Temperature Field Prediction Method for Face Gear Generating Grinding with Discrete Grains as Computational Units

Prcdicting the temperature field of generating grinding for face gears was challcnging duc to two factors. One was the complex relative motions and contact variations between the grinding whccl and the face gear, which rendered the conventional gear grinding temperature field modcl inef-fective. The other was that most of the existing grinding temperature studies adopted the contact zone between the grinding wheel and the workpiccc as a moving banded heat source, neglecting the micro-cutting behavior of discrete abrasive grains in the grinding contact area, which led to low aecuraey of the grinding temperature field computation. To address these issucs, a material removal model of face gear was established, the expression of material removal Parameters was derived, and a novel grinding temperature prediction method was proposed that took the discrete abrasive grains as the computational unit and integrated the heat flux modcling with the grinding force model of different grinding phascs(sliding, ploughing and cutting). The grinding temperature measurement experiments of face gears demonstrate that the prediction errors of this method ränge from —6.94% to 9.29%. 1t is also observed that the temperature field exhibits distinet features of discreteness, local confinement and non-linear Variation, and the mechanism of these features was discussed. © 2024 Chinese Mechanical Engineering Society. All rights reserved.