Multi-Response Optimization of Parameters in Turning of DSS-2205 using Hybrid (Al2O3+CuO) Nano Cutting Fluid with MQL

Abstract

Duplex stainless steel (DSS)-2205 offers high strength compared to normal steels; however, currently need for rapid production of high-quality parts in bulk quantities has led to high competitiveness. So characterizations of machining process parameters of DSS-2205 are essential. This paper focuses on finding the optimum turning parameters for cutting force(CF), cutting temperature(CT), and surface roughness(SR) in turning of DSS-2205 using hybrid(Al2O3+CuO) nano cutting fluid under minimum quantity lubrication technique. The experiments were conducted based on the face-centered composite design (CCF) in three levels of four factors, namely volume concentration of nanoparticles, Cutting speed, feed rate, and Depth of Cut (DOC). The analysis of variance (ANOVA) was used to inspect the most significant turning parameters on responses. The feed rate is the most influential parameter for cutting force & surface roughness and DOC for cutting temperature. Multi-response optimization was carried out under the desirability function approach (DFA). The optimum turning parameters for minimizing the responses are volume concentration of nanoparticles 0.3 %, speed 50 m/min, feed rate 0.051 mm/rev and DOC 0.4 mm.

Keywords

• analysis of variance
• duplex stainless steel
• desirability function analysis
• nano cutting fluid