The Simulation of Electrostatic Spray Painting Process with High-Speed Rotary Bell Atomizers. Part II: External Charging

2006 ◽  
Vol 23 (5) ◽  
pp. 408-416 ◽  
Author(s):  
Joachim Domnick ◽  
Andreas Scheibe ◽  
Qiaoyan Ye
2013 ◽  
Vol 365-366 ◽  
pp. 37-41
Author(s):  
Hong Zhi Han ◽  
Yan Song An ◽  
Da Wei Zhang ◽  
Wei Zhu

The high-speed spinning bell electrostatic automatic machine is the key equipment of the automotive coating line. A simplified mathematical model of the process of spraying aggradation was proposed by analyzing the working principle of electrostatic spray. Furthermore, the relationships among spraying distance, spraying speed and number of spraying pattern overlap were investigated and revealed. And the expressions for the velocities of both side spraying machine and top spraying machine are derived. This work provides an important theoretical basis for the spraying trajectory planning .


1990 ◽  
Vol 25 (3) ◽  
pp. 265-275 ◽  
Author(s):  
G.M.H. Meesters ◽  
C.A.P. Zevenhoven ◽  
J.F.J. Brons ◽  
P.J.T. Verheijen

Author(s):  
Hua-Tzu Fan ◽  
Harry Kuo ◽  
Joseph Simmer

High-speed electrostatic rotary bells are widely used in the automotive industry as they provide high quality paint films with better transfer efficiency compared to air-atomizing guns. However, due to its highly turbulent spray pattern, transfer efficiency is still not ideal, i.e. some portion of paint will not reach intended target surfaces and becomes overspray. Numerical simulation of the electrostatic spraying process provides a tool to model this process as well as a way to optimize transfer efficiency. Currently, the state-of-the-art simulation model can simulate the flying trajectories of paint droplets from the edge of the rotating bell cup to the target surfaces. It requires some input information to start the simulation. The input information includes paint droplet size, velocity, and charge-to-mass ratio. Due to its large number of droplets, distributions based on droplet diameters are used to represent the entire droplet population. This paper describes experimental and mathematical methods to measure and calculate paint droplet size, velocity, and charge-to-mass ratio distributions. The resulting information can then be organized and used as the input data files for Electrostatic spray painting simulation.


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