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Noise Testing of the Conveyor Trough Sprocket and Surface Noise Reduction Performance Evaluation of the Cavity Structure in a Combine Harvester

Author

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  • Jianpeng Jing

    (College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Hongyan Sun

    (School of Electrical Engineering, Nanjing Normal University Taizhou College, Taizhou 225300, China)

  • Runzhi Liang

    (College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Shuren Chen

    (College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Zhong Tang

    (College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
    Key Laboratory Equipment of Modern Agricultural Equipment and Technology, Ministry of Education, Jiangsu University, Zhenjiang 212013, China)

  • Xiaoying He

    (College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Yuxuan Chen

    (College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

This study investigates noise detection and damping-based noise mitigation strategies for cavity structures, with a specific focus on addressing noise issues in the conveyor trough of combine harvesters. Despite its practical significance, research on the noise generation mechanisms, transmission paths, and control measures for conveyor troughs remains limited, particularly under varying operational conditions. To bridge this gap, this work integrates experimental measurements with numerical simulations to systematically analyze and optimize the noise reduction performance of the conveyor trough. Noise measurements were conducted using the sound intensity method, revealing sound pressure levels in the range of 93–95 dB. Frequency spectrum analysis identified key noise sources and dominant frequency components. Finite element analysis (FEA) and vibration modal testing were performed to uncover critical noise-inducing factors, including chain meshing impacts and structural resonances. Based on these findings, a damping optimization strategy was proposed by incorporating constrained damping layers to attenuate vibration and reduce noise in targeted frequency bands. The effectiveness of this approach was validated through multiple coherence analysis, which confirmed significant suppression of structural vibration noise in the 0–500 Hz range, while experimental results showed that the optimized conveyor trough structure achieved a maximum reduction of 0.4071 dB in continuous equivalent A-weighted sound pressure under load conditions. This research provides a comprehensive methodology for noise control and structural optimization of conveyor trough systems, offering valuable theoretical and practical insights for enhancing the operational comfort and environmental performance of combine harvesters.

Suggested Citation

  • Jianpeng Jing & Hongyan Sun & Runzhi Liang & Shuren Chen & Zhong Tang & Xiaoying He & Yuxuan Chen, 2025. "Noise Testing of the Conveyor Trough Sprocket and Surface Noise Reduction Performance Evaluation of the Cavity Structure in a Combine Harvester," Agriculture, MDPI, vol. 15(12), pages 1-23, June.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:12:p:1299-:d:1680598
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    References listed on IDEAS

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    1. Baocheng Xu & Jizhan Liu & Yucheng Jin & Kaiyu Yang & Shengyi Zhao & Yun Peng, 2025. "Vibration–Collision Coupling Modeling in Grape Clusters for Non-Damage Harvesting Operations," Agriculture, MDPI, vol. 15(2), pages 1-24, January.
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    3. Zhenwei Liang & Jun Li & Jianmin Liang & Yifan Shao & Tengfei Zhou & Zengyong Si & Yaoming Li, 2022. "Investigation into Experimental and DEM Simulation of Guide Blade Optimum Arrangement in Multi-Rotor Combine Harvesters," Agriculture, MDPI, vol. 12(3), pages 1-14, March.
    4. Muhammad Faheem & Jizhan Liu & Guozheng Chang & Irfan Abbas & Binbin Xie & Zhu Shan & Kaiyu Yang, 2021. "Experimental Research on Grape Cluster Vibration Signals during Transportation and Placing for Harvest and Post-Harvest Handling," Agriculture, MDPI, vol. 11(9), pages 1-20, September.
    5. Zheng Ma & Zelin Zhang & Zhaohui Zhang & Zhiqiang Song & Yanbin Liu & Yaoming Li & Lizhang Xu, 2023. "Durable Testing and Analysis of a Cleaning Sieve Based on Vibration and Strain Signals," Agriculture, MDPI, vol. 13(12), pages 1-22, December.
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