Application of response surface methodology and genetic algorithm in the prediction and optimization of the ductile properties of mild steel weld-Reference-Cited by-同舟云学术

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Application of response surface methodology and genetic algorithm in the prediction and optimization of the ductile properties of mild steel weld

Published:2023-12-27 Issue:2 Volume:38 Page:140-152
ISSN:0950-7116
Container-title:Welding International
language:en
Short-container-title:Welding International

Author:

Sada Samuel Oro-oghene¹,Eyenubo Jonathan O.²,Atikpo Eguakhide³,Amagre Monday Esiri¹

Affiliation:

1. Department of Mechanical & Production Engineering, Faculty of Engineering, Oleh Campus, Delta State University, Oleh, Nigeria

2. Department of Electrical & Electronics Engineering, Faculty of Engineering, Oleh Campus, Delta State University, Oleh, Nigeria

3. Department of Civil & Environmental Engineering, Delta State University, Oleh Campus, Abraka, Delta State, Nigeria

Publisher

Informa UK Limited

Subject

Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Link

https://www.tandfonline.com/doi/pdf/10.1080/09507116.2023.2296111

Reference41 articles.

1. Allison A Scudamore R. Strategic research agenda: joining: joining sub-platform. SRA; 2014. www.joining-platform.com.

2. Joining Technologies for Future Automobile Multi-material Modules

3. In-situ investigation on dislocation slip concentrated fracture mechanism of linear friction welded dissimilar Ti17(α+β)/Ti17(β) titanium alloy joint

4. Multi-scale analyses of phase transformation mechanisms and hardness in linear friction welded Ti17(α + β)/Ti17(β) dissimilar titanium alloy joint

5. Manual Metal Arc Welding and Gas Metal Arc Welding

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