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Mechanisms for effective mechanical properties design of steel welds.

Authors :
Alhabeeb, Sakeena A.
Abdulzahra, Omar
Aljibori, Hakim S. Sultan
Hadi, Hadeel S.
Hussain, Wail A. M.
Al-Amiery, Ahmed A.
Al-Jadir, Thaer
Taha, Mohammed M.
Kadhum, Abdul Amir
Source :
AIP Conference Proceedings; 2023, Vol. 2820 Issue 1, p1-8, 8p
Publication Year :
2023

Abstract

Welding is a key technology in the manufacture of engineering components. Welding is required in a variety of industries, including the automotive, construction, and aviation industries, among others. So many things would not exist without this type of metalwork, including numerous structures, gates, fences, minor kitchen appliances, cars, and even space exploration. The motivation behind this work was to empower a huge extent of the advanced technique to be finished by calculation. A ferrite steel weld ordinarily may contain in excess of fifteen significant solute increments. Its properties additionally rely upon the welding conditions and post-weld heat treatment. Consequently, it is a considerable assignment to endeavor to anticipate the yield and extreme rigidities, stretching, and Charpy sturdiness, which are all rudimentary plan boundaries. A gigantic dataset was ordered utilizing definite information from the distributed writing and enterprises to different neural organization examinations just as Genetic Algorithms. The Neural network is an exceptionally adaptable and incredible experimental technique, yet it is shown that with care, the organization can be prepared to perceive solid metallurgical connections. The subsequent models have been approved in an assortment of ways with accentuation on information already inconspicuous by the models. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2820
Issue :
1
Database :
Complementary Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
164549222
Full Text :
https://doi.org/10.1063/5.0150781