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Modeling of cutting force prediction in machining high-volume SiCp/Al composites

机译：加工大容量SICP / Al复合材料中切割力预测的建模

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摘要

Variations in cutting forces significantly influence the tool wear and part quality in machining high-volume SiC-particle-reinforced aluminum matrix (SiCp/Al) composites. Properties of the reinforcement SiC particles, such as size and volume fraction, contribute to the change in the cutting forces. This paper presents a cutting force model based on the geometrical and mechanical nature of the tool and workpiece, considering the effect of the SiC reinforcement particles. The cutting force is predicted as three components (F-z, F-x, and F-y) and the resultant cutting force F tau s. The cutting force was considered to generate three deformed zones: (a) shear deformed zone, (b) friction deformed zone on the chip-tool interface, (c) plow deformed zone. The effect of SIC reinforcement particles on friction deformed zone is analyzed emphatically. The friction force from friction deformed zone was obtained by calculating the sliding friction force and rolling friction force. To verify the feasibility and validity of the predicted model of cutting force, cutting experiments were performed with different combinations of cutting speed, feed rate, depth of cut, and tool nose radius. The predicted cutting force values demonstrate good agreement with the measured experimental cutting force values in most cutting conditions. The average percentages of the prediction error were 1.93%, 6.20%, and 10.48% for the F-z, F-x, and F-y components, respectively, thus proving the validity and accuracy of the predicted model of cutting forces. (C) 2019 Elsevier Inc. All rights reserved.
机译：切割力的变化显着影响加工大容量SiC粒子增强铝基质（SICP / Al）复合材料中的工具磨损和部分质量。增强SiC颗粒的性质，例如尺寸和体积分数，有助于切割力的变化。本文介绍了一种基于工具和工件的几何和机械性质的切割力模型，考虑到SiC加强颗粒的效果。切割力预测为三个部件（F-Z，F-x和F-Y），并得到的切割力F Tau S。认为切割力产生三个变形的区域：（a）剪切变形区，（b）芯片工具界面上的摩擦变形区，（c）犁变形区域。强调分析SiC加强颗粒对摩擦变形区的影响。通过计算滑动摩擦力和滚动摩擦力来获得来自摩擦变形区的摩擦力。为了验证预测的切割力模型的可行性和有效性，用切割速度，进料速率，切割深度和刀尖半径的不同组合进行切割实验。预测的切割力值与大多数切割条件中的测量实验切割力值表现出良好的一致性。预测误差的平均百分比分别为F-Z，F-X和F-Y组分的1.93％，6.20％和10.48％，从而证明了切削力预测模型的有效性和准确性。 （c）2019 Elsevier Inc.保留所有权利。

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