Mathematical method for describing the dynamic wear coefficient of FRP‐cemented carbide couple during continuous relative sliding.

In edge trimming of fiber reinforced plastic composites (FRPs), the friction couple consisting of the cemented carbide tool and FRP undergoes continuous relative sliding. The tribological properties, represented by the wear coefficient, change dynamically with the relative motion distance and varying temperature‐force conditions. Its value must be accurately determined to establish a solid foundation for developing advanced tool wear models. This paper presents a new method to mathematically describe such dynamic wear coefficient. The basic variation pattern is represented by a piecewise function, which includes a descending stage followed by a stable stage. The key function coefficients are correlated with varying temperature‐force conditions through a machine learning model. The results suggest that the wear coefficient generally exhibits a positive correlation with both normal force and temperature, as the increase in these factors accelerates the detachment of carbide particles. Furthermore, the wear coefficient of the friction couple containing FRP with better heat resistance increases at a faster rate with temperature, as the FRP with stable properties can more efficiently remove carbide particles from the softened cemented carbide surface in high‐temperature range. This work provides a crucial foundation for improving tool wear models from the perspective of scientifically adjusting the wear coefficient. Highlights: A piecewise function is defined to describe variation pattern of wear coeff.Non‐constant function coefficients are determined by machine learning modeling.The variation in detachment rate of carbide particles causes changes in wear coeff.The wear coeff. generally increases with the normal force and the temperature.The heat resistance of the FRP affects rising rate of wear coeff. with temperature. [ABSTRACT FROM AUTHOR]