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Design and Experiment of Drying Equipment for Alfalfa Bales

Author

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  • Jianqiang Du

    (Intelligent Equipment for the Whole Process of Forage Feed Production, Inner Mongolia Autonomous Region Engineering Research Center, Hohhot 010018, China
    School of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China)

  • Zhiwen Sun

    (School of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China)

  • Zeqi Chen

    (School of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China)

Abstract

Inefficient drying of alfalfa round bales causes significant nutrient loss (up to 50%) and quality degradation due primarily to uneven drying in existing processing methods. To address this challenge requiring dedicated equipment and optimized processes, this study developed a specialized hot-air drying test bench (CGT-1). A coupled heat and mass transfer model was established, and 3D dynamic simulations of temperature, humidity, and wind speed distributions within bales were performed using COMSOL multiphysics to evaluate drying inhomogeneity. Single-factor experiments and multi-factor response surface methodology (RSM) based on Box–Behnken design were employed to investigate the effects of hot air temperature (50–65 °C), wind speed (2–5 m/s), and air duct opening diameter (400–600 mm) on moisture content, drying rate, and energy consumption. Results demonstrated that larger duct diameters (600 mm) and higher wind speeds (5 m/s) significantly enhanced field uniformity. RSM optimization identified optimal parameters: temperature at 65 °C, wind speed of 5 m/s, and duct diameter of 600 mm, achieving a drying time of 119.2 min and a drying rate of 0.62 kg/(kg·min). Validation experiments confirmed the model’s accuracy. These findings provide a solid theoretical foundation and technical support for designing and optimizing alfalfa round-bale drying equipment. Future work should explore segmented drying strategies to enhance energy efficiency.

Suggested Citation

  • Jianqiang Du & Zhiwen Sun & Zeqi Chen, 2025. "Design and Experiment of Drying Equipment for Alfalfa Bales," Agriculture, MDPI, vol. 15(19), pages 1-23, September.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:19:p:2000-:d:1757450
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    References listed on IDEAS

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    1. Md Imran H. Khan & C. P. Batuwatta-Gamage & M. A. Karim & YuanTong Gu, 2022. "Fundamental Understanding of Heat and Mass Transfer Processes for Physics-Informed Machine Learning-Based Drying Modelling," Energies, MDPI, vol. 15(24), pages 1-27, December.
    2. Gao, Xinyu & Xuan, Chuanzhong & Tang, Zhaohui & Hong, Baodi & Ma, Yanhua & Qian, Shanzhu, 2025. "A dynamic drying process: Mathematical modeling and energy consumption optimization of alfalfa bales using hot air drying," Renewable Energy, Elsevier, vol. 246(C).
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