Temperature Field Prediction Method for Face Gear Generating Grinding with Discrete Grains as Computational Units
Predicting the temperature field of generating grinding for face gears was challenging due to two factors.One was the complex relative motions and contact variations between the grinding wheel and the face gear,which rendered the conventional gear grinding temperature field model inef-fective.The other was that most of the existing grinding temperature studies adopted the contact zone between the grinding wheel and the workpiece as a moving banded heat source,neglecting the micro-cutting behavior of discrete abrasive grains in the grinding contact area,which led to low accuracy of the grinding temperature field computation.To address these issues,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 computa-tional unit and integrated the heat flux modeling with the grinding force model of different grinding phases(sliding,ploughing and cutting).The grinding temperature measurement experiments of face gears demonstrate that the prediction errors of this method range from-6.94％to 9.29％.It is also observed that the temperature field exhibits distinct features of discreteness,local confinement and non-linear variation,and the mechanism of these features was discussed.
face geargenerating grindingdiscrete graintemperature predictiontemperature field feature
万方数据
维普
