Stage-resolved analysis of multiaxial stress–strain-state evolution in orthogonal cutting
摘要
Among the various machining methods, cutting plays a significant role in ensuring the quality and performance characteristics of machine parts and mechanisms. During the cutting process, the machined material of the workpiece is subjected to significant cyclic thermomechanical loads, which are determined by the stress-strain-state of the material in the cutting zones. This paper studies the evolution of the stress-strain-state characteristics (descriptors) of the machined material during orthogonal cutting at various cutting speeds and tool flank wear. These characteristics are evaluated by analyzing effective plastic strain, strain rate, effective stress, hydrostatic pressure, the triaxiality factor, and the Lode angle. This analysis is performed in various regions of the machined material using a tracking point methodology, which, during the simulation, move from the undeformed region of the material to the chip, to the tool cutting edge rounding zone, and into the subsurface layers of the machined material. To perform this analysis, multiple levels of analysis are used, ranging from individual tracking points and block-level analysis to an analysis of the effects of machining parameters, such as cutting speeds and tool flank wear. The results demonstrate a persistently shear-dominated deviatoric stress state throughout orthogonal cutting, while hydrostatic pressure and triaxiality factor exhibit pronounced regional and parameter-dependent variations. The evolution of the stress-strain state characteristics of the machined material based on individual tracking points and block analysis was carried out using the time coordinate as the independent variable, and a process coordinate independent of time was introduced to analyze the influence of machining parameters. The proposed tracking-point-based and stage-resolved methodology provides a physically consistent framework for analyzing multiaxial stress-state evolution during machining and supports the future development and validation of constitutive, damage, and finite-element models.