Department of Biosystems Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
Samwoo Agri-machinery Co., Ltd., Daegu, 42710, Republic of Korea.
Sci Rep. 2022 Dec 21;12(1):22038. doi: 10.1038/s41598-022-26408-3.
Tractor cab interior noise is a risk factor that degrades operators' work performance and threatens their health; therefore, the noise must be reduced to ensure farmworkers' safety and efficiency. Cab interior noise can be classified as structure-borne noise and air-borne noise. Structure-borne noise has been extensively studied. However, although air-borne noise greatly contributes to cab interior noise, detailed frequency-domain analyses have not been performed. In this study, the components of cab interior noise were identified in the frequency domain through an order analysis, which helped improve the sound insulation of the cab and reduce the effects of air-borne noise. A test was performed while driving a tractor on a chassis dynamometer in a semi-anechoic chamber for reproducible measurement and evaluation. The A-weighted sound pressure was transformed by a fast Fourier transform algorithm, and its order was tracked by the engine speed signal. In addition, a direct path was identified by acoustic images using a sound camera. The contributions of major noise sources were identified through an order analysis. We proved that air-borne noise significantly contributes to the interior noise of tractor cabs and that improvement of the cab sound insulation is an effective noise-reduction technique.
拖拉机驾驶室内部噪声是降低操作人员工作性能和威胁其健康的风险因素,因此必须降低噪声,以确保农民的安全和效率。驾驶室内部噪声可分为结构噪声和空气噪声。结构噪声已得到广泛研究。然而,尽管空气噪声对驾驶室内部噪声有很大贡献,但尚未进行详细的频域分析。在这项研究中,通过阶次分析在频域中确定了驾驶室内部噪声的组成部分,这有助于提高驾驶室的隔音性能并降低空气噪声的影响。在半消声室内的底盘测功机上驾驶拖拉机进行了测试,以实现可重复的测量和评估。通过快速傅里叶变换算法对 A 加权声压进行转换,并通过发动机转速信号跟踪其阶次。此外,还使用声相机通过声像图识别直达路径。通过阶次分析确定了主要噪声源的贡献。我们证明了空气噪声对拖拉机驾驶室内部噪声有很大贡献,并且提高驾驶室的隔音性能是一种有效的降噪技术。