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<p>This current work focuses on modeling and improving essential process parameters of Submerged Arc Welding (SAW) on IS-2062 steel utilizing the Taguchi method to improve weld quality and efficiency. This approach's primary advantage is in its methodical and cost-efficient process, which reduces trial-and-error trials, enhances the mechanical properties of the weld, and boosts production. The study is confined to IS-2062 steel and specific process parameters within controlled experimental conditions, which may vary in wider industry contexts. Notwithstanding these constraints, the results possess significant practical applicability in domains such as construction, shipbuilding, pipelines, and heavy machinery, where optimal welding parameters can minimize material waste, enhance weld dependability, and decrease total production expenses. To improve the efficiency and quality of the Submerged Arc Welding process, this research investigates parametric optimization of process parameters using the Taguchi technique. To improve weld bead quality and minimize flaws like porosity, undercut, and excessive spatter, the Taguchi approach is used to optimize critical process parameters of SAW, including welding current, voltage, travel speed, and wire feed rate. The study's overarching goal is to maximize the targeted weld properties while reducing undesired variances and flaws by determining their most important factors and ideal values. Identifying which process parameters are most important to optimize is the first phase of the investigation. Welding current, voltage, travel speed, and wire feed rate are the characteristics that are considered for optimization based on thorough literature research and preliminary experiments. Weld quality, mechanical characteristics, and weld bead shape are all known to be significantly affected by these factors. The most promising use of SAW is in the thermo-mechanical processing of various alloys, especially structural steel. This study investigates the SAW process in IS-2062 STEEL at length. A variety of voltage, current, trolley speed, and nozzle-to-plate distance combinations have been investigated for submerged arc-welded IS-2062 bead geometry and tensile strength. One of the main reasons why this study was successful is that it used a new technique to correlate the mechanical characteristics of beads with their geometry, as well as with process factors. Using the Taguchi orthogonal array and the central composite rotatable design as foundations, mathematical models were constructed using a four-factor matrix with five layers.</p>

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Modeling and Parametric Optimization with the Taguchi Approach for Enhancing the Efficiency and Quality of Submerged Arc Welding on IS-2062 Steel

  • 期刊论文

  • 发表日期：

    2026年4月9日

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  • Krishan Kant Sharma,
  • Ajay Vasishth,
  • Mohit Yadav,
  • Ajay Kumar

摘要

This current work focuses on modeling and improving essential process parameters of Submerged Arc Welding (SAW) on IS-2062 steel utilizing the Taguchi method to improve weld quality and efficiency. This approach's primary advantage is in its methodical and cost-efficient process, which reduces trial-and-error trials, enhances the mechanical properties of the weld, and boosts production. The study is confined to IS-2062 steel and specific process parameters within controlled experimental conditions, which may vary in wider industry contexts. Notwithstanding these constraints, the results possess significant practical applicability in domains such as construction, shipbuilding, pipelines, and heavy machinery, where optimal welding parameters can minimize material waste, enhance weld dependability, and decrease total production expenses. To improve the efficiency and quality of the Submerged Arc Welding process, this research investigates parametric optimization of process parameters using the Taguchi technique. To improve weld bead quality and minimize flaws like porosity, undercut, and excessive spatter, the Taguchi approach is used to optimize critical process parameters of SAW, including welding current, voltage, travel speed, and wire feed rate. The study's overarching goal is to maximize the targeted weld properties while reducing undesired variances and flaws by determining their most important factors and ideal values. Identifying which process parameters are most important to optimize is the first phase of the investigation. Welding current, voltage, travel speed, and wire feed rate are the characteristics that are considered for optimization based on thorough literature research and preliminary experiments. Weld quality, mechanical characteristics, and weld bead shape are all known to be significantly affected by these factors. The most promising use of SAW is in the thermo-mechanical processing of various alloys, especially structural steel. This study investigates the SAW process in IS-2062 STEEL at length. A variety of voltage, current, trolley speed, and nozzle-to-plate distance combinations have been investigated for submerged arc-welded IS-2062 bead geometry and tensile strength. One of the main reasons why this study was successful is that it used a new technique to correlate the mechanical characteristics of beads with their geometry, as well as with process factors. Using the Taguchi orthogonal array and the central composite rotatable design as foundations, mathematical models were constructed using a four-factor matrix with five layers.