一种超细雾化喷嘴的数值模拟及结构优化研究.docx

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Abstract:
In recent years, ultrafine mist atomization technology has been widely used in various industries such as agriculture, forestry, and disinfection due to its high efficiency and low cost. To improve the performance of the ultrafine mist spray nozzle, numerical simulations and structural optimizations are necessary. In this study, we simulated the flow field of the ultrafine mist spray nozzle and optimized its structure by using the ANSYS Fluent software. The simulation results show that the optimized ultrafine mist spray nozzle has a smaller resistance, lower pressure loss, and better uniformity of spray droplets.
Introduction:
Ultrafine mist atomization technology is an important tool in many industries such as agriculture, forestry, and disinfection. With the development of science and technology, the spray nozzle of ultrafine mist has become an important component of this technology. To improve its performance, numerical simulations and structural optimizations are necessary. In this paper, we will study the numerical simulation and structural optimization of ultrafine mist spray nozzles.
Method:
We used ANSYS Fluent software to simulate the flow field of the ultrafine mist spray nozzle. The model was created according to the actual structure of the ultrafine mist spray nozzle. By adjusting the simulation parameters, we obtained the velocity distribution and pressure distribution of the nozzle. Then, we optimized the structure of the nozzle by changing its design parameters and re-simulating the flow field.
Results:
The simulation results show that the optimized ultrafine mist spray nozzle has a smaller resistance, lower pressure loss, and better uniformity of spray droplets than the original nozzle. The optimized nozzle has a smaller outlet diameter, a larger convergent angle, and a smaller divergence angle. The droplet size of the optimized nozzle has a more uniform distribution.
Discussion:
The improvement of the performance of the ultrafine mist spray nozzle depends on the optimization of its structure. The optimized nozzle has a smaller outlet diameter, a larger convergent angle, and a smaller divergence angle, which can reduce the resistance and pressure loss of the nozzle. At the same time, the optimized nozzle has a more uniform droplet size distribution, which is beneficial to improve the efficiency of spraying.
Conclusion:
In summary, we simulated the flow field of the ultrafine mist spray nozzle and optimized its structure by using the ANSYS Fluent software. The simulation results show that the optimized ultrafine mist spray nozzle has a smaller resistance, lower pressure loss, and better uniformity of spray droplets. With the development of science and technology, the optimized ultrafine mist spray nozzle will have a broader application prospect in various industries.