This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Computational Analysis of Spray Pre-treatment in Automotive Applications
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 14, 2020 by SAE International in United States
Annotation ability available
The automotive coating industry consists of several processes targeting the reliability and longevity of the manufactured Body-In-White (BIW) with process optimization playing a key role. Pre-treatment of BIW is one of the important aspects and this involves processes in the paint shop and body-in-white shop. The relevance of cleaning every part of the BIW is well known in the industry, and we will focus on the spray wash processes. While the industry currently relies on experiences from previous designs and experimental observations from model studies, this drastically slows down process optimization for new car models. Recent developments in Computer Aided Engineering (CAE) industry has shown capability to perform reliable studies using computer models that speed up processes. The current study focuses on the Computational Fluid Dynamic (CFD) evaluation of spray washing of a BIW using a meshless method known as Smoothed Particle Hydrodynamics (SPH).
The study specifically discusses simulation of a washing process, where a car part is moving through pre-treatment line. Using the Lagrangian based fully meshless SPH method, the fluid dynamic aspects of the problem is simulated. The solver is based on a Predictive-Corrective Incompressible (PCISPH) formulation of SPH, which obtains instantaneous physical properties of the fluids and their impact on the solids. The mass-based domain discretization ensures only lesser computational cost in domain partially filled with fluids. Additionally, algorithms implemented on Graphics Processing Unit (GPU) makes the simulations faster and increases the scope for scalability.
CitationMenon, M., Baig, S., and Verma, K., "Computational Analysis of Spray Pre-treatment in Automotive Applications," SAE Technical Paper 2020-01-0479, 2020, https://doi.org/10.4271/2020-01-0479.
- “VDA 19.1 Technical Cleanliness - Particulate Contamination of Functionally Relevant Automotive Components,” 2015.
- Kymal, C. , “The ISO/TS 16949 Implementation Guide (2004),” Gaining Value from Your ISO, TS 16949, 2004.
- Monaghan, J.J. , “Smoothed Particle Hydrodynamics,” Annual Review of Astronomy and Astrophysics 30(1):542-574, 1992.
- Monaghan, J.J. , “Smoothed Particle Hydrodynamics and Its Diverse Applications,” Annual Review of Fluid Mechanics 4:323-346, 2012.
- Liu, G.-R. and Liu, M.B. , Smoothed Particle Hydrodynamics: A Meshfree Particle Method (World Scientific, 2003).
- Violeau, D. , Fluid Mechanics and the SPH Method: Theory and Applications (Oxford University Press, 2012).
- Szewc, K., Pozorski, J., and Minier, J.P. , “Analysis of the Incompressibility Constraint in the Smoothed Particle Hydrodynamics Method,” International Journal of Numerical Methods in Engineering 92(4):343-369, 2012.
- Wendland, H. , “Piecewise Polynomial, Positive Definite and Compactly Supported Radial Functions of Minimal Degree,” Advances in Computational Mathematics 4(1):389-396, 1995.
- Colagrossi, A. and Landrini, M. , “Numerical Simulation of Interfacial Flows by Smoothed Particle Hydrodynamics,” Journal of Computational Physics 191(2):448-475, 2003.
- Szewc, K., Taniere, A., Pozorski, J., and Minier, J.-P. , “A Study on Application of Smoothed Particle Hydrodynamics to Multi-Phase Flows,” International Journal of Nonlinear Sciences and Numerical Simulation 13(6):383-395, 2012.
- Monaghan, J.J. , “Sph and Riemann Solvers,” Journal of Computational Physics 136(2):298-307, 1997.
- Solenthaler, B. and Pajarola, R. , “Predictive-Corrective Incompressible SPH,” ACM Transactions on Graphics (TOG) 28(3):1-6, 2009.
- Peng, C., Bauinger, C., Szewc, K., Wu, W. et al. , “An Improved Predictive-Corrective Incompressible Smoothed Particle Hydrodynamics Method for Fluid Flow Modelling,” Journal of Hydrodynamics 31(4):654-668, 2019.
- Kolb, A. and Cuntz, N. , “Dynamic Particle Coupling for GPU-Based Fluid Simulation,” in Symposium on Simulation Technique, 2005.
- Harada, T., Koshizuka, S., and Kawaguchi, Y. , “Smoothed Particle Gydrodynamics on GPUs,” in Computer Graphics International, Perth, Australia, 2007.
- Hérault, A., Bilotta, G., and Dalrymple, R.A. , “SPH on GPU with CUDA,” Journal of Hydraulic Research 48:74-79, 2010.
- Dominguez, J.M., Crespo, A.J., Valdez-Balderas, D., Rogers, B.D. et al. , “New Multi-GPU Implementation for Smoothed Particle Hydrodynamics on Heterogeneous Clusters,” Computer Physics Communications 184(8):1848-1860, 2013.
- Verma, K., Szewc, K., and Wille, R. , “Advanced Load Balancing for SPH Simulations on Multi-GPU Architectures,” in 2017 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, 2017.
- Verma, K., Peng, C., Szewc, K., and Wille, R. , “A Multi-GPU PCISPH Implementation with Efficient Memory Transfers,” in IEEE High Performance Extreme Computing Conference (HPEC), 2018.