Response surface methodology based on polyamide incorporated with biolubricant for optimisation of operating parameters in heavy vehicles

Abstract

In this paper, the coefficient of friction (COF) and wear of pure and filled polyamide incorporated with and without bio lubrication prediction models based on response surface methodology (RSM) are exhibited in heavy vehicles. A special purpose vehicle is a motor vehicle or trailer, other than an agricultural vehicle or a tow truck, built for a purpose other than carrying goods, or a concrete pump or fire truck (both of which carry water). Examples of a special purpose vehicle include a mobile crane, a concrete pump, drill rig or fire truck. The models were developed based on three-level design of experiments conducted on pure polyamide such as Polyamide6, Polyamide66 and filled polyamide like Polyamide66 filled with glass fibre 30 and Polyamide66 filled with molybdenum disulfide, considering with load, speed and sliding distance as process parameters. Numerical models of second order RSM clearly show that the prediction capabilities of response surface methodology models are more desirable. This implementation identifies the insignificant main factors and contact factors or insignificant quadratic expressions in the model and in this manner can diminish the complexity of the problem.