Investigation on effect of machining parameters using TGRA approach for AISI 316 steel

Product quality is the index of quality characteristics mainly focused on surface roughness, in terms of superior properties like fatigue life improvement, corrosion resistance, aesthetic, etc. In mass manufacturing, the MRR is one of the concern in production area using the computer operated NC machines. The current research investigate the minimum surface roughness and maximum material removal rate using L9 orthogonal array with the process parameters involved in the machining operations. The material selection for this research is AISI 316 SS, turning experiments were conducted at different levels of speed in rpm, feed in mm/rev and depth of cut in mm. The selection of best optimal cutting condition is investigated in order to maximize the material removal rate and minimize the surface roughness. The grey relational analysis is employed, through that grey relational grade was obtained and used as a performance index to determine the optimal machining parameters. ANOVA concept is employed to find out the relative significance of machining parameters on performance measures. (c) 2018 Elsevier Ltd. All rights reserved. Selection and/or Peer-review under responsibility of International Conference on Advances in Materials and Manufacturing Applications [IConAMMA 2018].