Materials Research

IS - 3

ER -

On optimization of laser surface melting technology for 1Cr18Ni9Ti steel upon artificial neural network-genetic algorithm

Abstract

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