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Investigation of Influence by Different Segmentation Parameters on Surface Accuracy in Industrial X-ray Computed Tomography

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Digitizing Production Systems

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

In today’s rapid industry development, there is a need for more accurate technologies that can cope with the rising demand of manufacturing accuracy. X-ray computed tomography presents such a method that can reconstruct internal structures of an object without its destruction. This gives X-ray computed tomography great advantage over other tactile and optical measuring devices. This paper presents a study in which different segmentation parameters are used to reconstruct surface 3D models of an object and investigate the influence on surface accuracy caused by different segmentation parameters. Results of this investigation shows that the variation of segmentation parameters corresponds to change in dimensional deviations regarding measurands used in both 2D and 3D analysis.

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Acknowledgment

This research has been supported by the Ministry of Education, Science and Technological Development through the project no. 451–03-68/2020–14/200156: “Innovative scientific and artistic research from the Faculty of Technical Sciences (activity) domain”. Project IKARUS also supported parts of presented research (European Regional Development Fund, MIS: RC.2.2.08–0042, Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb).

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Authors and Affiliations

  1. Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

    Mario Sokac, Zeljko Santosi, Djordje Vukelic & Igor Budak

  2. Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Zagreb, Croatia

    Marko Katic

  3. TU Wien (Vienna University of Technology), Vienna, Austria

    Numan M. Durakbasa

Authors
  1. Mario Sokac
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  2. Marko Katic
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  3. Zeljko Santosi
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  4. Djordje Vukelic
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  5. Igor Budak
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  6. Numan M. Durakbasa
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Corresponding author

Correspondence to Mario Sokac .

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Editors and Affiliations

  1. Faculty of Mechanical and Industrial Engineering, Institute of Production Engineering and Photonic Technologies, TU Wien (Vienna University of Technology), Vienna, Austria

    Numan M. Durakbasa

  2. Faculty of Engineering, Industrial Engineering Department, İstanbul Aydın University, İstanbul, Turkey

    M. Güneş Gençyılmaz

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Sokac, M., Katic, M., Santosi, Z., Vukelic, D., Budak, I., Durakbasa, N.M. (2022). Investigation of Influence by Different Segmentation Parameters on Surface Accuracy in Industrial X-ray Computed Tomography. In: Durakbasa, N.M., Gençyılmaz, M.G. (eds) Digitizing Production Systems. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-90421-0_17

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  • DOI: https://doi.org/10.1007/978-3-030-90421-0_17

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  • Online ISBN: 978-3-030-90421-0

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