The Virtual Paint Shop; Powder and Externally Charged Wet Paint

Project time: 2012 – 2015

Budget: 7 800 000 SEK

Funding: FFI – Strategic Vehicle Research and Innovation

The surface treatment is the process in an automotive factory that consumes most energy, water and chemicals, and produces most waste and pollution

Roughly 40% of the energy in major OEM operations is used in the paint shop with an average consumption of 700-900 kWh per car body. Within the paint shop the dominating energy cost is the ventilation and heating of the air in the booth (50%) followed by the ovens (25%). Virtual tools are frequently used to support an effective product and production realization in other parts of the automotive factory, but that is not the case in the paint shop. In the paint shop the product preparation, when robot paths and process parameters are fine-tuned, is a slow and costly trial-and-error procedure, where a large number of prototypes are painted, washed and painted again etc. There is therefore a great need to improve the product preparation process and this is absolutely necessary to meet the future demands on fast adaption and tailored solutions for new material combinations and products. The possibility to perform systematic simulations is then essential and contributes to sustainable production by reducing the number of prototypes that needs to be painted, and by making it possible to optimize the processes with respect to quality, cost and environmental impact. The unique methods and tools for simulation of spray painting, which were developed in earlier FFI and MERA project, have in this projects been extended to simulation of powder and externally charged wet paint, and support companies to develop and optimize their surface treatment
 to be more environmentally friendly,
 to be more energy efficient,
 to be more cost efficient,
 to give a higher product quality result.
The main goals of the project were
 Methods and algorithms for simulation of corona discharge at paint applicators
 Methods and algorithms for simulation of paint particle charging dynamics
 Methods and algorithms for velocity tuning along a given robot path to optimize the paint coverage
 Techniques for electrostatic measurements of externally charged paint applicators
 Further development of Paint Center, a unique facility where the industry can evaluate their painting processes off-line
 Simulation software for fast and accurate simulation of externally charged powder and wet paint
The project results show that it is possible to accurately simulate spray painting of a truck cab or a car in only a few hours on a standard computer. This is an extreme improvement compared to earlier approaches that require weeks of simulation time. Unique algorithms for coupled simulations of air flows, electrostatic fields and charged paint particles have made this possible. Several successful measurements campaigns have been performed on relevant industrial cases with very good results. The fast simulation time make it possible to use such detailed simulations in the product preparation and off-line programming of the paint robots. The extensions in this project facilitate a wider use of the software within the automotive industry and also to other branches and SMEs. A big challenge in the project has been the modeling of the corona discharge at the electrode tip and the charging of the paint particles as they pass through the Corona region. The complex physics puts high demands on the numerical methods. The novel methods developed in this project are much more robust than the ad-hoc methods found in the literature and also relevant to other applications such as e.g. electrostatic precipitators.
Furthermore, new methods and techniques to adapt the robot speed along the paint to optimize the resulting paint coverage have been developed. The results show a reduction of the thickness variation with a factor of at least 2-3, which means a significant potential to reduce the material consumption and increase quality. An analysis of the fork lift case showed a potential to reduce paint material consumption by 20% still keeping the desired minimum thickness level. In future projects the results will be generalized such that also other process parameters can be changed along the robot path, and even the path itself. The project results are ready for industrial implementation and have been commercialized in the software IPS Virtual Paint, which is used by Volvo Cars, AB Volvo, Scania, Daimler and GM. The spin-off company IPS IBOFlow AB, founded in 2014, will handle the marketing, sales and support. Volvo Cars is using the software in production and it was for example used successfully to program the paint robots for the new XC90 car model.
The long term funding from Vinnova has made it possible to build-up a world-leading research team for paint and surface treatment processes with expertise in modeling and simulation, advanced measurement and validation, and industrial process knowledge.

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