考虑声强测试网格的汽车雨刮器驱动系统噪声定位精度研究
|
摘要
针对某型汽车雨刮器驱动系统噪声源定位问题,研究不同尺寸的测试网格对噪声声源定位精度的影响。首先根据驱动电机实际尺寸与各组成构件,选定有效测量面积,以测量点尽量靠近各噪声源位置为基本原则,结合实际中传声器测试条件,在测量面上分别设置尺寸为4.5 cm、3 cm和1.5 cm的3种测试网格来进行主噪声源定位研究,以及基于尺寸为1 cm的测试网格进行整体声强分布精度的研究;利用B&K声强测试设备及其系统,采用离散点测量法进行声强测试,得到声强云图,进行噪声源定位分析。结果表明:测试中采用尺寸为4.5 cm的网格声源定位精度最低,尺寸为1.5 cm的网格声源定位精度高,但测量周期长,操作繁琐,而采用尺寸为3 cm的网格能快速精准地实现主噪声声源定位,综合效果最佳;基于尺寸为1.0 cm的测试网格,结合悬针辅助定位方法,得到准确的汽车雨刮器驱动系统整体声强分布。
In order to solve the problem of noise control for a certain type of vehicle wiper drive systems, the influence of test grids of different sizes on the localization accuracy of noise sources is studied. First of all, the effective measurement area is selected according to the actual sizes of the drive motors and the combined components. Based on the basic principle that the measurement point should be as close as possible to the noise source position, and according to the actual microphone test conditions, three kinds of square test grids, 4.5 cm, 3 cm and 1.5 cm, are set up in the measurement area for the main noise source positioning. Furthermore, for studying the accuracy of the overall sound intensity distribution, the square test grid with size of 1 cm is used in the measurement area. Using B&K sound test equipment and its system and discrete point measurement method, the sound intensity at each grid node is tested, the sound intensity cloud diagram and the sound intensity three-dimensional diagram are obtained and the noise source is located. The results show that the square grid of 4.5 cm has the lowest positioning accuracy, and the grid of 1.5 cm has high accuracy, but the measurement period is long and the operation is cumbersome. The grid of 3 cm can realize the source positioning quickly and accurately, and its comprehensive effect is the best. Based on the test grid with a size of 1.0 cm and combined with the dangling needle assisted positioning method, the overall sound intensity distribution of the vehicle wiper drive system can be obtained accurately.
In order to solve the problem of noise control for a certain type of vehicle wiper drive systems, the influence of test grids of different sizes on the localization accuracy of noise sources is studied. First of all, the effective measurement area is selected according to the actual sizes of the drive motors and the combined components. Based on the basic principle that the measurement point should be as close as possible to the noise source position, and according to the actual microphone test conditions, three kinds of square test grids, 4.5 cm, 3 cm and 1.5 cm, are set up in the measurement area for the main noise source positioning. Furthermore, for studying the accuracy of the overall sound intensity distribution, the square test grid with size of 1 cm is used in the measurement area. Using B&K sound test equipment and its system and discrete point measurement method, the sound intensity at each grid node is tested, the sound intensity cloud diagram and the sound intensity three-dimensional diagram are obtained and the noise source is located. The results show that the square grid of 4.5 cm has the lowest positioning accuracy, and the grid of 1.5 cm has high accuracy, but the measurement period is long and the operation is cumbersome. The grid of 3 cm can realize the source positioning quickly and accurately, and its comprehensive effect is the best. Based on the test grid with a size of 1.0 cm and combined with the dangling needle assisted positioning method, the overall sound intensity distribution of the vehicle wiper drive system can be obtained accurately.
引文
[1]陈心昭.噪声源识别技术的进展[J].合肥工业大学学报(自然科学版),2009,32(5):609-614.
[2]伍先俊,李志明.汽车电机噪声机理和降噪方法[J].微特电机,2003,14(1):14-16.
[3]谷爱昱.电机噪声在线测量系统[J].微特电机,2005,39(12):39-40.
