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Tytuł artykułu

3D Object Digitization Devices in Manufacturing Engineering Applications and Services

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The rapid development of CAD 3D systems has led to the development of solutions enabling the physical achievement of the designed object, already at the design stage. Such a solution is the rapid prototyping method, intended for fast, precise and repeatable production thanks to additive technology. The first basic step of this method is a 3D scan. It is a technique that analyzes a real object in order to collect data about its basic (geometric) and additional (e.g. color) features. The collected data is used to generate three-dimensional, virtual models. Scanning can be performed in various ways using different devices. The aim of the article is to review the available technologies for digitizing 3D objects and to compare them in the context of individual application areas. It presents selected tools and software that will economically and efficiently increase the range of applications of digitization methods in the production process and offering various services on the market.
Rocznik
Strony
450--463
Opis fizyczny
Bibliogr. 15 poz., fig.
Twórcy
autor
  • Silesian University of Technology, Poland
  • Academy WSB, Poland
Bibliografia
  • 1. 3dnatives.com, [dostęp online: 17.07.2020], https://www.3dnatives.com/en/top-10-low-cost-3d-scanners280320174/#!.
  • 2. Aniwaa.com, [dostęp online: 17.07.2020], https://www.aniwaa.com/buyers-guide/3d-scanners/best-3d-scanner.
  • 3. Artec3d.com, [dostęp online: 20.07.2020], https://www.artec3d.com/portable-3d-scanners/artec-eva.
  • 4. Buchwald P., Rostański M., Mączka K.: Virtual reality and mobile devices in 3d objects designing and prototyping. Helion Gliwice Publishing 2019, pp. 645-654.
  • 5. Chen J., Wu X., Yu Wangc M., Li X.: 3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithm. Optics & Laser Technology 45, 2013, pp. 414-423. https://doi.org/10.1016/j.optlastec.2012.06.015.
  • 6. Einscan.com, [dostęp online: 17.07.2020], https://www.einscan.com/desktop-3d-scanners/einscan-se/.
  • 7. Forum of FORBOT [dostęp online: 17.07.2020], https://forbot.pl/forum/topic/3716-czujniki-skaner-3d.
  • 8. Hp.com, [dostęp online: 19.07.2020], https://www8.hp.com/us/en/campaign/3Dscanner/overview.html.
  • 9. MatterAndForm.net, [dostęp online: 17.07.2020], https://matterandform.net/store/products/MFS1V2.
  • 10. Nowacki J., Sieczkiewicz N., Nocoń M.: Measurement of welding deformations using the 3D scanning methods. Badania Nieniszczące i Diagnostyka, 2018, pp. 3-6.
  • 11. Podlasiak P.: Checking the possibilities of kinect controller as a scanner for registration of color 3d point clouds. Archiwum Fotogrametrii, Kartografii i Teledetekcji 24, 2012, pp. 289-300.
  • 12. Rembała M.: Wykrywanie gestów z wykorzystaniem Microsoft Kinect, Praca dyplomowa inżynierska, Politechnika Warszawska, WEiTI, 2012/2013, pp. 9.
  • 13. Rocchini C., Cignoni P., Montani C., Pingi P., Scopigno R.: A low cost 3D scanner based on structured light. Computer Graphics Forum. Vol. 20. No. 3. Oxford, UK and Boston, USA: Blackwell Publishers Ltd, 2001.
  • 14. Salwierz A., Szymczyk T.: Methods of creating realistic spaces – 3D scanning and 3D modelling. Journal of Computer Sciences Institute, Publishing House of the Lublin University of Technology 14, 2019, pp. 101-108.
  • 15. Wrona M., Piotrowska W.: Nowe metody skanowania 3d na potrzeby inwentaryzacji geometrycznej pojazdów. TTS Technika Transportu Szynowego, 22, 2015, pp. 1692-1695.
Uwagi
EN
Publication supported by Own Schoolarship Fund of the Silesian University of Technology in year 2019/2020” (grant number 25/FSW18/0003-03/2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ff0d2e9f-5def-4f69-8d9f-5c099033b060
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