Experimental Investigation and Optimization of Machining Parameters for Al6351 Alloy Using a Modified Taguchi Approach

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Year : 2026 | Volume : 14 | 02 | Page :
    By

    Suthapalli Satya Surya Sai Lokesh,

  • K. Sri Manikanta,

  • Boggarapu Nageswara Rao,

  • K. Prasanth Kumar Reddy,

  • V. Sai Akshara,

  • Muni Tanuja Anantha,

  1. Student, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, India
  2. Student, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, India
  3. Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, India
  4. Post Doctoral Fellow, Department of Mechanical Engineering, School of Engineering and Applied Sciences, SRM University AP, Amaravati, Andhra Pradesh, India
  5. Student, George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta- 30332, Georgia, USA
  6. Assistant Professor, Department of Mechanical Engineering, School of Engineering, ANURAG University, Ghatkesar, Hyderabad, Telangana, India

Abstract

Machining processes encompass both conventional and non-conventional techniques and optimizing machining parameters is crucial for achieving high-quality outcomes. However, simplifying these processes remains a significant challenge. This study focuses on determining the optimal machining parameters—cutting speed, feed rate, and depth-of-cut to enhance performance characteristics in Al6351 alloy plates. The parameters evaluated include surface roughness (Ra), material removal rate (MRR), resultant forces (RF), and temperature at the tool- workpiece interface (Temp). A modified Taguchi method was used to statistically analyze experimental results and develop equations correlating machining parameters with performance outcomes. These equations were validated through experimentation. Additionally, corrections were calculated to estimate each performance characteristic minimum and maximum values under varying conditions. The optimal parameter combination were cutting speed of 1130 rpm, feed rate of 400 mm/min, and depth-of-cut of 0.15 mm, which was found to simultaneously achieve low Ra, high MRR, low RF, and low Temp. All analyses were performed using Microsoft Excel. The results from the modified Taguchi approach were comparable to those obtained from heuristic intelligence algorithms. These studies will be easily extended to AA6351/Al2O3 metal matrix composites through stir casting methods useful in automotive and other sectors.

Keywords: Machining Parameters Optimization; Modified Taguchi Method; Surface Roughness (Ra); Material Removal Rate (MRR); Al6351 Alloy Machining; Multi-objective Optimization.

How to cite this article:
Suthapalli Satya Surya Sai Lokesh, K. Sri Manikanta, Boggarapu Nageswara Rao, K. Prasanth Kumar Reddy, V. Sai Akshara, Muni Tanuja Anantha. Experimental Investigation and Optimization of Machining Parameters for Al6351 Alloy Using a Modified Taguchi Approach. Journal of Polymer & Composites. 2026; 14(02):-.
How to cite this URL:
Suthapalli Satya Surya Sai Lokesh, K. Sri Manikanta, Boggarapu Nageswara Rao, K. Prasanth Kumar Reddy, V. Sai Akshara, Muni Tanuja Anantha. Experimental Investigation and Optimization of Machining Parameters for Al6351 Alloy Using a Modified Taguchi Approach. Journal of Polymer & Composites. 2026; 14(02):-. Available from: https://journals.stmjournals.com/jopc/article=2026/view=242529


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Ahead of Print Subscription Original Research
Volume 14
02
Received 13/09/2025
Accepted 29/09/2025
Published 01/05/2026
Publication Time 230 Days
78

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