Multiobjective optimization of an ionizer nozzle structure based on RSM and CFD

作者：Zhang, Wei; Li, Yang; Li, Zhitao; Zeng, Min^*

来源：STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2024, 67(2): 18.

DOI：10.1007/s00158-024-03738-6

• Corona ionizer
• Response surface methodology
• Face-centered cubic design
• Computational fluid dynamics
• Multiobjective optimization

To improve the electrostatic elimination speed and ability of corona ionizers, the distance from the hole to the center of the tungsten needle R , the height of the inner wall H, and the distance from the tungsten needle to the inner wall L were selected as variables to optimize the structural parameters of the ionizer nozzle. The average flow rate V-a and flow field uniformity gamma were proposed as the responses to evaluate the performance of the ionizer. Response surface methodology (RSM) and face-centered cubic (CCF) design were used to systematically study the influence of structural parameters on the performance of the ionizer. A computational fluid domain model of the ionizer was established and simulated by computational fluid dynamics (CFD). Finally, the regression equations between V-a or gamma and structural parameters were obtained through multiple regression analysis. The result shows that the feasibility of using the flow field parameter as an index of the ion-izer is confirmed. By means of analysis of variance, the sensitivities of structural parameters affecting V-a are F(R) > F(L) > F(H ), and the sensitivities of structural parameters affecting gamma are F(L) > F(R) > F(H). The optimal structural parameters are R=5.998 mm, H=5.520 mm, and L=1.184 mm. With the optimum nozzle geometry, the static electricity elimination performance can be improved. The decay time is less than 2.5 s and the offset voltage is not more than 6 V when the ionizer B ventilation pressure is 0.2 MPa and the distance is 30-80 cm.