骨材料微铣削刀刃温度预测模型

由于骨材料的脆硬性和微铣削加工特点，目前还没有有效的骨铣削刀刃温度的理论预测模型，因此，提出一种骨材料微铣削刀刃温度预测模型，考虑骨材料在高速微铣削加工中热的产生、传递以及分配的特点，将预测模型划分成铣削产热模型和刀刃温度模型两个子模型.然后，建立骨铣削实验平台，并通过热像仪采集铣削过程中刀刃温度变化.最后，对比实验结果与理论预测，验证已建立的骨材料微铣削刀刃温度预测模型的合理性.该骨材料微铣削刀刃温度预测模型方便指导医生根据不同要求选择合适的加工参数，辅助工程人员进行刀具优化设计.

Temperature Prediction Model of Bone Material Micro-milling Cutting Edges

Due to the brittleness of bone materials and micro-milling characteristics， there is no effective theoretical prediction model for bone milling cutting edge temperature currently. A novel temperature prediction model of bone material micro-milling cutting edges was proposed. Considering the characteristics of generation， transmission and distribution of heat in bone material high-speed micro-milling， the prediction model was divided into two sub-models:milling heat generation model and cutting edge temperature model. Then， a bone milling experimental platform was established， and the cutting edge temperatures during the milling process were collected by a thermal imager. Finally， by comparing the experimental results with the theoretical predictions， the rationality of the built temperature prediction model of bone material micro-milling cutting edges was verified. The model is helpful to guide doctors to select appropriate processing parameters according to different requirements， and assist engineers in tool optimization design.