Effect of Different Axial Fans Configurations on Airflow Rate

  • S. FaillaEmail author
  • E. Romano
  • D. Longo
  • C. Bisaglia
  • G. Schillaci
Conference paper
Part of the Lecture Notes in Civil Engineering book series (LNCE, volume 67)


The general objective of the research is to contribute to a fewer impacting methods for pest and disease management in tree crops, optimizing the air flows in relation to the canopy characteristics, and reducing the risks of drift. The aim of the work was to assess the airflow rate of different axial fan configurations in order to reduce energy consumption by assuring the adjustment of the right rate. Different configurations in terms of pitch angles and rotation speed of the blades as well as air outlet sections were taken into consideration. The tests were carried out at an Inspection Center for sprayers, Catania province (Italy) with a conventional sprayer machine. The methodology followed the ISO/FDIS 9898 International standard (1999) for the measurement of the flow rate at the suction side of the fan. A special frame was realised for measuring of air velocity at outlet side of the fan. In order to study the correlation between fan configuration and energy consumption a mechanical torque-meter and a speedometer were used. Preliminary results highlighted the performance of a fan used in sprayers for orchards and vineyard and tested to reducing energy consumption and environmental impact.


Sprayers Axial fan Airflow rate Energy consumption Environmental impact 



The authors thank R. Papa for her contribution during the tests. The activity presented in the paper is part of the research project titled “Innovazioni attraverso applicazioni ICT nel settore delle costruzioni rurali, della pianificazione del territorio agro-forestale e della meccanizzazione della difesa fitosanitaria. WP1—Sviluppo di tecniche e di applicazioni anche informatiche per l’innovazione nel settore della meccanizzazione della difesa fitosanitaria.” Piano della Ricerca 2016-2018 of the University of Catania (Italy).


  1. Andersson, I., Thor, M., & McKelvey, T. (2012). The torque ratio concept for combustion monitoring of internal combustion engines. Control Engineering Practice, 20(6), 561–568.CrossRefGoogle Scholar
  2. Cerruto, E., Failla, S., Longo, D., Manetto, G. (2016). Simulation of water sensitive papers for spray analysis. E-JOURNAL – CIGR, 18(4), 22–29. ISSN 1682-1130.Google Scholar
  3. Felsot, A. S., Unsworth, J. B., Linders, J. B. H. J., Roberts, G., Rautman, D., Harris, C., et al. (2010). Agrochemical spray drift; assessment and mitigation—A review. Journal of Environmental Science and Health, Part B, 46(1), 1–23.CrossRefGoogle Scholar
  4. Grella M., Gil E., Balsari P., Marucco P., & Gallart M. (2017). Advances in developing a new test method to assess spray drift potential from air blast sprayers. Spanish Journal of Agricultural Research, 15(3), e0207, 16.Google Scholar
  5. Hołownicki, R., Doruchowski, G., Swiechowski, W., Godyn, A., & Konopacki, P. J. (2017). Variable air assistance system for orchard sprayers; concept, design and preliminary testing. Biosystems Engineering, 163, 134–149.CrossRefGoogle Scholar
  6. International Standards ISO/FDIS 9898. (1999). Equipment for crop protection–Test methods for air-assisted sprayers for bush and tree crops.Google Scholar
  7. Miranda-Fuentes, A., Marucco, P., González-Sánchez, E. J., Gil, E., Grella, M., & Balsari, P. (2018). Developing strategies to reduce spray drift in pneumatic spraying in vineyards: Assessment of the parameters affecting droplet size in pneumatic spraying. Science of the Total Environment, 616–617, 805–815.CrossRefGoogle Scholar
  8. Moltó, E., Chueca, P., Moltó, E., Chueca, P., Garcerá, C., Balsari, P., et al. (2017). Engineering approaches for reducing spray drift. Biosystems Engineering, 154, 1–2.CrossRefGoogle Scholar
  9. Nuyttens, D., Baetens, K., De Schampheleire, M., & Sonck, B. (2007). Effect of nozzle type, size and pressure on spray droplet characteristics. Biosystems Engineering, 97(3), 333–345.CrossRefGoogle Scholar
  10. Qiu, W., Sun, C., Lv, X., Ding, W., & Feng, X. (2016). Effect of air-assisted spray application rate on spray droplet deposition distribution on fruit tree canopies. Applied Engineering in Agriculture, 32(6), 739–749.CrossRefGoogle Scholar
  11. R Development Core Team. (2012). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
  12. van de Zande J. C., Michielsen J. M. G. P., Stallinga H., van Dalfsen P., Wenneker M. (2018). Effect on air deposition and spray liquid distribution of a cross flow fan orchard sprayer on spray deposition in fruit trees. In Proceedings of VII SPISE (pp. 24–26 IX). Athens.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • S. Failla
    • 1
    Email author
  • E. Romano
    • 2
  • D. Longo
    • 1
  • C. Bisaglia
    • 2
  • G. Schillaci
    • 1
  1. 1.Department of Agricultural, Food and Environment (Di3A)University of CataniaCataniaItaly
  2. 2.Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria, Centro di Ricerca Ingegneria e Trasformazioni agroalimentari (CREA-IT)TreviglioItaly

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