New Developments in Ultrasonic Transducer Design and Sensing Technology
1Northwestern Polytechnical University, Xi'an, China
2University of Edinburgh, Edinburgh, UK
3Beijing University of Technology, Beijing, China
New Developments in Ultrasonic Transducer Design and Sensing Technology
Description
Ultrasonic sensing methods have been widely applied to the chemical, construction, aerospace, and medical industries, among many others. Ultrasonic sensing can detect objects across a range of solids, liquids, gases, and mixtures, and is therefore an important technical measure in the field of non-destructive testing and evaluation. The accuracy and reliability of ultrasonic transducers are key factors when understanding in-depth complicated phenomena and facilitating structure improvement and diagnosis and prognosis of faults.
However, ultrasonic sensing performance and signal analysis always involves the influence of multiple physics fields, such as acoustic fields, electric fields, temperature fields, and stress fields. Coupling different physics fields poses numerous challenges on a theoretical level, technical level, and an engineering application level. Sensing system design, signal processing and analysis, and field modelling have all become topics of increasing research interest in recent years.
Considering the effect of multi-physics coupling, this Special Issue aims to present innovations and improvements in the field of advanced ultrasonic transducers and sensing technologies, including theory, design, modeling, configuration, characterization, efficient data processing, and data analysis algorithms. We welcome both original research and review articles.
Potential topics include but are not limited to the following:
- Novel ultrasonic transducer structure design, parameter optimization, and implementation
- Ultrasonic sensing principles for multi-physics coupling
- Multi-physics coupling modelling and analysis, including temperature, humidity, velocity, and mechanical fields
- Multi-functional sensor design and testing
- Distributed and connected sensing methods
- Smart sensing networks
- Artificial intelligence-based signal processing algorithms
- Portable and high-performance sensing devices
- Automatic detection devices and equipment
- Industrial process monitoring