Multiscale segmentation method for small inclusion detection in 3D industrial computed tomography

2007 ◽  
Author(s):  
G. Zauner ◽  
B. Harrer ◽  
D. Angermaier ◽  
M. Reiter ◽  
J. Kastner
Keyword(s):  
Computed Tomography ◽  
Segmentation Method ◽  
Small Inclusion ◽  
Industrial Computed Tomography ◽  
Multiscale Segmentation

Determination of GD&T Features Varying the Setting Parameters of X-Ray Computed Tomography by Response Surface Method

2020 ◽  
Vol 994 ◽  
pp. 280-287
Author(s):  
Anh Dao ◽  
Ágota Drégelyi-Kiss
Keyword(s):  
Computed Tomography ◽  
Response Surface ◽  
Response Surface Method ◽  
Measurement Errors ◽  
Surface Method ◽  
Industrial Computed Tomography ◽  
Dimensional Parameters ◽  
X Ray Computed ◽  
Set Up ◽  
Non Destructive

Measuring dimensional parameters (such as diameter, distance) by industrial computed tomography (CT) becomes more and more popular because of its advantages such as non-destructive method and short measurement time. However, the goodness of the measured values needs to be evaluated as a requirement of quality control. An aluminium test piece are designed and manufactured for mapping the measurement errors and uncertainties in case of dimensional CT measurements. In this article, the measurement errors are investigated based on the results of an experimental design, response surface method (RSM). Three main factors are varied systematically: the magnification of the CT, the numbers of views (NoV), and the set-up of the scanning mode. In the course of measurement evaluation several GD&T parameters are determined such as diameter of holes, distances between the holes, flatness and perpendicularity. The purpose of this research is to calculate the measurement errors and to determine the factors which have an effect on the dimensional CT measurement process.

Synchronous scanning mode of industrial computed tomography for multiple objects test

2017 ◽  
Vol 25 (5) ◽  
pp. 765-775 ◽  
Author(s):  
Fenglin Liu ◽  
Chao Quan ◽  
Weiwen Wu ◽  
Peng Feng ◽  
Yufang Cai
Keyword(s):  
Computed Tomography ◽  
Multiple Objects ◽  
Industrial Computed Tomography
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