EconPapers    
Economics at your fingertips  
 

Numerical Simulation of Electrostatic Spray-painting Processes in the Automotive Industry

Q. Ye, J. Domnick, A. Scheibe and K. Pulli
Additional contact information
Q. Ye: Universität Stuttgart, Institut für Industrielle Fertigung und Fabrikbetrieb
J. Domnick: Fraunhofer Institute Manufacturing Engineering and Automation
A. Scheibe: Fraunhofer Institute Manufacturing Engineering and Automation
K. Pulli: Universität Stuttgart, Institut für Industrielle Fertigung und Fabrikbetrieb

A chapter in High Performance Computing in Science and Engineering’ 04, 2005, pp 261-275 from Springer

Abstract: Abstract The present annual report summarises ongoing investigations performed at the Institut für Industrielle Fertigung und Fabrikbetrieb Universität Stuttgart (IFF) on the numerical simulation of spray painting in the automotive industry. Two examples, i.e. powder coating simulation using a corona spray gun and spray-painting simulation with high-speed rotary bell are showed. Numerical models for electrostatically supported painting processes were implemented in Fluent, a commercial CFD code based on an unstructured finite volume mesh. These models account for all important effects involved in the relevant physical processes, being able to predict the film thickness distribution and the paint transfer efficiency on the work piece. The calculations were carried out using VOLVOX-Cluster in the High Performance Computing Center Stuttgart.

Keywords: Work Piece; Reynolds Stress Model; Spray Painting; External Charge; Painting Process (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-26589-4_25

Ordering information: This item can be ordered from
http://www.springer.com/9783540265894

DOI: 10.1007/3-540-26589-9_25

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-28
Handle: RePEc:spr:sprchp:978-3-540-26589-4_25