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July 31, 2026Emerging Materials Research

Intelligent modeling and optimization of activated gas tungsten arc welding process

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Authors

MMMasoud Azadi MoghaddamMFMahdi Mazloom FarsibafFKFarhad Kolahan

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Overview

Randomized trial optimizes welding quality in AISI316L stainless steel, suggesting industrial applications.

Key Points

  • The study aims to model and optimize the activated gas tungsten arc welding process for improved weld quality.
  • Data generated through response surface methodology.
  • Modeling performed using backpropagation neural network (BPNN).
  • Optimization of BPNN model achieved with particle swarm optimization and simulated annealing.
  • Nano-based A-GTAW achieved 93% improvement in depth of penetration (DOP).
  • Ultimate tensile strength (UTS) improved by 61% with a 50% reduction in heat-affected zone (HAZ) width.
  • Optimal flux coating identified as 1.8 mg/cm2 with a mixture of 75% SiO2 and 25% TiO2.

Cite This Study

Moghaddam et al. (2026) studied this question.

synapsesocial.com/papers/6a6c476f747664a1aa73cc0chttps://doi.org/10.1680/jemmr.25.00136
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