Experimental Research and Parameter Optimization on Dust Emission Reduction for Peanut Pickup Combine Harvesting

In response to the dust pollution issue during the harvesting operations of peanut pickup combines, this study involved conducting bench tests to explore the variation patterns of dust emission parameters and harvesting operation indicators under diverse working parameter conditions of the combine’s working components. A multi-factor mathematical model was established to predict both the dust emission rate of peanut pickup combines and the quality of harvesting operations. The model was utilized to identify the optimal combination of operation parameters for achieving high-quality and low-emission performance. The optimal parameter combination was determined as follows: a pod threshing roller speed of 313 r/min, a cleaning fan speed of 2535 r/min, a vine crushing roller speed of 1970 r/min, and a lifting fan speed of 1604 r/min. Under these conditions, the theoretical dust emission rate was calculated to be 10,603 mg/s, with a pod loss rate of 4.73% and a pod impurity rate of 5.21%. Compared to previous settings, the optimized operation parameters effectively reduced the combine’s dust emissions by 9.95%. Notably, the harvesting operation quality still complies with the industry standards for peanut harvesters. These research findings offer theoretical insights and robust technical support for minimizing dust pollution during the whole-feed harvesting of peanuts, contributing to more environmentally friendly and efficient peanut harvesting practices.

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Publication Details

Journal
Agriculture
Published
2025-09-25
DOI
https://doi.org/10.3390/agriculture15192006
Primary Topic
Aerosol Filtration and Electrostatic Precipitation
Type
article
Field-Weighted Citation Impact
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article

Experimental Research and Parameter Optimization on Dust Emission Reduction for Peanut Pickup Combine Harvesting

Zhichao Hu, Hongguang Yang, Peng Zhang, Hongbo Xu et al.
Agriculture
Aerosol Filtration and Electrostatic Precipitation
article

Experimental Research and Parameter Optimization on Dust Emission Reduction for Peanut Pickup Combine Harvesting

Zhichao Hu, Hongguang Yang, Peng Zhang, Hongbo Xu, Enrong Mao, Jiangtao Wang, Fengwei Gu, Feng Wu
article en

Abstract

In response to the dust pollution issue during the harvesting operations of peanut pickup combines, this study involved conducting bench tests to explore the variation patterns of dust emission parameters and harvesting operation indicators under diverse working parameter conditions of the combine’s working components. A multi-factor mathematical model was established to predict both the dust emission rate of peanut pickup combines and the quality of harvesting operations. The model was utilized to identify the optimal combination of operation parameters for achieving high-quality and low-emission performance. The optimal parameter combination was determined as follows: a pod threshing roller speed of 313 r/min, a cleaning fan speed of 2535 r/min, a vine crushing roller speed of 1970 r/min, and a lifting fan speed of 1604 r/min. Under these conditions, the theoretical dust emission rate was calculated to be 10,603 mg/s, with a pod loss rate of 4.73% and a pod impurity rate of 5.21%. Compared to previous settings, the optimized operation parameters effectively reduced the combine’s dust emissions by 9.95%. Notably, the harvesting operation quality still complies with the industry standards for peanut harvesters. These research findings offer theoretical insights and robust technical support for minimizing dust pollution during the whole-feed harvesting of peanuts, contributing to more environmentally friendly and efficient peanut harvesting practices.

AgricultureVol. 15(19)
Zhumadian Central Hospital (CN), Ministry of Agriculture and Rural Affairs (CN), Nanjing Institute of Agricultural Mechanization (CN), China Agricultural University (CN)
Openalex Percentile: Top 74%
Aerosol Filtration and Electrostatic Precipitation
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