Design requirements for a modular framework of industrial surface defect detection system designs in the context of machined, automotive workpieces

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Marco Wagenstetter - , BMW Group (Author)
  • Thomas Aicher - , BMW Group (Author)
  • Arvid Hellmich - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Steffen Ihlenfeldt - , Chair of Machine Tools Development and Adaptive Controls, Fraunhofer Institute for Machine Tools and Forming Technology (Author)

Abstract

The planning phases of industrial surface defect detection systems for machined, automotive workpieces are time-consuming and require project teams comprised of experts from different disciplines in order to achieve optimal systems regarding the prioritized objectives. To master this challenge current research is aiming for flexible inspection system concepts that are not application-specific and thus can be used for a range of industry-dependent specifications without the necessity to complete each planning phase from the beginning. This paper presents a thorough analysis of the influencing factors at the beginning of the inspection planning process of an industrial surface defect detection system for machined, automotive workpieces. Based on this analysis, design requirements for a modular framework for industrial surface defect detection system designs in this sector are derived and contextualized with available system components. Finally, an outlook for future research is presented with the goal to further increase the flexibility of industrial surface defect detection systems.

Details

Original languageEnglish
Title of host publication2023 IEEE 21st International Conference on Industrial Informatics, INDIN 2023
EditorsHelene Dorksen, Stefano Scanzio, Jurgen Jasperneite, Lukasz Wisniewski, Kim Fung Man, Thilo Sauter, Lucia Seno, Henning Trsek, Valeriy Vyatkin
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (electronic)9781665493130
Publication statusPublished - 2023
Peer-reviewedYes

Publication series

SeriesIEEE International Conference on Industrial Informatics (INDIN)
Volume2023-July
ISSN1935-4576

Conference

Title2023 IEEE 21st International Conference on Industrial Informatics
Abbreviated titleINDIN 2023
Conference number21
Duration17 - 20 July 2023
CityLemgo
CountryGermany

Keywords

Keywords

  • industrial surface defect detection, machining, system design