Optimization on the Turning Process Parameters of SS 304 Using Taguchi and TOPSIS

Nikhil J. Rathod, Manoj K. Chopra, Prem Kumar Chaurasiya (), Umesh S. Vidhate and Abhishek Dasore
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Nikhil J. Rathod: Sarvepalli Radhakrishnan University
Manoj K. Chopra: Sarvepalli Radhakrishnan University
Prem Kumar Chaurasiya: Bansal Institute of Science and Technology
Umesh S. Vidhate: SMP Engineers and Electricals PVT. LTD
Abhishek Dasore: Rajeev Gandhi Memorial College of Engineering and Technology

Annals of Data Science, 2023, vol. 10, issue 5, No 11, 1405-1419

Abstract: Abstract Turning is a basic machining technique where parameters may be optimised to improve machining performance. The Taguchi and TOPSIS methods were used to find the parameters of optimum process in turning SS 304 using coated carbide tools. Cutting speed, feed rate, and depth of cut are all considered in the operation. This improves tool life while lowering production time and surface roughness. TOPSI and an orthogonal array are used to investigate the effects of input parameters on output parameters. In this work, S/N ratios are utilized to create a decision matrix, which is then utilized to convert a problem with multiple criteria for solving into a single-criteria issue using the TOPSIS approach. The results demonstrated that the strategy proposed is suitable for resolving multi-criteria process parameter enhancements. The best combination of process specifics was found to be 350 m/min cutting speed, 0.12 mm/rev feed rate, and 0.40 mm cut depth.

Keywords: Surface roughness; Tool life; Production time; Optimization; TOPSIS (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s40745-021-00369-2

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