Search Results

1 - 6 of 6 items :

  • "industrial computed tomography" x
Clear All

., Berthel, M., Hornig, A., Ručevskis, S., Andrich, M. (2012). A test device for damage characterisation of composites based on in situ computed tomography. Composites Science and Technology , 72 (12), 1361–1367. Jansson, A., Pejryd, L. (2019). In-situ computed tomography investigation of the compression behaviour of strut, and periodic surface lattices. In 9th Conference on Industrial Computed Tomography (pp. 1–7). Koruba, P., Karoluk, M., Ziółkowski, G., Chlebus, E. (2018). Application of thermal imaging system for


This paper presents the sophisticated capabilities of industrial computed tomography (CT) in the development and 3D modelling process of new car system components. Usually, the process of the development of new car components takes three to five years. At each development process stage, quality control is crucial to catch all internal and external defects. This is particularly important with regard to components made using an injection-moulding process. Computed tomography as a non-destructive testing method is an excellent tool for controlling and improving both the manufacturing process and the 3D modelling of tested components. All analyses performed with use of CT are essential for meeting customer requirements. This paper shows how industrial computed tomography can control the quality of the car components development process.


This paper shows how industrial computed tomography (CT) works, its benefits and where it can be used in automotive world. As a non-destructive quality control technique (NDT), CT allows not only the measurement and evaluation of external and internal geometry, but is also useful for making reports with a visualisation of an entire component, e.g. a map of shape deviation and internal structural defects.


Heterogeneity in the tree trunks’ shapes and quality is not often reached fully using raw material potential in grading processes of tree and stand and the following sawmill processing.

Therefore, optimization of given processes is a current topic of research and is part of the operational practice. In the contribution we submit a survey of solving the given problems in the European and Slovak conditions. A significant impulse for solving problem at a new level is a significant progress in the field of industrial computed tomography. New and fast CT scanners have been developed and they enable to increase valuation by 15% in coniferous trees and by 24% in broadleaf trees. In the contribution we analyze period of returns of CT scanner’s implementation into the sawmill process within Slovak context for small, medium-sized and big sawmills. Results show that period of returns for big sawmills is approximately for years, for medium-sized sawmills is eight years when processing coniferous softwood or three to eight years in case of broadleaved processing. In the final synthesis we present a concept of interlinking the 3D scanner and technologies of laser woodcutting with the outcomes allowing to optimize stand grading and maximize profit of the given raw wood in the sawmill processing.

grooves for calibration and accuracy assessment of industrial computed tomography (CT) metrology. Measurement Science and Technology , 22 (11), 115502. [10] Obrist, A., Flisch, A., Hofmann, J. (2004). Point cloud reconstruction with sub-pixel accuracy by sliceadaptive thresholding of X-ray computed tomography images. NDT & E International , 37, 373-380. [11] Kowaluk, T., Wozniak, A. (2017). A new threshold selection method for X-ray computed tomography for dimensional metrology. Precision Engineering , 50, 449-454. [12] Battistoni, G., Muraro, S., Sala, P.R., Cerutti

5. References 1. ASTM E2767-13(2018), Standard Practice for Digital Imaging and Communication in Nondestructive Evaluation (DICONDE) for X-ray Computed Tomography (CT) Test Methods, ASTM International, West Conshohocken, PA, 2018. DOI 10.1520/E2767-13R18. 2. Bauer F., Schrapp M., Szijarto J.: Error Investigations for a CT and Additive Manufacturing based Reverse Engineering Workflow. 9th Conference on Industrial Computed Tomography (iCT), 2019. . 3. Besztak K., Jezierski G.: Metody radiologiczne. Opole 1999. 4. Bogard D.G., Thole K