Optimization of Abrasive Machining of Ductile Cast Nanopracticles: A Multilayer Perception Approach

This study was carried out study is to investigate the performance of grinding of ductile iron based on response surface method and to develop optimization model for grinding parameters u selected was surface grinding and it was carried out two different coolants which are conventional coolant and titanium dioxide nanocoolant. The selected inputs variables are table sp single pass and multiple pass. The selected output parameters are temperature rise, surface roughness and material removal rate. The ANOVA test has been carried out to check the adequacy of the devel mathematical model for MRR, surface roughness and temperature rise are developed based on response surface method. The artificial neural network model has been developed and analysis the performance parameters of g using two different types of coolant including the conventional as well as TiO that nanofluids as grinding coolants produces the better surface finish, good value of material removal rate and act effectively on minimizing grinding temperature. The developed ANN model can be used as Keywords: Grinding INTRODUCTION Grinding is a material removal and surface generation process used to shape and finish components made of metals and other materials.

M.M.Noor