Optimization of wear performance and COF of AISI 1040 steel using grey relational analysis

The present work investigates the wear performance of AISI 1040 steel under dry sliding conditions and its optimization using a Grey Relational Analysis (GRA). On a pin-on-disc tribometer, sliding wear tests were performed by varying the load (10-100 N), sliding speed (0.5-1.5 m/s), and sliding distance (400-1000 m). Three levels of variation were used in the test parameters. Taguchi's L-9 orthogonal array (OA) was used in the present experiments. GRA was used to predict an optimal condition (load 50 N, sliding speed 0.5 m/s, sliding distance 700 m) that would result in enhanced COF and wear rate of AISI 1040 steel under dry sliding conditions. (C) 2022 Elsevier Ltd. All rights reserved.