Ultrasonic imaging technology has advanced rapidly,the escalating demand for imaging quality has driven the continuous development of ultrasonic transducers featuring high-performance.Among them,the crucial factors co...Ultrasonic imaging technology has advanced rapidly,the escalating demand for imaging quality has driven the continuous development of ultrasonic transducers featuring high-performance.Among them,the crucial factors constraining the further enhancement of imaging quality are the frequency of the device and the intensity of the echo signal.Piezoelectric composites have become a hotspot for ultrasonic transducers and imaging applications due to their excellent properties.However,due to the limitations of the accuracy of the cutting process,the development of piezoelectric/polymer composites is often undermined by undesirable pseudo-vibrations,especially in high-frequency applications,which will significantly reduce energy conversion efficiency.In this study,a novel design method of 1e3 piezoelectric composites with gradient nanoparticle doped polymer is proposed to eliminate the undesired lateral vibrations.Based on the optimized composites,a high-performance composite ultrasonic transducer with a center frequency of 8.51 MHz is prepared.Compared with the traditional composite transducer,the optimized transducer improves the echo voltage amplitude significantly,reaching nearly 3 times.The above advantages are further verified in high-quality ultrasound and photoacoustic imaging.The optimization method has valuable guidance for the design of high-frequency composite transducers,which have great potential in ultrasonic and photoacoustic imaging applications.展开更多
In this paper,two optimized autofocusing metasurfaces(AFMs)with different desired focal distances are designed by using particle swarm optimization(PSO)algorithm.Based on the ffnite element simulation software COMSOL ...In this paper,two optimized autofocusing metasurfaces(AFMs)with different desired focal distances are designed by using particle swarm optimization(PSO)algorithm.Based on the ffnite element simulation software COMSOL Multiphysics,the performance of ultrasound transducer(UT)with AFM at different design parameters in Airy distributions(r0,ω)and the bottom thickness(d)of AFM are simulated and analyzed.Based on the simulation data,the artiffcial neural network model is trained to describe the complex relationship between the design parameters of AFM and the performance parameters of UT.Then,the multiobjective optimization function for AFM is determined according to the desired performance parameters of UT,including focal position,lateral resolution,longitudinal resolution and absolute sound pressure.In order to obtain AFMs with the desired performance,PSO algorithm is adopted to optimize the design parameters of AFM according to the multiobjective optimization function,and two AFMs are optimized and fabricated.The experimental results well agree with the simulation and optimization results,and the optimized AFMs can achieve the desired performance.The fabricated AFM can be easily integrated with UT,which has great potential applications in wave ffeld modulation underwater,acoustic tweezers,biomedical imaging,industrial nondestructive testing and neural regulation.展开更多
基金supported by the National Natural Science Foundations of China(No.62304165)the Fundamental Research Funds for the Central Universities(No.ZYTS25224,ZYTS25214)+4 种基金the China postdoctoral science foundation(No.2023M732745,No.2024T170691)Shaanxi Province Postdoctoral Scientific Research Project Grant(No.30102230001)Macao Young Scholars Program of the China postdoctoral science foundation(No.AM2024013)the Natural Science Foundation of Liaoning Province-Joint Open Fund of State Key Laboratory of Robotics(No.2022-KF-22-03)Natural Science Fundamental Research Project of Shaanxi Province of China(No.2023-JC-QN-0709).
文摘Ultrasonic imaging technology has advanced rapidly,the escalating demand for imaging quality has driven the continuous development of ultrasonic transducers featuring high-performance.Among them,the crucial factors constraining the further enhancement of imaging quality are the frequency of the device and the intensity of the echo signal.Piezoelectric composites have become a hotspot for ultrasonic transducers and imaging applications due to their excellent properties.However,due to the limitations of the accuracy of the cutting process,the development of piezoelectric/polymer composites is often undermined by undesirable pseudo-vibrations,especially in high-frequency applications,which will significantly reduce energy conversion efficiency.In this study,a novel design method of 1e3 piezoelectric composites with gradient nanoparticle doped polymer is proposed to eliminate the undesired lateral vibrations.Based on the optimized composites,a high-performance composite ultrasonic transducer with a center frequency of 8.51 MHz is prepared.Compared with the traditional composite transducer,the optimized transducer improves the echo voltage amplitude significantly,reaching nearly 3 times.The above advantages are further verified in high-quality ultrasound and photoacoustic imaging.The optimization method has valuable guidance for the design of high-frequency composite transducers,which have great potential in ultrasonic and photoacoustic imaging applications.
基金supported by the National Natural Science Foundations of China(Nos.62104177 and 61974110)Shenzhen Science Technology and Fundamental Research and Discipline Layout Project(No.JCYJ20170818153048647)+2 种基金Natural Science Foundations of Shaanxi Province(No.2020JM-205)Shaanxi Provincial Association of Science and Technology Young Talents Support Project(No.20190105)the Fundamental Research Funds for the Central Universities(Nos.XJS211105 and JBF211103).
文摘In this paper,two optimized autofocusing metasurfaces(AFMs)with different desired focal distances are designed by using particle swarm optimization(PSO)algorithm.Based on the ffnite element simulation software COMSOL Multiphysics,the performance of ultrasound transducer(UT)with AFM at different design parameters in Airy distributions(r0,ω)and the bottom thickness(d)of AFM are simulated and analyzed.Based on the simulation data,the artiffcial neural network model is trained to describe the complex relationship between the design parameters of AFM and the performance parameters of UT.Then,the multiobjective optimization function for AFM is determined according to the desired performance parameters of UT,including focal position,lateral resolution,longitudinal resolution and absolute sound pressure.In order to obtain AFMs with the desired performance,PSO algorithm is adopted to optimize the design parameters of AFM according to the multiobjective optimization function,and two AFMs are optimized and fabricated.The experimental results well agree with the simulation and optimization results,and the optimized AFMs can achieve the desired performance.The fabricated AFM can be easily integrated with UT,which has great potential applications in wave ffeld modulation underwater,acoustic tweezers,biomedical imaging,industrial nondestructive testing and neural regulation.
