当前位置: X-MOL 学术J. Coat. Technol. Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Initial droplet conditions in numerical spray painting by electrostatic rotary bell sprayers
Journal of Coatings Technology and Research ( IF 2.3 ) Pub Date : 2020-06-24 , DOI: 10.1007/s11998-020-00352-1
Nico Guettler , Philipp Knee , Qiaoyan Ye , Oliver Tiedje

In computational fluid dynamics, the modeling of paint application processes by electrostatic rotary bell sprayer is mostly performed using an Euler–Lagrange approach. The initial conditions of the discrete phase—position, velocity, size, and charge—have an essential influence on the resulting film thickness distribution and the total charge transferred to the object. Typically, so-called injection models are used to specify these initial conditions, whereby the determination of the injection model coefficients is crucial. In this paper, a framework is proposed that combines experimental input data, an injection model, and a metamodel-based optimization. The painting tests for the generation of input and validation data were carried out in a technical center in the industrial standard. The simulations were performed using ANSYSFluent. Initial droplet conditions could efficiently be determined via the framework so that the painting-specific objectives were achieved with reasonable accuracy. In addition to the framework, a turbulence study of the strongly swirled shaping air of this atomizer was carried out, whereby a substantial underestimation of the axial air velocity was found in the turbulence models being investigated. The initial droplet conditions were also used in this study to draw conclusions about the accuracy of the airflow simulation. The proposed framework can be adapted to other solvers and efficiently finds injection model coefficients for other paint applicators.



中文翻译:

静电旋转钟罩喷涂机在数字喷涂中的初始液滴条件

在计算流体动力学中,静电旋转钟形喷涂机对涂料施加过程的建模主要使用欧拉-拉格朗日方法进行。离散相的初始条件(位置,速度,大小和电荷)对所得的膜厚分布和转移到物体上的总电荷具有至关重要的影响。通常,使用所谓的喷射模型来指定这些初始条件,由此确定喷射模型系数至关重要。在本文中,提出了一个结合实验输入数据,注入模型和基于元模型的优化的框架。用于生成输入和验证数据的绘画测试是在工业标准的技术中心内进行的。使用ANSYSFluent进行了仿真。可以通过框架有效地确定初始液滴条件,从而以合理的精度实现特定于绘画的目标。除了框架之外,还对该雾化器的强烈涡旋成形空气进行了湍流研究,从而在研究的湍流模型中发现轴向空气速度的明显低估。初始液滴条件也用于本研究中,以得出有关气流模拟精度的结论。所提出的框架可以适用于其他求解器,并有效地找到其他涂料施加器的喷射模型系数。对该雾化器的强烈涡旋形空气进行了湍流研究,从而在研究的湍流模型中发现轴向空气速度明显低估。初始液滴条件也用于本研究中,以得出有关气流模拟精度的结论。所提出的框架可以适用于其他求解器,并有效地找到其他涂料施加器的喷射模型系数。对该雾化器的强烈涡旋形空气进行了湍流研究,从而在研究的湍流模型中发现轴向空气速度明显低估。初始液滴条件也用于本研究中,以得出有关气流模拟精度的结论。所提出的框架可以适用于其他求解器,并有效地找到其他涂料施加器的喷射模型系数。

更新日期:2020-06-25
down
wechat
bug