基于高斯滤波下的粗糙度不确定度的计算
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  • 英文篇名:The calculation of roughness uncertainty based on Gaussian filter
  • 作者:刘晨辉
  • 英文作者:LIU Chen-hui;School of Mathematics,Tianjin University;
  • 关键词:高斯滤波 ; 不确定度 ; GUM ; 自适应蒙特卡罗方法
  • 英文关键词:Gaussian filter;;uncertainty;;GUM;;adaptive monte carlo method
  • 中文刊名:TEAR
  • 英文刊名:Journal of Tianjin University of Technology
  • 机构:天津大学数学学院;
  • 出版日期:2019-04-15
  • 出版单位:天津理工大学学报
  • 年:2019
  • 期:v.35;No.153
  • 语种:中文;
  • 页:TEAR201902008
  • 页数:5
  • CN:02
  • ISSN:12-1374/N
  • 分类号:40-44
摘要
自由曲面的粗糙度的大小直接反映了表面加工质量的优劣.粗糙度的提取可以通过滤波过程来实现,本文选取高斯滤波来确定粗糙度评定中线,高斯滤波可以得到较为准确的粗糙度.本文将粗糙度评定中线根据波峰和波谷的位置在其临近部分分段模拟为二次曲线,最终分别得到波峰和波谷段的粗糙度评定中线的表达式.在此基础上,建立了关于粗糙度Rz的数学模型.随后采用"测量不确定度的标准指南"(GUM)来计算粗糙度的不确定度,并采用自适应蒙特卡罗方法(AMCM)来进行比较,得出了高斯滤波模型下通过GUM法来计算粗糙度不确定度是一种有效的方法.
        The roughness of free-form surface directly reflects the quality of surface machining. The extraction of roughness can be achieved by filtering. In this paper,Gaussian filter is selected to determine the assessment middle line of roughness.Gaussian filter can obtain the accurate roughness. In this paper,the assessment middle lines are simulated into quadratic curves according to the adjacent parts of wave peak and valley. Based on this,the mathematical model of roughness Rz is established. Then,the "Guide to the expression of uncertainty in measurement"(GUM) is adopted to calculate the uncertainty of roughness,and it is compared with the Adaptive Monte Carlo method(AMCM). The GUM method is an effective method to calculate roughness uncertainty based on the Gaussian filter model.
引文
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