中国机械工程 ›› 2015, Vol. 26 ›› Issue (9): 1200-1204.

• 机械基础工程 • 上一篇    下一篇

一种针对圆形设计容差的二元测量系统能力评价的新方法

吴小芳;何桢;施亮星   

  1. 天津大学,天津,300072
  • 出版日期:2015-05-10 发布日期:2015-05-08
  • 基金资助:
    国家杰出青年科学基金资助项目(71225006);国家自然科学基金资助项目(71102140);国家自然科学基金资助重点项目(70931004) 

A New Method of Evaluating  Measurement System Capability for Two-dimensional Data with Circular Design Tolerances

Wu Xiaofang;He Zhen;Shi Liangxing   

  1. Tianjin University,Tianjin,300072
  • Online:2015-05-10 Published:2015-05-08
  • Supported by:
    National Science Funds for Distinguished Young Scholars( No. 71225006);National Natural Science Foundation of China(No. 71102140, 70931004)

摘要:

在一些测量过程中,测量仪器测得的数据是二维的,且设计容差为一个圆,当二元被测质量特性具有相关性时,无法直接利用常用的一元测量系统能力评价指数对圆形设计容差的二元测量系统进行分析和评价。提出了一种基于面积之比构造评价指数的方法,利用测量误差椭圆面积与设计容差圆面积之比和测量误差与测量值的椭圆面积之比建立测量系统能力评价指数,将常见的一元测量系统能力指数延伸到二元测量系统中,通过多元方差分析(MANOVA)估计评价指数来评价二元测量系统的能力。通过实例对该方法进行了验证。

关键词: 测量系统能力, 二维数据, 重复性与再现性, 多元方差分析

Abstract:

In  some measurement processes the measured data by a gauge are two-dimensional  and the design tolerance is a circular. When there is some correlation between two measured quality characteristics, the common evaluation indices for univariate measurement system capability cannot be applied directly to analyze and evaluate the two-dimensional measurement system capability with circular tolerance. A method of constructing evaluation indices based on ratios of areas was proposed herein. The measurement system capability evaluation indices were built through the area ratio of ellipse of gauge errors and circular of design tolerance, the ellipse area ratio of gauge error and measured values. Then the common evaluation indices for univariate measurement system capability could be extended to the two-dimensional measurement system. MANOVA was used to estimate the indices to assess the two-dimensional measurement system capability. At last the proposed method was proved by an example.

Key words: measurement system capability;two-dimensional data;repeatability and reproducibility(R&R);multivariate analysis of , variance(MANOVA)

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