Predictive Modeling of Droplet Efficiency in MIG Welding of Mild Steel Using Artificial Neural Networks: Experimental Validation and Process Optimization

Predictive Modeling of Droplet Efficiency in MIG Welding of Mild Steel Using Artificial Neural Networks: Experimental Validation and Process Optimization

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Publication Details

Journal
American Journal of Mechanical and Materials Engineering
Published
2025-09-26
DOI
https://doi.org/10.11648/j.ajmme.20250903.11
Primary Topic
Welding Techniques and Residual Stresses
Type
article
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article

Predictive Modeling of Droplet Efficiency in MIG Welding of Mild Steel Using Artificial Neural Networks: Experimental Validation and Process Optimization

Joseph Achebo, Victor Ijoni
American Journal of Mechanical and Materials Engineering
Welding Techniques and Residual Stresses
article

Predictive Modeling of Droplet Efficiency in MIG Welding of Mild Steel Using Artificial Neural Networks: Experimental Validation and Process Optimization

Joseph Achebo, Victor Ijoni
article en

Abstract

Predictive Modeling of Droplet Efficiency in MIG Welding of Mild Steel Using Artificial Neural Networks: Experimental Validation and Process Optimization

American Journal of Mechanical and Materials EngineeringVol. 9(3)
University of Benin (NG)
Openalex Percentile: Top 73%
Welding Techniques and Residual Stresses
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Predictive Modeling of Droplet Efficiency in MIG Welding of Mild Steel Using Artificial Neural Networks: Experimental Validation and Process Optimization — Joseph Achebo, Victor Ijoni · American Journal of Mechanical and Materials Engineering (2025) | TGRS Research Map | TGRS