Title: Multi-criteria process optimisation for better machinability in turning medium carbon steel using composite desirability approach

Authors: Prianka B. Zaman; Nikhil Ranjan Dhar

Addresses: Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh ' Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh

Abstract: Machinability of a particular material can be assessed by different indices. Considering multiple indices or criteria concurrently for selecting optimum conditions helps to enhance the overall machinability. In this work, optimum cutting speed, feed rate and cooling environment were accomplished for minimum cutting temperature, chip reduction coefficient and surface roughness by using composite desirability technique in turning medium carbon steel by coated carbide insert. Before performing the optimisation, quadratic models for different responses were developed by regression analysis and verified using R² values which were above 99% for all the models and the % error values were less than 3% for each case. With respect to maximum composite desirability value (0.989), the process parameters were selected as 96.988 m/min cutting speed, 0.12 mm/rev feed rate and NFMQL environment. It is expected that optimum process parameters help to acquire better machinability in turning medium carbon steel by coated carbide insert. [Submitted 5 May 2019; Accepted 30 September 2019]

Keywords: composite desirability; cutting temperature; MQL; multi-criteria optimisation; nanofluid; chip reduction coefficient; surface roughness.

DOI: 10.1504/IJMR.2021.117853

International Journal of Manufacturing Research, 2021 Vol.16 No.3, pp.280 - 308

Received: 05 May 2019
Accepted: 30 Sep 2019
Published online: 04 Oct 2021 *

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