Predicting spray drift reduction classification of flat-fan nozzles based on droplet size spectrum

Authors

  • Longlong Li 1. Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China 2. National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China
  • Ruirui Zhang 2. National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China 3. National Center for International Research on Agricultural Aerial Application Technology, Beijing 100097, China
  • Qing Tang 1. Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China 2. National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China
  • Wenlong Yan 4. School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China
  • Chenchen Ding 2. National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China 3. National Center for International Research on Agricultural Aerial Application Technology, Beijing 100097, China
  • Gang Xu 2. National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China 3. National Center for International Research on Agricultural Aerial Application Technology, Beijing 100097, China
  • Tongchuan Yi 1. Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China 3. National Center for International Research on Agricultural Aerial Application Technology, Beijing 100097, China

DOI:

https://doi.org/10.25165/ijabe.v18i6.9727

Keywords:

flat-fan nozzle, spray drift potential reduction, classification, droplet size, wind tunnel

Abstract

Spray drift reduction classification evaluation provides theoretical support and technical basis for chemical precision applications. Traditional measurement of spray drift reduction relies on the wind tunnel experiment, which involves a complex testing process and a long measurement cycle. In this study, the feasibility of using a droplet size spectrum to implement drift reduction classification of flat-fan nozzles was studied. A phase doppler interferometry (PDI) was used to determine the droplet size spectra of seven types of flat-fan nozzles, including DV, V75%, V100%, V150%, and V200%, and the calculated drift reduction classifications were compared with the measurements obtained by the wind tunnel method. The results showed that droplet-spectrum-based spray drift potential reduction classification was highly correlated with the results obtained from the wind tunnel method, with the lowest correlation coefficient being 0.969. Spray drift potential reduction classification represented by V200% shows the highest consistency with the wind tunnel measurements. This study confirms the positive potential of using droplet size spectra to estimate spray drift, and provides a method for the classification of agricultural nozzles. Key words: flat-fan nozzle; spray drift potential reduction; classification; droplet size; wind tunnel DOI: 10.25165/j.ijabe.20251806.9727 Citation: Li L L, Zhang R R, Tang Q, Yan W L, Ding C C, Xu G, et al. Predicting spray drift reduction classification of flatfan nozzles based on droplet size spectrum. Int J Agric & Biol Eng, 2025; 18(6): 24–32.

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Published

2025-12-26

How to Cite

Li, L., Zhang, R., Tang, Q., Yan, W., Ding, C., Xu, G., & Yi, T. (2025). Predicting spray drift reduction classification of flat-fan nozzles based on droplet size spectrum. International Journal of Agricultural and Biological Engineering, 18(6), 24–32. https://doi.org/10.25165/ijabe.v18i6.9727

Issue

Vol. 18 No. 6 (2025): IJABE

Section

Applied Science, Engineering and Technology

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