Quality evaluation of effective abrasive micro-edge honing based on Tra-FAH and SPA

Abstract

Abstract CNC powerful gear honing can comprehensively improve the tooth surface performance and is widely used in the finishing process of high-performance gears in the transmission system of new energy vehicles. Accurate evaluation of gear honing processing quality has important engineering application value for popularizing the process of "honing instead of grinding". In this paper, 12 factors, such as abrasive particle size, are determined qualitatively by analyzing the factors affecting gear honing accuracy, tooth surface quality and machining efficiency. Based on trapezoidal fuzzy analytic hierarchy process (Tra-FAH) and set pair analysis method (SPA), a quantitative evaluation model of CBN abrasive micro edge honing quality is established. Through the influence factor weight and key factor sensitivity analysis, it is quantitatively determined that the honing process parameters and abrasive particle size, abrasive particle shedding, abrasive particle breakage and other factors are the key factors affecting the honing quality. Taking the particle size factor as an example, the machining experiment and analysis show that the model can correctly evaluate the honing quality of high quality hardened gears and can be used to study the mechanism of honing characteristics and improve the comprehensive quality of powerful gear honing.