Artificial Neural Networks for Hardness Prediction of HAZ with Chemical Composition and Tensile Test of X70 Pipeline Steels

Hesam POURALIAKBAR,,Mohammad-javad KHALAJ,Mohsen NAZERFAKHARI,Gholamreza KHALAJ

Journal of Iron and Steel Research International ›› 2015, Vol. 22 ›› Issue (5) : 446-450.

PDF(354 KB)
Welcome to visit Journal of Iron and Steel Research International,
PDF(354 KB)
Journal of Iron and Steel Research International ›› 2015, Vol. 22 ›› Issue (5) : 446-450.
Material

Artificial Neural Networks for Hardness Prediction of HAZ with Chemical Composition and Tensile Test of X70 Pipeline Steels

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2015, 22(5): 446-450

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(354 KB)

Accesses

Citation

Detail
Sections
Recommended
Tel: 010-62182295　
E-mail：gtyjxb-e@163.com
Powered by Beijing Magtech Co. Ltd,.
×

Share

×

Share

Copyright © Journal of Iron and Steel Research International, All Rights Reserved.

/

〈 〉