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<p>Present study addresses this gap by employing the Taguchi method to systematically optimize drilling parameters for Al 7075 in a dry environment. The experimental design uniquely evaluates three distinct drill types—uncoated HSS, TiN-coated, and TiAlN-coated—alongside cutting speed, feed rate, and drilling depth using an L27 orthogonal array. The ”larger-is-better” and ”smaller-is-better” signal-to-noise ratios were applied to maximize the Material Removal Rate (MRR) and minimize surface roughness, respectively. Analysis of Variance (ANOVA) revealed that cutting speed is the most dominant factor for MRR (82.78% contribution), while drill coating is the paramount factor controlling surface roughness (92.30% contribution). The key contribution of this work is the clear identification of optimal, conflicting parameter sets: maximum MRR was achieved with a TiAlN-coated drill at high speed and feed, whereas the best surface finish was obtained with a TiN-coated drill at high speed and low feed. This study provides a definitive ranking of parameter significance and a practical framework for selecting drilling conditions based on whether productivity or surface integrity is the primary industrial objective, offering a valuable guide for sustainable, dry machining of high-strength aluminum alloys. </p>

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Optimization of Drilling Parameters for Aluminium 7075 Using Taguchi Method

  • 期刊论文

  • 发表日期：

    2026年4月9日

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  • Amman Jakhar,
  • Sachin Kalsi,
  • Aman Kumar

摘要

Present study addresses this gap by employing the Taguchi method to systematically optimize drilling parameters for Al 7075 in a dry environment. The experimental design uniquely evaluates three distinct drill types—uncoated HSS, TiN-coated, and TiAlN-coated—alongside cutting speed, feed rate, and drilling depth using an L27 orthogonal array. The ”larger-is-better” and ”smaller-is-better” signal-to-noise ratios were applied to maximize the Material Removal Rate (MRR) and minimize surface roughness, respectively. Analysis of Variance (ANOVA) revealed that cutting speed is the most dominant factor for MRR (82.78% contribution), while drill coating is the paramount factor controlling surface roughness (92.30% contribution). The key contribution of this work is the clear identification of optimal, conflicting parameter sets: maximum MRR was achieved with a TiAlN-coated drill at high speed and feed, whereas the best surface finish was obtained with a TiN-coated drill at high speed and low feed. This study provides a definitive ranking of parameter significance and a practical framework for selecting drilling conditions based on whether productivity or surface integrity is the primary industrial objective, offering a valuable guide for sustainable, dry machining of high-strength aluminum alloys.