Title
Paint deposition modeling for trajectory planning on automotive surfaces
Abstract
This research is focused on developing trajectory planning tools for the automotive painting industry. The geometric complexity of automotive surfaces and the complexity of the spray patterns produced by modern paint atomizers combine to make this a challenging and interesting problem. This paper documents our efforts to develop computationally tractable analytic deposition models for electrostatic rotating bell (ESRB) atomizers, which have recently become widely used in the automotive painting industry. The models presented in this paper account for both the effects of surface curvature as well as the deposition pattern of ESRB atomizers in a computationally tractable form, enabling the development of automated trajectory generation tools. We present experimental results used to develop and validate the models, and verify the interaction between the deposition pattern, the atomizer trajectory, and the surface curvature. Limitations of the deposition model with respect to predictions of paint deposition on highly curved surfaces are discussed. Note to Practitioners-The empirical paint deposition models developed herein, which are fit to experimental data, offer a significant improvement over models that are typically used in industrial robot simulations. The improved simulation results come without the computational cost and complexity of finite element methods. The models could be incorporated, as is, into existing industrial simulation tools, provided the users are cognizant of the model limitations with respect to highly curved surfaces. Although the models are based on readily available information, incorporating the models into existing robot simulation software would likely require support from the software vendor.
Year
DOI
Venue
2005
10.1109/TASE.2005.851631
Automation Science and Engineering, IEEE Transactions
Keywords
Field
DocType
automobile industry,industrial manipulators,painting,path planning,position control,spray coating techniques,spray coatings,analytic deposition models,atomizer trajectory,automated trajectory generation tools,automotive painting industry,automotive surfaces,deposition pattern,electrostatic rotating bell atomizers,geometric complexity,paint atomizers,paint deposition modeling,spray pattern complexity,surface curvature,trajectory planning tools,Automotive painting,coverage,trajectory planning
Motion planning,Curvature,Simulation software,Computer science,Mechanical engineering,Control engineering,Finite element method,Industrial robot,Robot,Trajectory,Automotive industry
Journal
Volume
Issue
ISSN
2
4
1545-5955
Citations 
PageRank 
References 
19
1.47
12
Authors
5
Name
Order
Citations
PageRank
David C. Conner117416.75
Aaron Greenfield2978.49
Prasad N. Atkar315812.25
Alfred A. Rizzi41208179.03
Howie Choset52826257.12