On the uncertainty of surface determination in x-ray computed tomography for dimensional metrology
On the uncertainty of surface determination in x-ray computed tomography for dimensional metrology
With x-ray computed tomography (CT) it is possible to evaluate the dimensions of an object’s internal and external features non-destructively. Dimensional measurements evaluated via x-ray CT require the object’s surfaces first be estimated; this work is concerned with evaluating the uncertainty of this surface estimate and how it impacts the uncertainty of fitted geometric features. The measurement uncertainty due to surface determination is evaluated through the use of a discrete ramp edge model and a Monte Carlo simulation. Based on the results of the Monte Carlo simulation the uncertainty structure of a coordinate set is estimated, allowing individual coordinate uncertainties to be propagated through the geometry fit to the final measurement result. The developed methodology enables the uncertainty due to surface determination to be evaluated for a given measurement task; the method is demonstrated for both measured and simulated data.
x-ray computed tomography, dimensional metrology, surface determination, uncertainty, monte carlo, weighted least-squares
1-8
Lifton, J.J.
0382deb4-709b-412d-9555-a14740738263
Malcolm, A.A.
d78bb426-fde7-46bb-a2a8-d501fa4a1dd0
McBride, J.W.
d9429c29-9361-4747-9ba3-376297cb8770
16 February 2015
Lifton, J.J.
0382deb4-709b-412d-9555-a14740738263
Malcolm, A.A.
d78bb426-fde7-46bb-a2a8-d501fa4a1dd0
McBride, J.W.
d9429c29-9361-4747-9ba3-376297cb8770
Lifton, J.J., Malcolm, A.A. and McBride, J.W.
(2015)
On the uncertainty of surface determination in x-ray computed tomography for dimensional metrology.
Measurement Science and Technology, 26 (3), .
(doi:10.1088/0957-0233/26/3/035003).
Abstract
With x-ray computed tomography (CT) it is possible to evaluate the dimensions of an object’s internal and external features non-destructively. Dimensional measurements evaluated via x-ray CT require the object’s surfaces first be estimated; this work is concerned with evaluating the uncertainty of this surface estimate and how it impacts the uncertainty of fitted geometric features. The measurement uncertainty due to surface determination is evaluated through the use of a discrete ramp edge model and a Monte Carlo simulation. Based on the results of the Monte Carlo simulation the uncertainty structure of a coordinate set is estimated, allowing individual coordinate uncertainties to be propagated through the geometry fit to the final measurement result. The developed methodology enables the uncertainty due to surface determination to be evaluated for a given measurement task; the method is demonstrated for both measured and simulated data.
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More information
Accepted/In Press date: 12 November 2014
e-pub ahead of print date: 12 November 2014
Published date: 16 February 2015
Keywords:
x-ray computed tomography, dimensional metrology, surface determination, uncertainty, monte carlo, weighted least-squares
Organisations:
Mechatronics
Identifiers
Local EPrints ID: 374631
URI: http://eprints.soton.ac.uk/id/eprint/374631
ISSN: 1361-6501
PURE UUID: 1cfc2345-93b0-42af-9a9f-80f74ed1b97e
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Date deposited: 24 Feb 2015 09:51
Last modified: 15 Mar 2024 02:39
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Author:
J.J. Lifton
Author:
A.A. Malcolm
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