Xiangrong Li

Xiangrong Li

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Xiangrong Li has a total of 6 co-authors. Here are the top co-authors by number of shared publications:

  • Qiulin Tan

    North University of China

    2 shared publications
  • Li Qin

    State Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan, China

    1 shared publication
  • Lifeng Guo

    First Machinery Group Firmaco Shanxi North Machine-Building Company Ltd., Taiyuan, China

    1 shared publication
  • Xiangrong Li

    Science and Technology on Electronic Test and Measurement Laboratory, the Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, and the School of Semiconductors and Physics, North University of China, Taiyuan, China

    1 shared publication
  • Xiaorui Liang

    State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China

    1 shared publication
  • Xiawen Yan

    State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China

    1 shared publication

Latest Publications

  • Flexible Langasite-Based Surface Acoustic Wave Strain Sensor for High-Temperature Operation

    by Xiangrong Li, Li Qin, Lifeng Guo, Qiulin Tan

    In various types of surface acoustic wave (SAW) strain sensors, diverse piezoelectric substrates have recently been adopted to improve the operation temperature, strain detection range, and strain sensitivity. In this study, we propose a flexible SAW strain sensor based on a 100 μm thin langasite substrate with good linear strain range of 1-1800 με and strain sensitivity of 44.8 Hz/με at room temperature. In addition, the effect of temperature on the strain at temperatures 20-800 °C is measured. The results show that the sensor is affected by temperature at a fixed strain. In fact, varying temperatures or strains cause changes in the measured frequency. Furthermore, in environments wherein both temperature and strain change simultaneously, strain measurements given by changes in frequency are inaccurate. To accurately measure the strain, the interference of temperature should be eliminated. In this study, the intercept and slope are extracted from the curves of the relationship between strain and frequency at different temperatures, and the results are fitted. Therefore, the strain value in complex environments can be accurately estimated, with the proposed sensor being able to provide accurate strain sensing with a measurement error within ±5%.


  • Open Access

    Novel Surface Acoustic Wave Temperature–Strain Sensor Based on LiNbO3 for Structural Health Monitoring

    by Xiangrong Li, Qiulin Tan, Li Qin, Xiawen Yan, Xiaorui Liang

    In this paper, we present the design of an integrated temperature and strain dual-parameter sensor based on surface acoustic waves (SAWs). First, the COMSOL Multiphysics simulation software is used to determine separate frequencies for multiple sensors to avoid interference from their frequency offsets caused by external physical quantity changes. The sensor consists of two parts, a temperature-sensitive unit and strain-sensitive unit, with frequencies of 94.97 MHz and 90.05 MHz, respectively. We use standard photolithography and ion beam etching technology to fabricate the SAW temperature–strain dual-parameter sensor. The sensing performance is tested in the ranges 0–250 °C and 0–700 μԑ. The temperature sensor monitors the ambient temperature in real time, and the strain sensor detects both strain and temperature. By testing the response of the strain sensor at different temperatures, the strain and temperature are decoupled through the polynomial fitting of the intercept and slope. The relationship between the strain and the frequency of the strain-sensitive unit is linear, the linear correlation is 0.98842, and the sensitivity is 100 Hz/μԑ at room temperature in the range of 0–700 μԑ. The relationship between the temperature and the frequency of the temperature-sensitive unit is linear, the linearity of the fitting curve is 0.99716, and the sensitivity is 7.62 kHz/°C in the range of 25–250 °C. This sensor has potential for use in closed environments such as natural gas or oil pipelines.