Mr. Andrea Buratti Profile

Andrea Buratti

at RWTH Aachen Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 4 October 2016 Presentation + Paper

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. Schmitt

Proceedings Volume 9967, 99671C (2016) https://doi.org/10.1117/12.2240566

KEYWORDS: Computed tomography, Testing and analysis, 3D metrology, X-ray computed tomography, Dimensional metrology, Edge detection, X-rays, Sensors, Signal attenuation, Aluminum

Read 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.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years