[4]彭若龙,夏博雯,杨涛.箱式大功率电机的噪声控制[J].噪声与振动控制,2014,34(04):202-204.
[5]胡伊贤,李舜酩,张袁元,等.车辆噪声源识别方法综述[J].噪声与振动控制,2012,31(5):11-15.
[6]李晶,邓艾东,杨勇,等.近场子空间聚焦的碰摩故障声发射定位方法[J].声学学报,2017,42(6):703-712.
[7]程志伟,叶子文,刘雯,等.声压法和声强法在车身隔声性能测量中的应用和对比[J].噪声与振动控制,2012,32(1):174-176.
[8]舒歌群,郝志勇,谭从民.内燃机噪声测量中的声强测试技术[J].内燃机学报,1998,16(1):69-74.
[9]颜猛,傅亮,夏博雯,等.声强探头到试件表面距离对隔声测量值的影响[J].噪声与振动控制,2015,35(6):172-175.
[10]宋艳华,姜哲.测量点位置对声源识别的影响[J].振动与冲击,2008,27(3):35-37.
[11]金岩,郝志勇.车用汽油机噪声源的声强测量识别[J].农业机械学报,2006,37(2):14-16.
[12]程发斌,汤宝平,赵玲.声强法在电动机噪声测试中的应用[J].重庆大学学报(自然科学版),2004,27(11):11-14.
[13]杨远,刘海,陈勇,等.电驱动动力总成噪声识别与优化[J].噪声与振动控制,2017,37(6):102-106.
[14]韩军,郝志勇,刘月辉.柴油机表面噪声的声强测量与分析[J].汽车工程,2003,25(3):2-274.
[15]戴冠帮,纪国宜.大型结构测点优化与配置[J].噪声与振动控制,2015,35(6):185-190.
[16]刘起元,许国贤,胡长战,等.声强测量技术在汽车噪声控制中的应用[J].汽车工程,1992,14(2):86-93.
[2]伍先俊,李志明.汽车电机噪声机理和降噪方法[J].微特电机,2003,14(1):14-16.
[3]谷爱昱.电机噪声在线测量系统[J].微特电机,2005,39(12):39-40.
[4]彭若龙,夏博雯,杨涛.箱式大功率电机的噪声控制[J].噪声与振动控制,2014,34(04):202-204.
[5]胡伊贤,李舜酩,张袁元,等.车辆噪声源识别方法综述[J].噪声与振动控制,2012,31(5):11-15.
[6]李晶,邓艾东,杨勇,等.近场子空间聚焦的碰摩故障声发射定位方法[J].声学学报,2017,42(6):703-712.
[7]程志伟,叶子文,刘雯,等.声压法和声强法在车身隔声性能测量中的应用和对比[J].噪声与振动控制,2012,32(1):174-176.
[8]舒歌群,郝志勇,谭从民.内燃机噪声测量中的声强测试技术[J].内燃机学报,1998,16(1):69-74.
[9]颜猛,傅亮,夏博雯,等.声强探头到试件表面距离对隔声测量值的影响[J].噪声与振动控制,2015,35(6):172-175.
[10]宋艳华,姜哲.测量点位置对声源识别的影响[J].振动与冲击,2008,27(3):35-37.
[11]金岩,郝志勇.车用汽油机噪声源的声强测量识别[J].农业机械学报,2006,37(2):14-16.
[12]程发斌,汤宝平,赵玲.声强法在电动机噪声测试中的应用[J].重庆大学学报(自然科学版),2004,27(11):11-14.
[13]杨远,刘海,陈勇,等.电驱动动力总成噪声识别与优化[J].噪声与振动控制,2017,37(6):102-106.
[14]韩军,郝志勇,刘月辉.柴油机表面噪声的声强测量与分析[J].汽车工程,2003,25(3):2-274.
[15]戴冠帮,纪国宜.大型结构测点优化与配置[J].噪声与振动控制,2015,35(6):185-190.
[16]刘起元,许国贤,胡长战,等.声强测量技术在汽车噪声控制中的应用[J].汽车工程,1992,14(2):86-93.