IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v531y2019ics0378437119307228.html
   My bibliography  Save this article

Optical inspection of cutting parts by 3D scanning

Author

Listed:
  • Lazarević, Dragan
  • Nedić, Bogdan
  • Jović, Srđan
  • Šarkoćević, Živče
  • Blagojević, Milan

Abstract

In this paper was presented 3D scanning application of dimensional inspection of parts obtained by cutting process. The dimensional and geometric deviations of cylindrical shoots of aluminum alloy parts, machined by applying different milling parameters, were measured using the coordinate measuring machine (CMM), PC DMIS software, three different optical scanners and GOM Inspect software. Results obtained using CMM were selected for reference and their comparison with the results obtained with scanners was conducted. It was noted that the differences between measured deviations exist and that further research should be focused on more precise defining and monitoring of conditions in measurement environment as well as the selection of the method of approximation and surface processing in order to increase the accuracy of the inspection with the 3D scanning device. A brief overview of the inspection procedure, inspection devices, scanning and surface reconstruction was also provided as well as the existing software applications for inspection.

Suggested Citation

  • Lazarević, Dragan & Nedić, Bogdan & Jović, Srđan & Šarkoćević, Živče & Blagojević, Milan, 2019. "Optical inspection of cutting parts by 3D scanning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
  • Handle: RePEc:eee:phsmap:v:531:y:2019:i:c:s0378437119307228
    DOI: 10.1016/j.physa.2019.121583
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119307228
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2019.121583?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Florin Popișter & Daniela Popescu & Ancuţa Păcurar & Răzvan Păcurar, 2021. "Mathematical Approach in Complex Surfaces Toolpaths," Mathematics, MDPI, vol. 9(12), pages 1-13, June.
    2. Paulina Kujawa & Krzysztof Chudy & Aleksandra Banasiewicz & Kacper Leśny & Radosław Zimroz & Fabio Remondino, 2023. "Porosity Assessment in Geological Cores Using 3D Data," Energies, MDPI, vol. 16(3), pages 1-16, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:531:y:2019:i:c:s0378437119307228. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.