Abstract
In automotive body-in-white production, geometry determining clamping technology is used. In order to counter deviations from the target geometries, fixtures are adjusted manually in an experience-based process that comprises iterative loops. Lately, AI based approaches have led to the question if they may reduce the time and material requirements of this process. This work provides an overview of literature that employs control methods for predicting adjustments of body shop fixtures. Applicability into automotive series production is evaluated and open requirements defined. Results show that there are multiple strategies that may help improve fixture adjustments in automotive industry.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
