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Final Inspection and Quality Analysis

Research project Surface treatment (production) of commercial (trucks, cars, busses etc.) bodies is highly automated except for the inspection and evaluation of what to repair and adjust. AB Volvo has together with Umeå University and Volvo Cars identified a need for a real-time automated quality inspection and repair system for painted vehicle bodies.

The aim of the FIQA research project is to develop a pilot system for defect detection and root cause analysis, in order to minimize the consequences of defects and improve the quality of delivered products with an efficient and automated statistical process quality control system. The proposed project will contribute to the prioritized research area within FFI, "Sustainable Production Technology - Surface treatment and Painting" by - reducing cost and environmental impact by less repair - increasing competence within automated statistical process quality control system through knowledge transfer to Swedish industry and academia - developing innovative methods and approaches that combine expertise in mathematical statistics, signal and image processing, and manufacturing processes for surface treatment - establishing a long-term cooperation between Umeå University and the companies involved, Volvo Trucks and Volvo Cars The project will deliver results linked to Swedish automotive industry, method development and evaluation within the area of automated defect detection, automated alarm system and root cause analysis, and results linked to the general task of implementing an automated quality control system.

Head of project

Jun Yu
Professor
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Patrik Ryden
Senior lecturer (associate professor)
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Project overview

Project period

2016-01-01 2019-06-30

Funding

Vinnova, 2016-2018: SEK 7,235,000 kr

Research subject

Electrical, electronic and system engineering, Statistics

Project description

Surface treatment (production) of commercial (trucks, cars, busses etc.) bodies is highly automated except for the inspection and evaluation of what to repair and adjust. AB Volvo has together with Umeå University and Volvo Cars identified a need for a real-time automated quality
inspection and repair system for painted vehicle bodies.

The aim of the FIQA research project is to develop a pilot system for defect detection and root cause analysis, in order to minimize the consequences of defects and improve the quality of delivered products with an efficient and automated statistical process quality control system.

The proposed project will contribute to the prioritized research area within FFI, "Sustainable Production Technology - Surface treatment and Painting" by
- reducing cost and environmental impact by less repair: forst in paint then in other processes and sites
- increasing competence within automated statistical process quality control system through knowledge transfer to Swedish industry and academia
- Increasing competence when we combine mathematical statistics, signal and image processing and manufacturing processes: to enable further activities within “Real time monitoring connected to Big data” and adaptive systems
- developing innovative methods and approaches that combine expertise in mathematical statistics, signal and image processing, and manufacturing processes for surface treatment
- establishing a long-term cooperation between Umeå University and the companies involved, Volvo Trucks and Volvo Cars: establish Volvo Cab competence center as a partner in FFI, VINNOVA and EU collaborative projects.

The project will deliver results linked to Swedish automotive industry, method development and evaluation within the area of automated defect detection, automated alarm system and root cause
analysis, and results linked to the general task of implementing an automated quality control system.