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<p>Arc welding remains a cornerstone joining process in diverse sectors, from heavy industry to household fabrication. In pursuit of improving weld strength with minimal experimentation, this study adopts the Taguchi L9 orthogonal array to evaluate the effects of four key parameters: welding current, electrode diameter, root gap, and edge preparation. The Taguchi method enabled efficient parameter screening and optimization through signal-to-noise ratio analysis, without requiring exhaustive full-factorial testing. Experimental trials were designed to identify optimal levels that yield high tensile strength in welded joints. The approach also incorporated confirmation tests to validate the predictive model’s reliability. The study emphasizes the practical value of Taguchi-based design of experiments (DOE) in simplifying the welding optimization process. The outcome serves as a foundation for future investigations involving multi-objective optimization, microstructural analysis, and non-destructive evaluation, which can further refine the understanding of weld quality and performance.</p>

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Optimization of arc welding joint of mild steel by Taguchi method

  • 期刊论文

  • 发表日期：

    2026年2月9日

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  • Satendra Singh

摘要

Arc welding remains a cornerstone joining process in diverse sectors, from heavy industry to household fabrication. In pursuit of improving weld strength with minimal experimentation, this study adopts the Taguchi L9 orthogonal array to evaluate the effects of four key parameters: welding current, electrode diameter, root gap, and edge preparation. The Taguchi method enabled efficient parameter screening and optimization through signal-to-noise ratio analysis, without requiring exhaustive full-factorial testing. Experimental trials were designed to identify optimal levels that yield high tensile strength in welded joints. The approach also incorporated confirmation tests to validate the predictive model’s reliability. The study emphasizes the practical value of Taguchi-based design of experiments (DOE) in simplifying the welding optimization process. The outcome serves as a foundation for future investigations involving multi-objective optimization, microstructural analysis, and non-destructive evaluation, which can further refine the understanding of weld quality and performance.