Quantifying the Contribution of Post-Processing in Computed Tomography Measurement Uncertainty

被引:6
作者
Stolfi, Alessandro [1 ]
Thompson, Mary Kathryn [2 ]
Carli, Lorenzo [3 ]
De Chiffre, Leonardo [1 ]
机构
[1] Tech Univ Denmark, Dept Mech Engn, DK-2800 Lyngby, Denmark
[2] Tech Univ Denmark, Dept Appl Math & Comp Sci, DK-2800 Lyngby, Denmark
[3] Novo Nordisk AS, DK-3400 Hillerod, Denmark
来源
14TH CIRP CAT 2016 - CIRP CONFERENCE ON COMPUTER AIDED TOLERANCING | 2016年 / 43卷
关键词
Computed Tomography; measurement uncertainty; post-processing uncertainty; assembly; metrology;
D O I
10.1016/j.procir.2016.02.123
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper evaluates and quantifies the repeatability of post-processing settings, such as surface determination, data fitting, and the definition of the datum system, on the uncertainties of Computed Tomography (CT) measurements. The influence of post-processing contributions was determined by calculating the standard deviation of 10 repeated measurement evaluations on the same data set. The evaluations were performed on an industrial assembly. Each evaluation includes several dimensional and geometrical measurands that were expected to have different responses to the various post-processing settings. It was found that the definition of the datum system had the largest impact on the uncertainty with a standard deviation of a few microns. The surface determination and data fitting had smaller contributions with sub-micron repeatability. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码:297 / 302
页数:6
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