Wear resistance evaluation of cryogenically treated AISI–H11 steel: An optimization approach

Abstract

The consequences of key process parameters of cryogenic treatment (i.e. holding time and temperature) on the average coefficient of friction and wear rate in dry sliding condition at different level of load (60, 80, 100, 120 & 140 N) and sliding velocity (0.628, 0.942, 1.257, 1.571 & 1.885 m/s) have been explored through cubic regression mathematical modeling technique. An average error of 1% and 9.9% has been observed in the experimental and model given values for coefficient of friction and wear rate. Mathematical model equation capability is within the range of 95% confidence level. Moreover, desirability function approach has been employed to find out the process parameter to have lower wear resistance. Worn out samples have been examined with field emission scanning electron microscope (FESEM) and reveals that the operative mechanism for wear is delaminating and rupturing of matrix.