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Air drill Seeder Distributor Head Evaluation: A Comparison between Laboratory Tests and Computational Fluid Dynamics Simulations

In: Information and Communication Technologies for Agriculture—Theme II: Data

Author

Listed:
  • Ignacio Rubio Scola

    (CIFASIS, French Argentine International Center for Information and Systems Sciences, National Scientific and Technical Research Council (CONICET) and the National University of Rosario (UNR))

  • Sebastián Rossi

    (National Institute of Industrial Technology (INTI))

  • Gastón Bourges

    (National Institute of Industrial Technology (INTI) and the National University of Rosario (UNR))

Abstract

In this work, a commercial distributor head is evaluated. In parallel, both numerical simulations and laboratory tests, in a bench test belonging to the National University of Rosario, are carried out. This test bench has been built to evaluate components of air drill seeder’s pneumatic transport and distribution system. Soybean (Glycine max) seeds are used in the experimental tests. In Computational Fluid Dynamics (CFD) simulations, soybean seeds are modeled as spherical, rigid, and uniform size particles. The CFD simulations of the air-seed mixture are carried out with the commercial software ANSYS Fluent, and particle trajectories are numerically computed using a Lagrangian approach. A two-way coupling method is used, named Discrete Phase Model (DPM). Results show that numerical simulations are consistent with the laboratory tests, obtained in controlled trials. In both cases, the highest flow rates of seeds are produced in frontal outlets, while rear outlets present the lowest flow.

Suggested Citation

  • Ignacio Rubio Scola & Sebastián Rossi & Gastón Bourges, 2022. "Air drill Seeder Distributor Head Evaluation: A Comparison between Laboratory Tests and Computational Fluid Dynamics Simulations," Springer Optimization and Its Applications, in: Dionysis D. Bochtis & Dimitrios E. Moshou & Giorgos Vasileiadis & Athanasios Balafoutis & Panos M. P (ed.), Information and Communication Technologies for Agriculture—Theme II: Data, pages 189-205, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-84148-5_8
    DOI: 10.1007/978-3-030-84148-5_8
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