Excessively high temperature during milling will shorten the life of the milling tools, reduce the surface quality of the workpiece, and increase production costs. In this paper, a novel cutting temperature prediction model for milling Al7050 is proposed, which considers both tool geometry parameters and milling parameters. The aim is to adjust the milling conditions in advance according to the predicted temperature, thereby prolonging the tool life and improving the machining quality. Through single-factor experiments, it is found that there is a polynomial relationship between tool geometric parameters and cutting temperature. Based on the empirical formula of cutting temperature, an improved mathematical model of cutting temperature is proposed. In this model, eight variables including tool geometry parameters and milling parameters are considered. The coefficients of the mathematical model are determined by the cyclic fitting method. The simulation data and experimental data show that compared with the temperature prediction model considering only milling parameters, this model has better prediction accuracy. This idea can also be used to establish the cutting temperature prediction model of other materials.

中文翻译：

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基于刀具几何参数和铣削参数影响的Al7050立铣刀切削温度改进数学模型

铣削时温度过高会缩短铣刀寿命，降低工件表面质量，增加生产成本。在本文中，提出了一种新颖的铣削Al7050切削温度预测模型，该模型同时考虑了刀具几何参数和铣削参数。目的是根据预测的温度提前调整铣削条件，从而延长刀具寿命，提高加工质量。通过单因素实验发现刀具几何参数与切削温度之间存在多项式关系。基于切削温度经验公式，提出了一种改进的切削温度数学模型。在这个模型中，考虑了八个变量，包括刀具几何参数和铣削参数。数学模型的系数由循环拟合法确定。仿真数据和实验数据表明，与仅考虑铣削参数的温度预测模型相比，该模型具有更好的预测精度。这个想法也可以用来建立其他材料的切削温度预测模型。