Influence of cryogenic reaming process parameters on titanium alloy by using Grey relational analysis

Abstract

Optimization of process parameters in reaming operation is used mainly to reduce the production cost in industries. The current study focuses on the optimization effect of process parameters in cryogenic reaming of Titanium alloy. The input factors considered are cooling environment, cutting speed and feed rate. The effects of reaming parameters are cutting temperature, thrust force, torque, surface roughness, circularity and cylindricity. Multi response optimization-Grey relational analysis is used to optimize the process parameters. The smaller the better is used to minimize the better output responses and to find out the most significant factor affecting the reaming operation. As a result, the lower level parameter cutting speed 10 m/min and feed rate 0.1 mm/rev under cryogenic LN 2 cooling are found to be optimal conditions. The most significant factors (higher to lower) which affect the reaming operations are feed rate, cutting speed and cooling environment.

Temperature evaluation and performance comparison of various cooling techniques in drilling of grade 5 titanium alloy

“…Taguchi optimization system is used by researchers worldwide to ascertain optimized parameters for machining is adopted. This would make sure that flawless results are achieved [18]. Taguchi's procedure was implemented for selected three input parameters and considering the effect of interactions that exists among the inputs, an appropriate L18 orthogonal array (OA) is framed for determining considered parameter impact.…”