Optimizing MAG Welding Input Variables to Maximize Penetration Depth Using Particle Swarm Optimization Algorithm-Reference-Cited by-同舟云学术

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Optimizing MAG Welding Input Variables to Maximize Penetration Depth Using Particle Swarm Optimization Algorithm

Published:2022-01-25 Issue: Volume: Page:
ISSN:
Container-title:ICCEIS 2021
language:
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Author:

Mezaache Mohamed^ORCID,Benaouda Omar Fethi,Chaouch Saad,Babes Badreddine^ORCID,Amraoui Rachid

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/14/1/5/pdf

Reference19 articles.

1. Optimization of parameters of submerged arc weld using non conventional techniques

2. Optimization of welding parameters using a genetic algorithm: A robotic arm–assisted implementation for recovery of Pelton turbine blades

3. Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems

4. Modification of particle swarm optimization with human simulated property

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Maximizing welding efficiency: applying an improved whale optimization algorithm for parametric optimization of bead width in a submerged arc welding process;The International Journal of Advanced Manufacturing Technology;2024-08-26

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