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首页> 外文期刊>Journal of Manufacturing Processes >Exit burr height mechanistic modeling and experimental validation for low-frequency vibration-assisted drilling of aluminum 7075-T6 alloy
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Exit burr height mechanistic modeling and experimental validation for low-frequency vibration-assisted drilling of aluminum 7075-T6 alloy

机译:7075-T6合金的低频振动辅助钻孔退出毛刺高度机械建模和实验验证

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摘要

The burr influences the surface quality and the performance of the part. Nowadays, vibration-assisted drilling (VAD) is used to decrease the exit burr size. However, further analysis of the VAD burr formation mechanism is required. A mathematical burr prediction model of low-frequency VAD is proposed for the aluminum 7075-T6 alloy cutting. This model includes material deformation mechanisms, multi-region thrust force, and VAD kinematic characteristics. In the material deformation process of VAD, the Johnson-Cook model and fracture model are considered. The results indicate that the experimental burr height is consistent with the model prediction values, and the deviation is less than 8%. The average burr height of VAD decreases by 49.5 %-52.6 % compared with conventional drilling (CD). The parameter analysis shows that the vibration amplitude had the highest sensitivity to the burr height. In the Multivariate regression analysis (MRA), the regression coefficient sum of vibration-related parameters' absolute values (0.676) approximates the sum of other parameters' absolute values (0.817).
机译:毛刺影响了表面质量和部件的性能。如今,振动辅助钻孔(VAD)用于减少出口毛刺尺寸。但是,需要进一步分析VAD毛刺形成机制。铝7075-T6合金切割提出了低频VAD的数学毛刺预测模型。该模型包括材料变形机制,多区域推力和VAD运动特性。在VAD的材料变形过程中,考虑了约翰逊烹饪模型和裂缝模型。结果表明,实验毛刺高度与模型预测值一致,偏差小于8%。与常规钻孔(CD)相比,VAD的平均毛刺高度降低了49.5%-52.6%。参数分析表明,振动幅度对毛刺高度具有最高的灵敏度。在多变量回归分析(MRA)中,振动相关参数的回归系数和绝对值(0.676)近似于其他参数的绝对值(0.817)的总和。

著录项

  • 来源
    《Journal of Manufacturing Processes》 |2020年第8期|350-361|共12页
  • 作者单位

    Beihang Univ Sch Mech Engn & Automat Beijing 100191 Peoples R China|Beihang Univ Beijing Adv Innovat Ctr Biomed Engn Beijing 100083 Peoples R China;

    Beihang Univ Sch Mech Engn & Automat Beijing 100191 Peoples R China|Beihang Univ Beijing Adv Innovat Ctr Biomed Engn Beijing 100083 Peoples R China;

    Beihang Univ Sch Mech Engn & Automat Beijing 100191 Peoples R China|Beihang Univ Beijing Adv Innovat Ctr Biomed Engn Beijing 100083 Peoples R China;

    Beihang Univ Sch Mech Engn & Automat Beijing 100191 Peoples R China|Beihang Univ Beijing Adv Innovat Ctr Biomed Engn Beijing 100083 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vibration-assisted drilling; Exit burr height; Burr prediction; Analytical model;

    机译:振动辅助钻孔;出口毛刺高度;毛刺预测;分析模型;

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