Transient Dip Paint Simulation of Entire Car Bodies within One Day

2015 ◽  
Vol 8 (2) ◽  
pp. 523-533 ◽  
Author(s):  
Martin Schifko ◽  
Hans Steiner ◽  
Daniela Fellhofer ◽  
Xinghua Song ◽  
Kevin Verma ◽  
...  
Keyword(s):  
Paint Simulation

Development of a Full Vehicle Electrocoat Paint Simulation Tool

2009 ◽  
Vol 2 (1) ◽  
pp. 234-240 ◽  
Author(s):  
Kevin Ellwood ◽  
Janice L. Tardiff ◽  
Leonard J. Gray ◽  
Patrick Gaffney ◽  
Jacob Braslaw ◽  
...  
Keyword(s):  
Simulation Tool ◽  
Full Vehicle ◽  
Paint Simulation

scholarly journals Realistic paint simulation based on fluidity, diffusion, and absorption

2013 ◽  
Vol 24 (3-4) ◽  
pp. 297-306 ◽  
Author(s):  
Mi You ◽  
Taekwon Jang ◽  
Seunghoon Cha ◽  
Jihwan Kim ◽  
Junyong Noh
Keyword(s):  
Simulation Based ◽  
Paint Simulation

Visual comparison testing of automotive paint simulation

2015 ◽  
Author(s):  
Gary Meyer ◽  
Hua-Tzu Fan ◽  
Christopher Seubert ◽  
Curtis Evey ◽  
Jan Meseth ◽  
...  
Keyword(s):  
Visual Comparison ◽  
Automotive Paint ◽  
Paint Simulation

Automotive Spray Paint Simulation

2008 ◽  
pp. 998-1007 ◽  
Author(s):  
Jonathan Konieczny ◽  
John Heckman ◽  
Gary Meyer ◽  
Mark Manyen ◽  
Marty Rabens ◽  
...  
Keyword(s):  
Paint Simulation

scholarly journals Comparison of the Results of Modeling a Dispersed Medium by Wave and Ray Methods

2021 ◽  
Author(s):  
Sergey Georgievich Pozdnyakov ◽  
Sergey Valentinovich Ershov ◽  
Nikolay Borisovich Deryabin ◽  
Alexey Gennadievich Voloboy
Keyword(s):  
Ray Tracing ◽  
Paint Layer ◽  
Light Transport ◽  
Mirror Reflection ◽  
Wave Optics ◽  
Propagation Of Light ◽  
Dispersed Medium ◽  
Comparison Of The Results ◽  
Paint Simulation ◽  
Individual Particles

A large number of works on dispersed medium modeling use either pure ray optics or light transport equation in which propagation of light obeys geometric optics while scattering properties of the medium can be either calculated with wave optics or measured. In either case the distance between individual particles must be much greater than wavelength. At the same time current computer power allows to simulate paint layer with wave optics. We decided to compare paint simulation done by the scalar wave approach and by ray tracing with individual particles. One of the goals of this work is to verify the correctness of ray tracing results for various sizes of metal flakes used often in production of metallic or pearlescent paints. Ray tracing had been done in two variants. One assumes the flakes have perfectly mirror reflection, while in the other variant the reflection is slightly diffuse with the angular distribution taken from the Fraunhofer diffraction on thin disk. For not too large flakes results of these two approaches substantially differ. The second “hybrid” method is considerably closer to the wave optics results.

A Self-Consistent Transient Paint Simulation

2000 ◽  
Author(s):  
Ronald H. Miller ◽  
Gary S. Strumolo ◽  
Jake Braslaw
Keyword(s):  
Flow Rate ◽  
Target Location ◽  
Experimental Testing ◽  
Operating Conditions ◽  
Air Flow Rate ◽  
Self Consistent ◽  
The Many ◽  
Paint Simulation ◽  
Momentum Coupling ◽  
Discrete Mass

Abstract Optimizing the painting process involves understanding the many nonlinear dynamics that effect paint transfer efficiency (PTE) such as bell applicator design (bell cup and shaping air ring), operating conditions (shaping air flow rate, paint flow rate, electric potential, downdraft, and bell rotation speed), target location, and paint type. PTE optimization results in less experimental testing and improved paint quality. We have modified a numerical simulation to include self-consistent momentum coupling between a continuum and discrete mass particles, as well as the inclusion of a self-consistent electrostatic field. These modifications enable the simulation tool to address several seminal questions concerning PTE. Several simulations have been performed and the influence of self-consistent modeling is addressed in this paper.

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