Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators

Abstract

In this investigation, two environmental metrics (the comprehensive energy used (TU) and turning noise (TN)) and a quality metric (surface roughness (SR)) of the rotary turning process for the Ti6Al4V were optimized and reduced using the optimal factors (the inclined angle-i, depth of cut-d, feed-f, and turning speed-V). The TU model was proposed comprising the embodied energy of the insert and lubricant. The method based on the removal effects of criteria (MEREC), an improved quantum-behaved particle swarm optimization algorithm (IQPSO), and TOPSIS were applied to select weight values and the best optimal solution. The machining cost (MC) was proposed in terms of process parameters. The outcomes presented that the optimal values of the i, d, f, and V were 35 deg., 0.30 mm, 0.40 mm/rev., and 190 m/min, respectively, while the TU, SR, TN, and MC were saved by 6.7 %, 22.3 %, 23.5 %, and 8.5 %, respectively. The turning responses were primarily affected by the feed rate and turning speed, respectively. The developed turning process could be employed for machining hard-to-cut alloys. The developed approach could be applied to deal with optimization problems for other machining operations.