Industrial Computed Tomography (ICT) System—A Versatile Tool

2008 ◽  
Author(s):  
C. Muralidhar ◽  
G. V. Siva Rao ◽  
K. Kumaran ◽  
M. P. Subramanian ◽  
Sijo N. Lukose ◽  
...  
2020 ◽  
Vol 994 ◽  
pp. 280-287
Author(s):  
Anh Dao ◽  
Ágota Drégelyi-Kiss

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.


2016 ◽  
Vol 685 ◽  
pp. 857-862 ◽  
Author(s):  
Igor Skirnevskiy ◽  
Aleksandr Korovin

Recent research studies in the sphere of computer tomography are connected with the task of image analysis. Due to the fact that computed tomography images include artifacts, low contrast and different types of noises, researchers have to deal with a wide range of problems during the processing. There is a wide variety of preliminary processing methods which allow solving these problems. Obviously, the choice of these methods has a major impact on the result [1]. However, algorithm analysis of computed tomography images is not considered in the literature nowadays. This work presents an overview of the implementation approach of these methods.


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

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