Influence law of structural parameters of pressure-swirl nozzle on atomization effect based on multiscale model

The dust pollution at the fully mechanized heading face has seriously threatened the health of the miners. As the main technical means, the outer spray of a roadheader has the problems of small coverage of the fog field and low dust removal efficiency. Based on the multiscale swirl atomization model of LES-VOF, this study simulated and analyzed the atomization process of the nozzle. The influence law of the diameter, the length and the circulation area ratio of the swirl chamber, and the swirl core angle on the swirl number and atomization effect were determined, and the nonlinear function relationship between variables was obtained. With the help of the BP neural network model, a new type of swirl nozzle is developed which is suitable for the outside spray system at the fully mechanized heading face. The experimental results show that the error between the predicted results of the new swirl nozzle and BP network model is less than 15%, the atomization angle theta(c) is 24.2 degrees, the average particle size D-32 is 64.43 mu m, and the effective range Reff is about 2.1 m. At the same time, the total dust removal efficiency and respirable dust removal efficiency of the new swirl nozzle at the driver's place are 61.10% and 63.85%, respectively, which are 21.69% and 20.92% higher than the original nozzle.

Automated summary

The health of miners has been seriously threatened by dust pollution at the fully mechanized heading face. The outer spray of a roadheader, as the main technical means, has issues such as limited fog coverage and low dust removal efficiency. Through simulation and analysis of the atomization process using a multiscale swirl atomization model, this study identified the influence of nozzle diameter, length, circulation area ratio, and swirl core angle on swirl number and atomization effect, and established a non-linear functional relationship between variables. A new type of swirl nozzle suitable for the outside spray system was developed using the BP neural network model. Experimental results showed that the predicted results of the new swirl nozzle had an error of less than 15% compared to the BP network model. The new swirl nozzle had an atomization angle of 24.2 degrees, an average particle size of 64.43 μm, and an effective range of approximately 2.1 m. Additionally, the total dust removal efficiency and respirable dust removal efficiency of the new swirl nozzle at the driver's place were 61.10% and 63.85%, respectively, which were 21.69% and 20.92% higher than the original nozzle.