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圆度误差不确定度的PDF优化估计评定

张珂 成果 阎卫增

张珂, 成果, 阎卫增. 圆度误差不确定度的PDF优化估计评定[J]. 机械科学与技术, 2020, 39(2): 235-240. doi: 10.13433/j.cnki.1003-8728.20190116
引用本文: 张珂, 成果, 阎卫增. 圆度误差不确定度的PDF优化估计评定[J]. 机械科学与技术, 2020, 39(2): 235-240. doi: 10.13433/j.cnki.1003-8728.20190116
Zhang Ke, Cheng Guo, Yan Weizeng. Evaluation of PDF Optimal Estimation of Roundness Error Uncertainty[J]. Mechanical Science and Technology for Aerospace Engineering, 2020, 39(2): 235-240. doi: 10.13433/j.cnki.1003-8728.20190116
Citation: Zhang Ke, Cheng Guo, Yan Weizeng. Evaluation of PDF Optimal Estimation of Roundness Error Uncertainty[J]. Mechanical Science and Technology for Aerospace Engineering, 2020, 39(2): 235-240. doi: 10.13433/j.cnki.1003-8728.20190116

圆度误差不确定度的PDF优化估计评定

doi: 10.13433/j.cnki.1003-8728.20190116
基金项目: 

上海市联盟计划项目 LM2018-5

上海应用技术大学协同创新基金 XTCX2018-13

详细信息
    作者简介:

    张珂(1968-), 教授, 博士, 研究方向为机械精密测量、机械设计, zkwy2004@126.com

  • 中图分类号: TG801;TG83

Evaluation of PDF Optimal Estimation of Roundness Error Uncertainty

  • 摘要: 针对现有工件圆度误差的不确定度评定国标方法不能兼顾简化计算和避免分布假设的问题,对以圆度误差评定为基础的不确定度评定新方法进行研究。首先,基于最小二乘拟合圆法进行误差评定。然后,利用最大熵原理结合粒子群算法求解圆度误差概率密度函数(PDF)的优化估值。最后,利用数值积分对圆度误差不确定度进行评定,并与测量不确定度表示指南(GUM)和蒙特卡罗法(MCM)进行对比验证。结果表明,PDF估计法可实现小样本数据、无分布假设下的圆度误差不确定度评定,算法收敛性好、估值稳定。
  • 图  1  粒子群算法程序流程框图

    图  2  轴承外圈测量过程

    图  3  粒子迭代收敛过程

    图  4  圆度误差PDF对比图

    图  5  MCM概率分布图

    表  1  三坐标测量机实测数据

    序号X/mmY/mm
    127.496 20.000 9
    226.913 95.628 3
    325.590 210.057 5
    423.546 814.198 1
    520.843 217.934 3
    617.540 421.175 1
    713.759 523.806 1
    89.578 225.773 9
    95.129 027.013 5
    100.534 727.490 8
    11-4.073 527.192 7
    12-8.569 526.126 0
    13-12.820 624.323 8
    14-16.713 621.832 7
    15-20.123 318.735 6
    16-22.975 715.101 4
    17-25.182 111.038 6
    18-27.413 52.118 0
    19-27.381 5-2.503 8
    20-26.575 0-7.053 6
    21-25.018 9-11.402 5
    22-22.754 0-15.434 4
    23-19.854 7-19.018 0
    24-16.388 7-22.075 3
    25-12.459 8-24.508 5
    26-8.178 3-26.249 7
    27-3.675 0-27.248 1
    280.932 0-27.479 2
    295.529 0-26.933 5
    309.947 5-25.633 3
    3114.099 7-23.604 7
    3217.853 9-20.911 5
    3321.099 3-17.632 5
    3423.753 2-13.850 6
    3525.734 7-9.683 9
    3627.489 2-0.640 4
    下载: 导出CSV

    表  2  最小二乘圆度误差信息表

    序号δ/mm
    10.002 19
    20.002 02
    30.001 98
    40.001 68
    50.002 13
    60.002 19
    70.002 59
    80.002 14
    90.002 32
    100.002 24
    下载: 导出CSV

    表  3  PDF参数列表

    序号λ0λ1λ2λ3
    f16.811 089.719 5-171.341 4-106.560 3
    f26.811 489.536 6-157.023 0-91.936 4
    f36.811 189.624 0-147.488 4-127.136 3
    f46.811 389.513 9-125.967 7-78.100 0
    f56.811 689.355 3-127.882 5-84.148 0
    f66.811 189.593 4-134.553 1-156.560 4
    f76.811 289.519 1-121.131 7-89.244 5
    f86.811 089.771 2-189.204 1-119.466 2
    f96.811 389.528 7-133.726 3-129.551 9
    f106.811 189.602 2-141.558 4-132.423 8
    下载: 导出CSV

    表  4  GUM和MCM评定结果

    序号GUM法MCM法
    δ/mmu/μmδ/mmu/μm
    10.002 1910.294 40.002 1850.418 3
    20.002 0260.294 20.002 0230.424 4
    30.001 9750.319 10.001 9760.412 4
    40.001 6840.283 50.001 6750.401 8
    50.002 1290.294 80.002 1270.423 1
    60.002 1930.294 50.002 1870.418 9
    70.002 5910.291 30.002 5230.412 7
    80.002 1360.294 10.002 1330.422 3
    90.002 3150.293 90.002 3110.410 6
    100.002 2410.294 30.002 2380.417 4
    下载: 导出CSV

    表  5  GUM和MCM评定方法对比

    名称δ/mmu/μm
    PDF估计法0.002 1410.262 7
    GUM法评定均值0.002 1480.295 4
    MCM法评定均值0.002 1370.416 2
    下载: 导出CSV
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  • 收稿日期:  2019-03-08
  • 刊出日期:  2020-02-01

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