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Development of active exhaust noise cancellation system (Part 1) -- optimization of AENC system by using of acoustic analysis

机译:主动排气噪声消除系统的开发(第1部分)-通过声学分析优化AENC系统

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摘要

In recent years, the demand for reduction of noise emitted into the environment has strongly increased for preventing noise pollution. For example, the ships, which have high noise levels, are refused entry to ports at night. As the major contributor of emitted noise to the environment is exhaust noise, it is necessary to reduce the exhaust noise as much as possible. Conventionally, such as passive silencer technique, a larger silencer is needed in order to achieve larger noise reduction. Therefore, because of the limitation of space, it was actually difficult to reduce the exhaust noise of the ship. For reducing the exhaust noise as well as minimizing the occupied space, the active noise cancellation technique was applied to the exhaust noise silencer for a diesel engine. In order to reduce the exhaust noise efficiently, at first, the acoustic behavior in an exhaust pipe was calculated by the boundary element method. At first, for optimizing the length of pipes and the positions of microphones and speakers, the active exhaust noise cancellation system (AENC) could be applied to the main engine for marine use. Also, by applying acoustic resonance aggressively, the AENC with only one speaker system could be developed for auxiliary engine. The Filtered-X LMS algorithm with a signal filter was used for adaptive control. Finally, by assembling a passive silencer for high frequency noise, the active exhaust noise silencer was developed. Then the exhaust noise was drastically reduced to less than 65dB (A) at 1m from the outlet.
机译:近年来,为防止噪声污染,强烈要求减少向环境中排放的噪声。例如,噪声水平高的船只在夜间被拒绝进入港口。由于排放到环境中的主要因素是排气噪声,因此有必要尽可能降低排气噪声。常规地,诸如被动消音器技术,需要更大的消音器以实现更大的噪声降低。因此,由于空间的限制,实际上很难降低船舶的排气噪声。为了减少排气噪声并最小化占用空间,将主动噪声消除技术应用于柴油机的排气消声器。为了有效地减少排气噪声,首先,通过边界元法计算排气管中的声学性能。首先,为了优化管道的长度以及麦克风和扬声器的位置,可以将主动排气噪声消除系统(AENC)应用于船用主机。另外,通过积极地施加声共振,可以为辅助发动机开发仅具有一个扬声器系统的AENC。具有信号滤波器的Filtered-X LMS算法用于自适应控制。最后,通过组装用于高频噪声的无源消音器,开发了有源排气噪声消音器。然后,在距出口1m处,排气噪声被大大降低至小于65dB(A)。

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