Optimization of atomized spray cutting fluid eco-friendly turning of Inconel 718 alloy using ARAS and CODAS methods

Abstract

Atomized spray cutting fluid (ASCF) is a sophisticated machining technique that achieves higher productivity, enhanced surface quality, extended tool life, and cost benefits.This research aims to analyze the influence of cutting process parameters on Inconel 718 alloy turning in dry and ASCF cutting environments. The critical machining indices such as surface roughness, machining cost, power consumption, and tool life were analyzed concerning these two cooling environments. The cutting parameters were optimized using desirability functional analysis and two types of multicriteria decision making (MCDM) method, such as additive ratio assessment method (ARAS) and combinative distance-based assessment (CODAS) method, were investigated. The composite desirability index (CD) of optimum parameter setting(A2B1C2D2) is improved by 6.34 % compared to the initial parameter setting (A2B1C2D1). The optimum parameters from the MCDM technique are obtained as a cutting speed of 200 m/min, feed rate of 0.08 mm/rev, and depth of cut of 0.2 mm under ASCF environment. ASCF machining significantly minimize the surface roughness, machining cost and power consumption , maximize the tool life by about 16% , 51%, 17% and 48% respectively as compared with dry machining

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al2O3 Hybrid Composites

“…When machined the composites, owing to the difference in the melting point of matrix and reinforcing particles, the material surrounds the reinforcement gets melted leads to the detachment of particles from the surface. 22 When composites of higher weight percentage were machined, large quantity of reinforced partiles enters inside the spark gap results in densification of machined debris. It results in the poor flushing of debris which hinders the machining rate of the composites.…”

Multi-objective optimization of inconel 718 turning parameters using PCA-MARCOS and MARCOS-Taguchi

“…Thirumalai et al (2021) [7] used the TOPSIS technique to optimize the cutting parameters for Inconel 718 while turning operations. In their study, Sivalingam et al (2021) [8] used two MCDM approaches, namely additve ratio assessment (ARAS) and combinative distance-based assessment (CODAS), to optimize the operational parameters for dry cutting of Inconel 718 alloy in for atomized spray cutting fluid (ASCF).…”

Multi-Objective Optimization of the Inconel 718 Turning Parameters Using MARCOS–Based Taguchi S/N ratio

“…Thirumalai et al (2021) used the method (TOPSIS) to optimize the cutting parameters of Inconel 718 during turning. Sivalingam et al(2021). used two MCDM approaches, ARAS and CODAS, to optimize the operating parameters for turning Inconel 718 alloy in dry cutting settings (ASCF).…”