Virtual PaintShop - Simulation of Oven Curing

Reference number
Funding from Vinnova SEK 4 600 000
Project duration October 2016 - April 2020
Status Ongoing
Venture FFI - Sustainable production
Call 2015-06854-en

Purpose and goal

The paintshop is often a bottleneck in production and the processes are fine-tuned based on testing on numerous prototypes. To meet the future demands there is a great need to improve the product preparation process. The aim is to develop methods, techniques and software, and supporting measurement methodology, for simulation of paint curing in IR and convective ovens. The goal is to assist the industry to further develop and optimize their surface treatment to be more energy and cost efficient; to have a shorter lead time in product development; and to give a higher product quality.

Expected results and effects

The project will result in software for oven curing simulation that supports and accelerates the product development in automotive paint shops. The commissioning time for the oven curing processes of new models is expected to be reduced by 25%. Furthermore, the environmental impact will be reduced since significantly less prototypes need to be physically tested. The process optimization is expected to reduce the energy requirement in the ovens by 10% and yield a more uniform curing that improves product quality, and also yields a better work environment.

Planned approach and implementation

The project will be performed by a research team with proven expertise in the development of fast and efficient algorithms for simulation of manufacturing processes. The project is divided in seven work packages that address the development of methods, algorithms and software, the measurement methodology, guidelines for material choices and combinations, exploitation of the project results, and the project management. The IPS software will be used as research platform and be available to all project partners to secure a good knowledge transfer between companies and institutes.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 8 January 2019

Reference number 2016-03371

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