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切削力系数辨识的贝叶斯推断方法

冯伟 蔡思捷 籍永建 刘保国

冯伟,蔡思捷,籍永建, 等. 切削力系数辨识的贝叶斯推断方法[J]. 机械科学与技术,2020,39(6):898-903 doi: 10.13433/j.cnki.1003-8728.20190163
引用本文: 冯伟,蔡思捷,籍永建, 等. 切削力系数辨识的贝叶斯推断方法[J]. 机械科学与技术,2020,39(6):898-903 doi: 10.13433/j.cnki.1003-8728.20190163
Feng Wei, Cai Sijie, Ji Yongjian, Liu Baoguo. Applying Bayesian Inference to Identification of Cutting Coefficients[J]. Mechanical Science and Technology for Aerospace Engineering, 2020, 39(6): 898-903. doi: 10.13433/j.cnki.1003-8728.20190163
Citation: Feng Wei, Cai Sijie, Ji Yongjian, Liu Baoguo. Applying Bayesian Inference to Identification of Cutting Coefficients[J]. Mechanical Science and Technology for Aerospace Engineering, 2020, 39(6): 898-903. doi: 10.13433/j.cnki.1003-8728.20190163

切削力系数辨识的贝叶斯推断方法

doi: 10.13433/j.cnki.1003-8728.20190163
基金项目: NFSC-河南联合基金重点项目(U1604254)、省属高校基本科研业务费专项基金项目(2018QNJH04)及河南工业大学高层次人才科研启动基金项目(2017BS010)资助
详细信息
    作者简介:

    冯伟(1981−),讲师,博士,研究方向为高效精密加工、机械动力学,wfeng@haut.edu.cn

    通讯作者:

    刘保国,教授,博士生导师,bguoliu@haut.edu.cn

  • 中图分类号: TG548

Applying Bayesian Inference to Identification of Cutting Coefficients

  • 摘要: 快速标定斜角切削力系数的方法在切削力建模中得到了广泛应用,但该方法忽略了系数辨识过程中的不确定性因素。针对此问题,提出了一种基于贝叶斯推断的切削力系数辨识方法。推导了镶齿面铣刀铣削力解析模型,给出了快速标定斜角切削力系数的线性回归方法。通过马尔科夫链蒙特卡罗方法从切削力系数的后验分布中生成样本,然后基于贝叶斯推断方法评价切削力系数的变化。在给定的实验条件下,分别用线性回归方法和贝叶斯推断方法进行切削力系数辨识,将计算得到的铣削力与实验铣削力值进行对比,结果表明贝叶斯推断方法具有更高的预测精度。
  • 图  1  刀片切削刃轮廓及切削力

    图  2  铣削力测量实验装置

    图  3  铣削力系数抽样结果

    图  4  铣削力系数先验分布为正态分布时的后验分布

    图  5  铣削力系数分布为均匀分布时的后验分布

    图  6  仿真与实验得到的铣削力对比

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出版历程
  • 收稿日期:  2019-04-16
  • 刊出日期:  2020-06-05

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