摘要
压缩机壳体自身模态的共振是冰箱产生高频噪声的主要原因,为解决变频冰箱工作时存在高频噪声的问题,提出了一种基于信号处理的压缩机壳体模态优化降噪方法。文章通过声压传感器采集声压信号,得到压缩机在1~10 kHz范围内的窄带谱噪声,并确定了2150 Hz附近的高峰值点就是易共振点。基于信号处理的结果,采用力锤法对壳体模态参数进行测试,利用SolidWorks软件调整了壳体的曲线结构,对壳体的弧度进行优化。结果表明:优化壳体模态准确抑制了壳体噪声辐射值,压缩机整体运行噪声降低了2 dB(A)左右,高频噪声降低了5 dB(A)左右。
The resonance of the compressor shell modal is the main reason for the refrigerator’s high-frequency noise.To solve the problem of high-frequency noise when the inverter refrigerator works,a noise reduction method of refrigerator compressor shell modal optimization based on signal processing has been proposed.The sound pressure signal is collected by the sound pressure sensor,and the narrow-band spectral noise of the compressor in the range of 1~10 kHz is obtained,and the high peak point near 2150 Hz is determined to be the easy resonance point.Based on the results of signal processing,the modal parameters of the shell are tested by the hammer method.The SolidWorks is used to adjust the shell’s curve structure and optimize the radian of the shell.The results show that the optimized shell modal can accurately suppress the shell noise radiation value,the overall operating noise of the compressor is reduced by about 2 dB(A),and the high-frequency noise is reduced by about 5 dB(A).
作者
陈刚
朱金江
肖建华
陈曦
李菁瑞
CHEN Gang;ZHU Jinjiang;XIAO Jianhua;CHEN Xi;LI Jingrui(Huangshi Donper Compressor Co.,Ltd.,Huangshi Hubei 435000)
出处
《湖北理工学院学报》
2022年第5期5-8,共4页
Journal of Hubei Polytechnic University
关键词
信号处理与提取
振动传感器
振动信号提取
模态识别
固有频率优化
signal processing and extraction
vibrating sensor
vibration signal extraction
modal identification
natural frequency optimization