Improving template-based CT data evaluation by integrating CMM reference data into a CAD model-based high fidelity triangle mesh

Müller A, Hausotte T (2022)

Publication Language: English

Publication Type: Journal article, Review article

Publication year: 2022

Journal

Nondestructive Testing and Evaluation Taylor & Francis

DOI: 10.1080/10589759.2022.2091135

Open Access Link: https://doi.org/10.1080/10589759.2022.2091135

Abstract

Industrial X-ray computed tomography is a relatively recent technology in the field of 3D coordinate metrology. The available technical solutions represent capable systems, which are continuously adapted for different applications. Nonetheless, some profound limitations and technical challenges remain (e.g. effects of the polychromatic X-ray spectrum and a strong correlation between image quality and measurement duration), which require continuous efforts in order to improve the accuracy of such systems in the context of dimensional metrology. Therefore, this contribution demonstrates the integration of CMM measurement data into a CAD model in order to generate full reference measurements, which can be used to evaluate the measurement accuracy of CT systems. Currently, much effort is being made in order to improve simulations of CT systems with the goal to realistically recreate real CT measurements. In order to validate the simulation model by comparison against physical CT measurements, the geometry of the measurement object has to be known as accurately as possible. The presented approach shows how to generate geometries from CMM reference data which are suited to be used as an input for CT simulation tools. Detailed technical descriptions of the algorithms are given and demonstrated based on real measurements.

Authors with CRIS profile

Andreas Müller Lehrstuhl für Fertigungsmesstechnik Tino Hausotte Lehrstuhl für Fertigungsmesstechnik

Related research project(s)

Metrology and measurement data evaluation for the geometrical product verification within a holistic tolerance management (FORTol) FOR 2271: Prozessorientiertes Toleranzmanagement mit virtuellen Absicherungsmethoden (FORTol) April 1, 2020 - April 1, 2023

How to cite

APA:

Müller, A., & Hausotte, T. (2022). Improving template-based CT data evaluation by integrating CMM reference data into a CAD model-based high fidelity triangle mesh. Nondestructive Testing and Evaluation. https://doi.org/10.1080/10589759.2022.2091135

MLA:

Müller, Andreas, and Tino Hausotte. "Improving template-based CT data evaluation by integrating CMM reference data into a CAD model-based high fidelity triangle mesh." Nondestructive Testing and Evaluation (2022).

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