Abstract There are huge disparities in the physical and mechanical properties between the two-phase materials of particle reinforced metal matrix composites (PRMMCs). Therefore, the heat generated by reinforced particles and metal matrix is different under the action of cutting and rubbing of the cutting tool. However, limited studies have been done using analytical method to predict the cutting temperature during cutting PRMMCs. The purpose of this paper is to establish an analytical model to predict cutting and friction temperatures for workpiece surface layer based on the moving heat source method during cutting varied PRMMCs. The material properties (i.e. particle volume fraction and average particle size) of PRMMCs, respective physical properties of reinforced particle and metal matrix, and accurate value of friction force were taken into consideration in the proposed model. The temperature field distribution for workpiece surface layer was acquired. This study proposed a new design method of experiment to accurately determine the friction force and temperature between tool flank-workpiece during cutting PRMMCs required in the analytical model. The parameters of the heat generation ratio for shear plane and tool flank-workpiece rubbing heat sources were proposed, which were appropriate for cutting temperature prediction for PRMMCs with different particle volume fraction and average particle size. The fraction of the heat generated by shear plane conducted into workpiece (heat partition ratio, B A 1 s h e a r ) was also identified. Conducting the orthogonal cutting experiment, the influence tendencies of the various parameters such as average particles size, particle volume fraction, cutting speed, uncut chip thickness and tool flank wear on cutting temperature during cutting PRMMCs were evaluated. With verification, the analytical results of the cutting and friction temperatures based on the proposed model captured an acceptable tendency with experimental results and yielded a prediction error being smaller than 16.0 %. The proposed model in this study was applicable to predict the cutting and friction temperatures of PRMMCs especially with high particle volume fraction and large average particle size.

中文翻译：

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正交切削颗粒增强金属基复合材料时工件表层切削温度解析模型

摘要 颗粒增强金属基复合材料（PRMMCs）两相材料的物理力学性能存在巨大差异。因此，在刀具的切削和摩擦作用下，增强颗粒与金属基体产生的热量是不同的。然而，使用分析方法来预测切削 PRMMC 期间的切削温度的研究有限。本文的目的是建立一个分析模型，基于移动热源法在切削不同的 PRMMC 时预测工件表层的切削温度和摩擦温度。PRMMCs的材料特性（即粒子体积分数和平均粒径），增强粒子和金属基体各自的物理特性，并且在所提出的模型中考虑了摩擦力的精确值。获得工件表层的温度场分布。本研究提出了一种新的实验设计方法，以准确确定分析模型所需的切削 PRMMC 时刀具后刀面与工件之间的摩擦力和温度。提出了剪切面和刀具侧面-工件摩擦热源的生热比参数，适用于不同颗粒体积分数和平均粒径的PRMMCs切削温度预测。还确定了由剪切平面产生的热量传导到工件中的比例（热分配比，BA 1 剪切）。进行正交切割实验，评估了切削 PRMMCs 时，平均粒径、颗粒体积分数、切削速度、未切削切屑厚度和刀具后刀面磨损等各种参数对切削温度的影响趋势。经验证，基于所提出模型的切削温度和摩擦温度的分析结果与实验结果一致，预测误差小于 16.0%。本研究中提出的模型适用于预测 PRMMC 的切割和摩擦温度，尤其是具有高颗粒体积分数和大平均粒径的颗粒。基于所提出模型的切削温度和摩擦温度的分析结果与实验结果一致，预测误差小于 16.0%。本研究中提出的模型适用于预测 PRMMC 的切割和摩擦温度，尤其是具有高颗粒体积分数和大平均粒径的颗粒。基于所提出模型的切削温度和摩擦温度的分析结果与实验结果一致，预测误差小于 16.0%。本研究中提出的模型适用于预测 PRMMC 的切割和摩擦温度，尤其是具有高颗粒体积分数和大平均粒径的颗粒。