Abstract
The selection of machining to process SS304 in an economical and eco-friendly way is the challenging task for the manufacturing engineers. The complication becomes at its peak due to the categorization of SS304 as difficult to machine material. In the current research, an attempt has been made to machine SS304 material using synthetic oil based cutting fluid. The machining variable selected as input process parameter are cutting speed (CS), feed (F) and depth of cut (DoC). The response characteristics measured and analyzed corresponding to L9 orthogonal array (Taguchi based) are tool wear, maximum surface roughness (Rt), mean roughness depth (Rz) and chip reduction coefficient (CRC). The optimization of the input process parameters was also attempted using hybrid approach of Vise Kriterijumska Optimizacija Kompromisno Resenje-Regression- Particle Swarm Optimization (VIKOR-Regression-PSO). The process parameters were optimized for each response individual and after that comparison was made with the responses obtained at the optimized setting suggested by hybrid approach for all responses simultaneously. The suggested optimized setting by hybrid approach was CS: 70m/min; F: 0.2mm/rev; DoC: 1.5mm. The response characteristics were validated after performing validation experiments as suggested optimal setting. The ±5% difference between predicted and experimental values reveals the authenticity of the hybrid optimization approach. During the machining of SS304, synthetic oil with synthetic ester (with appropriate mixture with water) was used as a cutting fluid to make the process as environment-friendly. Finally, the response characteristics after green machining at randomly selected experiments were compared to the results of dry machining and the outperformance of synthetic oil was measured in terms of response characteristics.