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螺栓轴向应力-超声波渡越时间自动标定系统研究

2802    2020-03-26

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作者:刘家斌, 王雪梅, 倪文波

作者单位:西南交通大学机械工程学院,四川 成都 610031


关键词:螺栓应力;超声回波;渡越时间;灵敏度系数;标定


摘要:

该文针对传统螺栓轴向应力-超声波渡越时间标定系统的局限性,基于声弹性效应研制一套自动化螺栓轴向应力-超声波渡越时间标定系统,主要包括机械结构、多路数据采集传输系统、加载控制系统和上位机软件4部分。系统采用双滑轨卧式机械结构,基于FPGA、NI数据采集卡和千兆以太网设计多路数据采集传输系统,能实时检测超声波在螺栓中的渡越时间、螺栓轴向应力、扭矩和环境温度等参数;基于交流伺服电机和LabVIEW设计加载控制系统,通过上位机监测和控制软件实现对螺栓的连续平稳加载和卸载。大量试验和数据分析结果表明:该系统能够方便快速地实现对螺栓轴向应力-超声渡越时间关系的灵敏度系数的标定和实时显示,重复准确度达±2%。


Research on automatic calibration system of bolt axial stress-ultrasonic time of flight
LIU Jiabin, WANG Xuemei, NI Wenbo
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Abstract: Aiming at the limitation of traditional bolt axial stress-ultrasonic time-of-flight calibration system, an automatic bolt axial stress-ultrasonic time-of-flight calibration system is developed based on acoustic elasticity effect. The system mainly includes four parts: mechanical structure, multi-channel data acquisition and transmission system, loading control system and upper computer software. The system adopts double slideway horizontal mechanical structure, and designs a multi-channel data acquisition and transmission system based on FPGA, NI data acquisition card and Gigabit Ethernet, which can real-time detect the parameters such as the transit time of ultrasound in bolts, the axial stress of bolts, the torque and the ambient temperature of bolts. The loading control system is designed based on AC servo motor and LabVIEW techniques,and can realize loading and unloading of bolts continuously and smoothly by monitoring and controlling software of upper computer. A large number of experiments and data analysis results show that the designed system can quickly and conveniently calibrate the sensitivity coefficient of the relationship between axial stress of bolts and ultrasonic time of flight and display it in real time. The repetition accuracy is up to ±2%.
Keywords: bolt stress;ultrasound echo;transit time;sensitivity coefficient;calibration
2020, 46(3):91-96  收稿日期: 2019-08-28;收到修改稿日期: 2019-10-08
基金项目: 深圳市技术攻关项目(重20170413)
作者简介: 刘家斌(1995-),湖北荆门市人,硕士研究生,专业方向为基于超声波的螺栓应力测试技术
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