考虑刀‑屑变摩擦因数的铣削力预测
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TG501; TH113

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国家自然科学基金资助项目 (52175393)


Prediction Modeling of Milling Force Based on Variable Friction Coefficient Between Tool and Chip
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(1. Key Laboratory of Advanced Manufacturing and Intelligent Technology, Harbin University of Science and Technology Harbin, 150080, China)(2. The George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta, 30332, USA)

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    摘要:

    针对铣削过程中刀具磨损或破损导致切削力波动剧烈,进而使得铣削过程控制难的问题,需要建立考虑刀?屑间的摩擦特性进行切削力精确微元建模。由于常数表示摩擦因数无法全面地描述铣削过程中的摩擦特性,因此以硬质合金立铣刀铣削Cr12MoV淬硬钢过程为研究对象,根据前刀面温度分布和刀?屑间相对滑移速度建立摩擦因数的经验模型。在考虑材料硬度和刀具后刀面磨损的基础上建立第1剪切区、第2剪切区和第3剪切区受力预测模型,并通过离散微元法建立整体铣削力预测模型。仿真结果与铣削实验测得的结果有很好的一致性,验证了所建立模型具有较高的预测精度,进一步证明了随着后刀面磨损宽度的增加,铣削力随之增大。该结果为Cr12MoV淬硬钢铣削加工加工参数优化提供了理论支持。

    Abstract:

    Aiming at the problem that the tool is easy to wear and tear that causes sharp fluctuations in cutting force, which makes the milling process difficult to control, the precise cutting force element that takes into account the frictional characteristics between end mills and chips needs to be established. Based on that the fixed friction coefficient can not fully describe the friction characteristics during the milling process, taking carbide end mill milling process of Cr12MoV hardened steel as the research object, an empirical model of friction factor is established according to the temperature distribution of rake face and the relative slip velocity between the cutter and the chip. Based on the material hardness, the milling force prediction models of the first shear zone, the second shear zone and the third shear zone are established respectively. Then a three-dimensional milling force prediction model of the end mill is considered with the help of discretization. The simulation results are in good agreement with the results measured by the milling experiment, which verifies that the established model has high prediction accuracy, and further proves that the milling force increases with the increase of the flank wear width. The results provide theoretical support for the optimization of high hardness die steel milling.

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  • 在线发布日期: 2022-06-20
  • 出版日期: 2022-06-30
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