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

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.

Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method

“…The results indicated that the two methods TOPSIS and SAW respond similarly, the optimal values of the cutting speed, feed rate and depth of cut are 80 m/min, 0.05 mm/rev and 0.1 mm, respectively [22].…”

Study on Multi-Objective Optimization of the Turning Process of en 10503 Steel by Combination of Taguchi Method and Moora Technique

“…A combination method of Taguchi and Grey relational analysis (GRA) was used to optimize the turning process of DIN 1.2344 steel [28], turning the unidirectional glass fiber reinforced plastic (UD-GFRP) composite rods [29], turning the EN-8, EN-31 steel and EN-36 steel [30], turning the DIN Ck45 steel [31]. Taguchi was combined to TOPSIS and SAW method to optimize the turning process of Ti-6Al-4V alloy under minimum quantity lubrication (MQL) [32]. Taguchi was also combined to GA and PSO algorithm to optimize the turning process of S45C steel [33].…”

Application of TOPSIS an PIV Methods for Multi - Criteria Decision Making in Hard Turning Process

“…Selecting the cutting parameters to simultaneously ensure the minimum values of surface roughness, cutting forces, flank wear, where weights of parameters were determined by decision-makers [12]. Study [13] was performed to determine the cutting parameters to simultaneously ensure the minimum values of surface roughness, cutting forces, flank wear, and cutting temperature, where the weights of the criteria were determined by the AHP method. Selecting the cutting parameters to simultaneously ensure the minimum value of surface roughness and maximum value of MRR, where weights of parameters were determined by decision-makers [12].…”