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Purpose <p>The purpose of this study is to design a hazelnut cleaning and sorting device that can improve the cleaning efficiency and adaptability of the process. The study aims to optimize the cleaning parameters to enhance the sorting performance of hazelnuts.</p> Methods <p>The hazelnut cleaning process was analyzed using a coupled computational fluid dynamics (CFD) and discrete element method (DEM) approach. The influence of screen inclination angle and airflow velocity on the cleaning rate was systematically studied. The optimal combination of parameters to improve cleaning performance was identified through a combination of computational modeling and physical experiments. The results were verified through physical experiments conducted on a test bench.</p> Results <p>The highest cleaning rate achieved was 93.54% when the airflow velocity was set to 15&#xa0;m/s. The cleaning rate increased to 93.98% when the screen inclination was set to 40°. At the optimal parameters of an airflow velocity of 13.7&#xa0;m/s and a screen inclination of 41.2°, the cleaning device achieved its highest cleaning rate of 94.24% and its lowest loss rate of 3.89%. The experimental validation on the test bench showed that at a vibration frequency of 8&#xa0;Hz, an airflow velocity of 14&#xa0;m/s, and a screen inclination of 41.8°, the cleaning rate was 92.15%, and the loss rate was 6.44%.</p> Conclusion <p>This study provides a theoretical basis for the improvement of hazelnut cleaning and sorting rate during the harvesting process. The identified optimal parameters offer a practical solution to enhance the efficiency and adaptability of hazelnut cleaning and sorting devices. The findings can guide future engineering and design efforts to optimize hazelnut processing systems.</p>

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Multi-parameter Optimization of Hazelnut Cleaning System: Integrated CFD-DEM Simulation and Experiment for Enhanced Cleaning Efficiency

  • 期刊论文

  • 发表日期：

    2025年10月7日

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  • Junming Hou,
  • Chenglong Li,
  • Zhenghang Long,
  • Hao Ding,
  • Minghui Liu,
  • Qiang Tang,
  • Chenghao Li,
  • Dexu Yang

摘要

Purpose

The purpose of this study is to design a hazelnut cleaning and sorting device that can improve the cleaning efficiency and adaptability of the process. The study aims to optimize the cleaning parameters to enhance the sorting performance of hazelnuts.

Methods

The hazelnut cleaning process was analyzed using a coupled computational fluid dynamics (CFD) and discrete element method (DEM) approach. The influence of screen inclination angle and airflow velocity on the cleaning rate was systematically studied. The optimal combination of parameters to improve cleaning performance was identified through a combination of computational modeling and physical experiments. The results were verified through physical experiments conducted on a test bench.

Results

The highest cleaning rate achieved was 93.54% when the airflow velocity was set to 15 m/s. The cleaning rate increased to 93.98% when the screen inclination was set to 40°. At the optimal parameters of an airflow velocity of 13.7 m/s and a screen inclination of 41.2°, the cleaning device achieved its highest cleaning rate of 94.24% and its lowest loss rate of 3.89%. The experimental validation on the test bench showed that at a vibration frequency of 8 Hz, an airflow velocity of 14 m/s, and a screen inclination of 41.8°, the cleaning rate was 92.15%, and the loss rate was 6.44%.

Conclusion

This study provides a theoretical basis for the improvement of hazelnut cleaning and sorting rate during the harvesting process. The identified optimal parameters offer a practical solution to enhance the efficiency and adaptability of hazelnut cleaning and sorting devices. The findings can guide future engineering and design efforts to optimize hazelnut processing systems.