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May 3, 2026Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering1 citations

Multi-objective optimization of turning parameters for Incoloy 825 using hybrid MEREC-RAM method

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SSSaurabh Kumar SahuAKAkhtar KhanSSShiena Shekhar

Key Points

  • This study aims to optimize turning parameters for Incoloy 825 to improve surface finish and material removal rate.
  • Optimized parameters determined using the hybrid MEREC-RAM method
  • Experiment conducted using Taguchi L 9 orthogonal array design
  • Deep cryogenic treatment applied to carbide inserts for enhanced performance.
  • Optimal cutting speed found at 60 m/min, feed rate at 0.2 mm/rev, depth of cut at 0.6 mm.
  • Significant reduction in surface roughness and machining temperature observed with optimized settings.
  • Microscopic analysis provided insights into chip formation and tool wear under various machining conditions.

Abstract

Machining parameters play a crucial role in determining the surface finish, tool life and material removal rate in hard-to-cut advanced materials. Studies have been carried out to optimize machining parameters for numerous superalloys. However, optimum machining parameters for Incoloy 825 using modern methods such as the multi-criteria decision making-based hybrid Method Based on the Removal Effects of Criteria–Root Assessment Method (MEREC-RAM) approach are less explored. The present study suggests an optimal set of turning parameters with an objective of minimize the surface roughness, flank width, machining temperature and maximize the material removal rate after turning of Incoloy 825. The optimal combination is achieved by optimization of the above-mentioned output/characteristics using the hybrid MEREC-RAM method. The experiment has been conducted according to the Taguchi L 9 orthogonal array design. Carbide inserts used in the experiment are deep cryogenically treated for better performance. The optimal machining parameters were found at a cutting speed of 60 m/min, a feed rate of 0.2 mm/rev, and a depth of cut of 0.6 mm. Also, microscopic analysis of chips and worn-out tools was described for a better understanding of the effect of each combination of variables. The method used is robust and reliable and can be easily implemented in critical industrial areas where multiple attributes are involved.

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Cite This Study

Sahu et al. (2026) studied this question.

synapsesocial.com/papers/69f6e6e68071d4f1bdfc7887https://doi.org/10.1177/09544089261443388
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