Authors

Abstract

In view of the problems such as the lack of comprehensive analysis of working parameters and structural parameters and the imperfection of the atomization model in existing studies，a dual-layer centrifugal atomizing nozzle was designed to optimize the droplet volume median diameter and droplet spectrum width. The key influencing factors, including atomizing disc speed, flow rate, and the number of atomizing teeth, were selected for optimization. Both single-factor and three-factor, three-level response surface optimization experiments were conducted to determine the optimal number of atomizing teeth for different combinations of disc speed and flow rate. Furthermore, with the spray width as the objective function, a Box-Behnken experimental design was employed to investigate the effects of atomizing disc speed, flow rate, and spray height on the atomization performance of the centrifugal nozzle. A multiple quadratic response surface regression model for spray width was also developed. The results indicated that both individual factors and their interactions had a significant impact on the droplet volume median diameter, droplet spectrum width, and spray width. The optimized number of atomizing teeth was found to be 50, and the adjusted R-squared values for the above three regression equations were 0.9977, 0.9893, and 0.9485, respectively. This study provides a theoretical basis for optimizing the nozzle structure and improving the quality of plant protection operations.

Abstract in Chinese

针对现有研究中喷头工作参数和结构参数综合分析不足、雾化模型不完善的问题，本文设计了一种基于响应面法的双层离心式雾化喷头，旨在优化雾滴体积中径和雾滴谱宽度。研究选取雾化盘转速、流量和雾化齿个数作为关键影响因素，通过单因素和三因素三水平响应面优化试验，得到了不同转速和流量组合下雾化齿的最佳数量。进一步，以优化后的喷幅为目标函数，采用Box-Behnken试验分析了雾化盘转速、流量和喷雾高度对离心喷头雾化性能的影响，并构建了喷幅的多元二次响应面回归模型。结果表明，单因素及各因素间交互作用对雾滴体积中径、雾滴谱宽度和喷幅均具有显著影响。优化后的雾化齿数量为50，雾滴体积中径、雾滴谱宽度、喷幅的校正决定系数分别为0.9977、0.9893、0.9485，表明模型拟合效果良好。本研究为喷头结构优化和提升航空植保作业质量提供了理论依据和指导。