Yiqi Cai;Yue Yang;Chenan Shi;Lin Chen;Lijun Xu;Jianguo Ma
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Ultrasound Transducer Design Based on Anti-Matching Layer Structure
The matching layer in ultrasound transducer design plays a crucial role in efficiently transmitting ultrasound waves, thereby significantly improving the performance of the transducers. Extensive research has been conducted on the design of matching layers due to their importance. Conversely, structures capable of suppressing acoustic waves are equally vital for transducer design. However, the mechanisms for acoustic wave suppression have not been thoroughly explored, leading to a lack of theoretical foundation and innovative design concepts for these application-specific transducers. In this article, we introduce a double-layer impedance anti-matching (AM) mechanism that identifies four cases of acoustic suppression. We validate the acoustic suppression performance of the AM structure through theoretical analysis, simulations, and experimental testing. Furthermore, we apply the double-layer AM structure in the design of an array ultrasound transducer and compare its performance with that of traditional transducers, presenting the AM structure as a novel approach to ultrasound transducer design.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice