Determining Multiple Optimal Solutions of Process Parameters for Cylindrical Plunge Grinding Operation Using NSGA II
Grinding is hard stage metal cutting operation carried out for generally producing better surface finish on the work piece. Cylindrical grinding is mostly used for machining accurate components of automobile industries. This paper presents multiple optimum solutions of cylindrical plunge grinding process parameters like dressing depth of cut, dressing cross feed rate and grinding feed rate. Experiments were performed on chromium bearing steel specimen by using Computer Numerical Control angular grinding head machine. Response Surface Metholodgy is used for developing mathematical models for surface roughness, grinding power and grinding ratio. Further these models are optimized by Non dominated Sorting Genetic Algorithm II using Matlab platform. Optimal pareto front obtained and it gives 18 optimum solutions.