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Inline Process Control – a concept study of efficient in-line process control and process adjustment with respect to product geometry
Volvo Car Corporation Manufacturing Engineering.
Chalmers University of Technology.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. IS (Embedded Systems).ORCID iD: 0000-0002-5562-1424
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. IS (Embedded Systems).ORCID iD: 0000-0002-1547-4386
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2016 (English)In: Swedish Production Symposium 2016 SPS 2016, Lund, Sweden, 2016Conference paper, (Refereed)
Abstract [en]

All manufacturing processes have variation which may violate the fulfillment of assembly, functional, geometrical or esthetical requirements and difficulties to reach desired form in all areas. The cost for geometry defects rises downstream in the process chain. Therefore, it is vital to discover these defects as soon as they appear. Then adjustments can be done in the process without losing products or time. In order to find a solution for this, a project with the overall scope “development of an intelligent process control system” has been initiated. This project consists of five different work packages: Inline measurement, Process Evaluation, Corrective actions, Flexible tooling and demonstrator cell. These work packages address different areas which are necessary to fulfill the overall scope of the project. The system shall both be able to detect geometrical defects, propose adjustments and adjust simple process parameters. The results are demonstrated in a demo cell located at Chalmers University of Technology. In the demonstrator all the different areas have been verified in an industrial case study – assembly of GOR Volvo S80. Efficient offline programming for robot based measurement, efficient process evaluation based on case base reasoning (CBR) methodology, flexible fixtures and process adjustments based on corrective actions regarding in going part positioning.

Place, publisher, year, edition, pages
Lund, Sweden, 2016.
Keyword [en]
Smart assembly, digital plant, geometry variation, Off-line programming, path planning, flexible fixturing, case base reasoning, process analysis, geometry verification
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-33804OAI: oai:DiVA.org:mdh-33804DiVA: diva2:1048565
Conference
SPS 2016, the 7th Swedish Production Symposium, 25 Oct 2016, Lund, Sweden
Projects
AproC, Automated Process Control
Available from: 2016-11-21 Created: 2016-11-21 Last updated: 2016-12-27Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf