Title: Parametric optimisation in dry drilling of low carbon steel, grey cast iron and bakelite

Authors: Tapas Banerjee; Asish Bandyopadhyay; Pradip Kumar Pal

Addresses: Mechanical Engineering Department, Jadavpur University, Kolkata, Pin: 700032, West Bengal, India ' Mechanical Engineering Department, Jadavpur University, Kolkata, Pin: 700032, West Bengal, India ' Mechanical Engineering Department, Jadavpur University, Kolkata, Pin: 700032, West Bengal, India

Abstract: In the present study, work pieces of different materials like low carbon steel, grey cast iron and bakelite with pilot hole of 12.0 have been used for drilling operations. The drill sizes Φ12.5, Φ13, Φ13.5 and Φ14 have been used with depth of cut varying from 0.25 to 1.0 mm. Taguchi-based L₁₆ orthogonal array has been used for design of experiment (DOE). The input parameters are spindle speed, feed and depth of cut and the responses to be measured are surface roughness and cutting vibration along three directions. Parametric optimisation has been conducted and it is observed that spindle speed is the most influential factor for low carbon steel and bakelite whereas feed is the dominant factor for grey cast iron. Confirmatory tests have also been performed for validation of the applied optimisation technique.

Keywords: drilling; surface finish; cutting vibration; multi-objective optimisation; Taguchi; multi-response performance index; MPI.

DOI: 10.1504/IJMMM.2018.094732

International Journal of Machining and Machinability of Materials, 2018 Vol.20 No.4, pp.358 - 386

Received: 15 Dec 2016
Accepted: 02 Sep 2017
Published online: 14 Sep 2018 *

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