Luo Lijia, Fan Jingjing, Ma Junming, Chen Wenfei, Song Wei, Bao Shiyi
College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Ultrasonics. 2024 Aug;142:107402. doi: 10.1016/j.ultras.2024.107402. Epub 2024 Jul 15.
Bolted joints are widely used in various machines and engineering structures. The tightening state of bolts directly affects the reliability and safety of bolted joints. Therefore, the bolt looseness detection is very important to ensure the reliability of bolted joints. In this paper, a novel nonlinear ultrasonic wave mixing method is proposed for looseness detection of bolted joints. The basic theory of the nonlinear ultrasonic wave mixing method for detecting the bolt looseness is established. Based on the detection theory, a nonlinear modulation index is defined to quantify the level of bolt looseness. An experimental setup is built to implement the nonlinear ultrasonic wave mixing detection method on bolted joints. Experiments are conducted on two bolted joints with different materials and sizes. The influences of excitation frequencies and voltages of two ultrasonic signals on the detection performance are investigated experimentally. A method is proposed for the selection of appropriate excitation frequencies to improve the detection performance. The experimental results demonstrate that the proposed method can effectively detect bolt looseness and it has good detection sensitivity to the early bolt loosening.
螺栓连接广泛应用于各种机器和工程结构中。螺栓的拧紧状态直接影响螺栓连接的可靠性和安全性。因此,螺栓松动检测对于确保螺栓连接的可靠性非常重要。本文提出了一种用于螺栓连接松动检测的新型非线性超声波混合方法。建立了用于检测螺栓松动的非线性超声波混合方法的基本理论。基于该检测理论,定义了一个非线性调制指数来量化螺栓松动程度。搭建了一个实验装置,以在螺栓连接上实现非线性超声波混合检测方法。对两种不同材料和尺寸的螺栓连接进行了实验。通过实验研究了两个超声信号的激励频率和电压对检测性能的影响。提出了一种选择合适激励频率以提高检测性能的方法。实验结果表明,所提出的方法能够有效地检测螺栓松动,并且对早期螺栓松动具有良好的检测灵敏度。