Experimental Study of Noise Source Identification of a Dual Fuel Engine
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摘要: 以一台车用4缸汽油压缩天然气(CNG)两用燃料发动机为研究对象进行噪声源识别,测试工况为怠速工况、最大转矩工况与最大功率工况。首先测试发动机的1 m声压级,定位噪声最大的端面为发动机前端,再使用基于波束形成技术的声阵列系统对发动机前端和进气侧进行分析,分析结果表明汽油与CNG燃料主要噪声频段均位于1 000~2 000 Hz,进而识别出主要噪声源为链壳,通过振动测试验证了噪声源,并对两种燃料的噪声源特点进行了比较。研究表明波束形成技术在噪声源识别中具有快捷、直观的优点;两用燃料发动机CNG燃料怠速噪声较汽油燃料各对应面大5~7 dB,250 Hz以下的燃烧噪声是主要成因。Abstract: An experimental study of the noise source identification of a 4-cylinder dual-fuel engine based on beamforming technology was presented. The experiment uses idle conditions, maximum torque conditions and maximum power conditions. Firstly, the noise pressure level measurement shows that the noisiest surface was in the front of the engine. Secondly the main noise sources were identified with a beamformer array. The experimental results showed that the major noise source in 1 000~2 000 Hz was the chain cover both in gasoline fuel and CNG fuel. Vibration analysis was done to verify the experimental results. Additionally, the characteristics of noise sources of the two types of fuel were compared. This study shows that the beamforming technology in the noise source identification is fast. The noise of CNG fuel is 5~7 dB bigger than that of gasoline fuel in the idle condition because the combustion noise is below 250 Hz.
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