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Optimization of machining parameters under MQL turning of Ti-6Al-4V alloy with textured tool using multi-attribute decision-making methods

Rupinder Singh (Department of Mechanical Engineering, Rayat-Bahra University, Mohali, India)
Jasminder Singh Dureja (Department of Mechanical Engineering, Punjabi University, Patiala, India)
Manu Dogra (Department of Mechanical Engineering, Swami Sarvanand Giri Panjab University Regional Centre, Hoshiarpur, India)
Jugraj Singh Randhawa (Department of Mechanical Engineering, Khalsa College of Engineering and Technology, Amritsar, India)

World Journal of Engineering

ISSN: 1708-5284

Article publication date: 20 September 2019

Issue publication date: 20 September 2019

254

Abstract

Purpose

This paper aims to focus on the application of multi-attribute decision-making methods (MADMs) to ascertain the optimal machining parameters while turning Ti-6Al-4V alloy under minimum quantity lubrication (MQL) conditions using Jatropha-curcas oil (JCO) bio-based lubricant.

Design/methodology/approach

The experiments were designed and performed using Taguchi L27 design of experiments methodology. A total of 27 experiments were performed under MQL conditions using textured carbide cutting tools on which different MADMs like Analytic hierarchy process (AHP), Technique for order preference by similarity to ideal solution (TOPSIS) and Simple additive weighting (SAW) were implemented in an empirical manner to extract optimize machining parameters for turning of Ti-6Al-4V alloy under set of constrained conditions.

Findings

The results evaluated through MADMs exhibit the optimized set of machining parameters (cutting speed Vc = 80 m/min, feed rate f = 0.05 mm/rev. and depth of cut ap = 0.10 mm) for minimizing the average surface roughness (Ra), maximum flank wear (Vbmax), tangential cutting force (Fc) and cutting temperature (T). Further, analysis of variance (ANOVA) and traditional desirability function approach was applied and results of TOPSIS and SAW methods having optimal setting of parameters were compared as well as confirmation experiments were conducted to verify the results. A SEM analysis at lowest and highest cutting speeds was performed to investigate the tool wear patterns. At the highest speed, large cutting temperature generated, thereby resulted in chipping as well as notching and fracturing of the textured insert.

Originality/value

The research paper attempted in exploring the optimized machining parameters during turning of difficult-to-cut titanium alloy (Ti-6AL-4V) with textured carbide cutting tool under MQL environment through combined approach of MADMs techniques. Ti-6Al-4V alloy has been extensively used in important aerospace components like fuselage, hydraulic tubing, bulk head, wing spar, landing gear, as well as bio-medical applications.

Keywords

Citation

Singh, R., Dureja, J.S., Dogra, M. and Randhawa, J.S. (2019), "Optimization of machining parameters under MQL turning of Ti-6Al-4V alloy with textured tool using multi-attribute decision-making methods", World Journal of Engineering, Vol. 16 No. 5, pp. 648-659. https://doi.org/10.1108/WJE-06-2019-0170

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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