任洁,江剑.声学法测棒材体积模量的自动识别算法[J].国外电子测量技术,2016,35(9):105-109
声学法测棒材体积模量的自动识别算法
Automatic recognition algorithm for ultrasonic measurement of rod shaped materials’ bulk modulus
  
DOI:
中文关键词:  体积模量  超声波  变型横波  自动识别
英文关键词:bulk modulus  ultrasonic  variant transverse wave  automatic recognition
基金项目:
作者单位
任洁 南京理工大学机械工程学院 南京 210094 
江剑 南京理工大学机械工程学院 南京 210094 
AuthorInstitution
Ren Jie Nanjing University of Science and Technology, Nanjing 210094, China 
Jiang Jian Nanjing University of Science and Technology, Nanjing 210094, China 
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中文摘要:
      提出了利用超声波法测量材料体积模量的自动识别目标点算法。针对不同棒状材料,使用超声波纵波直探头测量直达纵波时间和变形横波产生的延时纵波到达的时间计算超声波在该种材料中的横波声速和纵波声速,并得到其体积模量。在分析不同材质和尺寸对于特征点位置影响的基础上,设计了自动搜索算法替代手动闸门截取波形寻找特征点,从而简化了超声波测量体积模量的步骤。对于长径比在5∶1左右的钢和铝等金属试件测量不确定度在1%以下,相同尺寸的有机玻璃和尼龙等非金属试件不确定度在3%以下。
英文摘要:
      An automatic recognition algorithm of testing bulk modulus by making use of variant transverse wave is proposed. Use two straight beam probes to measure the direct longitudinal wave’s arriving time as well as the delay wave’s arriving time caused by variant transverse wave for rod shaped test pieces of different materials. According to this two parameters, longitudinal and shear wave velocities and bulk modulus can be calculated of the materials. Design an automatic recognition algorithm to find the target points instead of using lock gates after analysis the influence of different material properties and dimensions. The results show that the uncertainty is less than 1% when test pieces are metal materials such as steel and aluminum whose length diameter ratio is about 5, and the uncertainty is less than 3% of non metal test pieces like plexiglass and nylon the same size.
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