An analytical method for optimizing imaging parameters in industrial x-ray computed tomography for dimensional measurements on multimaterial workpieces

A. Buratti; M. Ferrucci; S. Ben Achour; W. Dewulf; R. H. Schmitt

doi:10.1117/12.2240566

4 October 2016 An analytical method for optimizing imaging parameters in industrial x-ray computed tomography for dimensional measurements on multimaterial workpieces

A. Buratti, M. Ferrucci, S. Ben Achour, W. Dewulf, R. H. Schmitt

Author Affiliations +

Proceedings Volume 9967, Developments in X-Ray Tomography X; 99671C (2016) https://doi.org/10.1117/12.2240566
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

Industrial Computed Tomography (CT) has recently gained a prominent role in the field of dimensional metrology as a powerful 3D coordinate measurement technique. Its main advantage is the ability of measuring both inner and outer features of geometrically complex workpieces without altering or damaging them. The settings with which CT data are acquired can contribute to the uncertainty of measurements; these settings are chosen by the users in an intuitive way, resulting in high variability of the measurement outcome. There is currently no available holistic model that can (1) describe the relationship between CT setup parameters and measurement uncertainty, or (2) determine the optimal parameters for a given measurement task. In this study, we propose an analytical method to optimize imaging parameters for multimaterial measurements. The proposed method takes as input information about the nominal workpiece geometry and material composition. For a given workpiece position and orientation, the optimal photon energy is calculated to maximize edge detectability and minimize image noise. Subsequently, tube voltage and prefilter are chosen to ensure that the generated X-ray spectrum is quasi-monochromatic around the optimal photon energy. Focal spot size is chosen to minimize resolution, while also avoiding blurring. Then, the corresponding tube power is evaluated as well as the tube current. Finally, integration time is minimized so that the gray values of air are still in the linear range of the detector. The presented method was implemented into a software application and validated through simulation of CT scans of multimaterial workpieces. Measurements with predicted parameters were found to be more accurate than those performed with parameters chosen by expert users.

Conference Presentation

Citation Download Citation

A. Buratti, M. Ferrucci, S. Ben Achour, W. Dewulf, and R. H. Schmitt "An analytical method for optimizing imaging parameters in industrial x-ray computed tomography for dimensional measurements on multimaterial workpieces", Proc. SPIE 9967, Developments in X-Ray Tomography X, 99671C (4 October 2016); https://doi.org/10.1117/12.2240566

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available