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High Accurate Heat Transfer Tasks on Example of Body in White Drying Process in Paint Shop
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 2, 2019 by SAE International in United States
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A challenging problem for any car industry is to completely dry the paint throughout the car body. The fulfillment of this task primarily depends on the accurate heat transfer between the car body and the fluid surrounding it. In the present study, we study the effect of thermal conductivity within the layers of thin sheets of the car body on transient heat transfer with the lattice Boltzmann method (LBM). The present investigation has been conducted using a three-dimensional (3D) incompressible thermal LB model using the D3Q19 lattice structure. A double distribution function approached is used where one distribution function stands for density distribution and other for temperature distribution. This model is also coupled with the multiple relaxation time (MRT) to increase the stability and accuracy of the solution. In our study, we first consider the heat transfer due to conduction and convection on the surface of car. Later, a test case has been set up for assembly line paint bake oven in which a car passes slowly through a large array of hot air jets. The numerical model of the oven is created by introducing multi nozzles at the top surface of the oven which provides hot air and heats up the car placed inside the oven body. Two different conditions i.e., static and moving oven are considered mimicking the behaviour of moving car.
- Saurabh Bhardwaj - ESS Engineering Software Steyr GmbH
- Ralf Euser - ESS Engineering Software Steyr GmbH
- Alexander Stadik - ESS Engineering Software Steyr GmbH
- Ernesto Monaco - ESS Engineering Software Steyr GmbH
- Vikas Kumar Sharma - ESS Engineering Software Steyr GmbH
- Ravi Kanth Borra - ESS Engineering Software Steyr GmbH
CitationBhardwaj, S., Euser, R., Stadik, A., Monaco, E. et al., "High Accurate Heat Transfer Tasks on Example of Body in White Drying Process in Paint Shop," SAE Technical Paper 2019-01-0185, 2019, https://doi.org/10.4271/2019-01-0185.
Data Sets - Support Documents
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