Working Parameter Optimization for Fruit Sizing Equipment with Discrete Element Simulation

Date Received: Nov 08, 2024

Date Accepted: Jun 10, 2025

Date Published: Jun 28, 2025

DOI: https://doi.org/10.31817/vjas.2025.8.2.

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Issue: Vol. 8 No. 2 (2025): Vietnam Journal of Agricultural Sciences

Section:

ENGINEERING AND TECHNOLOGY

How to Cite:

Nguyen, N., Thong, N., Huan, D., Hang, P., Lu, L., Thiet, N., & Tien-Thinh, L. (2025). Working Parameter Optimization for Fruit Sizing Equipment with Discrete Element Simulation. Vietnam Journal of Agricultural Sciences, 8(2), 2483–2492. https://doi.org/10.31817/vjas.2025.8.2.

Working Parameter Optimization for Fruit Sizing Equipment with Discrete Element Simulation

Nguyen Thi Hanh Nguyen 1 , Nguyen Chung Thong 1 , Duong Thanh Huan 1 , Pham Thi Hang 2 , Le Minh Lu 1 , Nguyen Xuan Thiet 1   , Le Tien-Thinh (*) 3, 4

  • Corresponding author: [email protected]
  • 1 Faculty of Engineering, Vietnam National University of Agriculture, Hanoi 12400, Vietnam
  • 2 Faculty of Mechanical Engineering, Thuyloi University, Hanoi 11500, Vietnam
  • 3 Faculty of Mechanical Engineering and Mechatronics, Phenikaa School of Engineering, Phenikaa University, Yen Nghia, Ha Dong, Hanoi 12100, Vietnam
  • 4 PHENIKAA Research and Technology Institute (PRATI), A&A Green Phoenix Group JSC, Hanoi 11300, Vietnam

    • Keywords

    Discrete element simulation, agricultural granular materials, diameter sizing equipment, particle moving speed, particle flowrate

    Abstract


    Despite significant progress in the field of discrete element modeling (DEM) for agricultural granular materials, currently there is little application of discrete element simulations for agricultural fruit and vegetable sorting and sizing equipment. Thus, this study employed discrete element simulation to enhance the optimization of the working parameters for spherical-shape fruit sizing equipment. The research focused on diameter sizing equipment, investigating the influence of key parameters such as the fruit moving speed and flowrate on sizing efficiency. Fifteen simulation configurations were evaluated using commercial altair EDEM software. The results revealed the optimal combinations of working parameters that maximized yield while minimizing error. This study demonstrates the potential of discrete element simulation in minimizing the need for physical prototypes, accelerating the development process, and reducing time and cost.

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