Transmission through a phononic crystal of metallic rods in a viscous environment is numerically calculated. The cross-section of the rods is selected to be asymmetric to provide very different transmission in opposite directions along a given crystallographic line. Difference in transmission contains the reciprocal part, caused by asymmetry of the scatterers, and the truly nonreciprocal part, related to nonequal viscous losses for sound waves propagating in opposite directions. The rectification ratio for different levels of asymmetry is evaluated and optimized over its value at a fixed frequency, with various machine learning models. The possibility of using asymmetric phononic crystals as acoustic diodes is discussed.
{"title":"Optimization of Nonreciprocal Transmission Through Dissipative Phononic Crystals With Machine Learning Techniques","authors":"Dmitrii Shymkiv;Arnav Mazumder;Jesús Arriaga;Arkadii Krokhin","doi":"10.1109/OJUFFC.2023.3334234","DOIUrl":"https://doi.org/10.1109/OJUFFC.2023.3334234","url":null,"abstract":"Transmission through a phononic crystal of metallic rods in a viscous environment is numerically calculated. The cross-section of the rods is selected to be asymmetric to provide very different transmission in opposite directions along a given crystallographic line. Difference in transmission contains the reciprocal part, caused by asymmetry of the scatterers, and the truly nonreciprocal part, related to nonequal viscous losses for sound waves propagating in opposite directions. The rectification ratio for different levels of asymmetry is evaluated and optimized over its value at a fixed frequency, with various machine learning models. The possibility of using asymmetric phononic crystals as acoustic diodes is discussed.","PeriodicalId":73301,"journal":{"name":"IEEE open journal of ultrasonics, ferroelectrics, and frequency control","volume":"3 ","pages":"186-193"},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322727","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138570758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-25DOI: 10.1109/OJUFFC.2023.3318560
Michelle K. Sigona;Thomas J. Manuel;M. Anthony Phipps;Kianoush Banaie Boroujeni;Robert Louie Treuting;Thilo Womelsdorf;Charles F. Caskey
Optical tracking is a real-time transducer positioning method for transcranial focused ultrasound (tFUS) procedures, but the predicted focus from optical tracking typically does not incorporate subject-specific skull information. Acoustic simulations can estimate the pressure field when propagating through the cranium but rely on accurately replicating the positioning of the transducer and skull in a simulated space. Here, we develop and characterize the accuracy of a workflow that creates simulation grids based on optical tracking information in a neuronavigated phantom with and without transmission through an ex vivo skull cap. The software pipeline could replicate the geometry of the tFUS procedure within the limits of the optical tracking system (transcranial target registration error (TRE): 3.9 ± 0.7 mm). The simulated focus and the free-field focus predicted by optical tracking had low Euclidean distance errors of 0.5 ± 0.1 and 1.2 ± 0.4 mm for phantom and skull cap, respectively, and some skull-specific effects were captured by the simulation. However, the TRE of simulation informed by optical tracking was 4.6 ± 0.2, which is as large or greater than the focal spot size used by many tFUS systems. By updating the position of the transducer using the original TRE offset, we reduced the simulated TRE to 1.1 ± 0.4 mm. Our study describes a software pipeline for treatment planning, evaluates its accuracy, and demonstrates an approach using MR-acoustic radiation force imaging as a method to improve dosimetry. Overall, our software pipeline helps estimate acoustic exposure, and our study highlights the need for image feedback to increase the accuracy of tFUS dosimetry.
{"title":"Generating Patient-Specific Acoustic Simulations for Transcranial Focused Ultrasound Procedures Based on Optical Tracking Information","authors":"Michelle K. Sigona;Thomas J. Manuel;M. Anthony Phipps;Kianoush Banaie Boroujeni;Robert Louie Treuting;Thilo Womelsdorf;Charles F. Caskey","doi":"10.1109/OJUFFC.2023.3318560","DOIUrl":"https://doi.org/10.1109/OJUFFC.2023.3318560","url":null,"abstract":"Optical tracking is a real-time transducer positioning method for transcranial focused ultrasound (tFUS) procedures, but the predicted focus from optical tracking typically does not incorporate subject-specific skull information. Acoustic simulations can estimate the pressure field when propagating through the cranium but rely on accurately replicating the positioning of the transducer and skull in a simulated space. Here, we develop and characterize the accuracy of a workflow that creates simulation grids based on optical tracking information in a neuronavigated phantom with and without transmission through an ex vivo skull cap. The software pipeline could replicate the geometry of the tFUS procedure within the limits of the optical tracking system (transcranial target registration error (TRE): 3.9 ± 0.7 mm). The simulated focus and the free-field focus predicted by optical tracking had low Euclidean distance errors of 0.5 ± 0.1 and 1.2 ± 0.4 mm for phantom and skull cap, respectively, and some skull-specific effects were captured by the simulation. However, the TRE of simulation informed by optical tracking was 4.6 ± 0.2, which is as large or greater than the focal spot size used by many tFUS systems. By updating the position of the transducer using the original TRE offset, we reduced the simulated TRE to 1.1 ± 0.4 mm. Our study describes a software pipeline for treatment planning, evaluates its accuracy, and demonstrates an approach using MR-acoustic radiation force imaging as a method to improve dosimetry. Overall, our software pipeline helps estimate acoustic exposure, and our study highlights the need for image feedback to increase the accuracy of tFUS dosimetry.","PeriodicalId":73301,"journal":{"name":"IEEE open journal of ultrasonics, ferroelectrics, and frequency control","volume":"3 ","pages":"146-156"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9292640/10031625/10262121.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49930455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.1109/OJUFFC.2023.3317363
S. R. Sandeep Kumar;Vineeth P. Ramachandran;Krishnan Balasubramaniam;Prabhu Rajagopal
Cylindrical or circular rod-type waveguides are of much interest in applications such as measurement of flow, temperature, material properties in harsh environments, and also in medical diagnostics. However, multiple waveguide modes exist in such systems, out of which only some are of interest to certain applications. For example, L(0,3) longitudinal mode excitation can optimally transmit elastic waves into the test specimen and help in better sensing and measurement when compared to other modes within the family of longitudinal guided waves. This paper demonstrates the up-conversion of longitudinal modes within the family of guided ultrasonic rod waves (from L(0,2) to L(0,3)), which is of interest to certain waveguide transducer applications. The mode up-conversion is demonstrated using numerical simulations and experiments. An analysis is used to bring more insights and guide the design of the metamaterial in this process.
{"title":"Graded Elastic Waveguide Metamaterial Rod for Up-Conversion of Longitudinal Axisymmetric Guided Ultrasonic Wave Modes","authors":"S. R. Sandeep Kumar;Vineeth P. Ramachandran;Krishnan Balasubramaniam;Prabhu Rajagopal","doi":"10.1109/OJUFFC.2023.3317363","DOIUrl":"https://doi.org/10.1109/OJUFFC.2023.3317363","url":null,"abstract":"Cylindrical or circular rod-type waveguides are of much interest in applications such as measurement of flow, temperature, material properties in harsh environments, and also in medical diagnostics. However, multiple waveguide modes exist in such systems, out of which only some are of interest to certain applications. For example, L(0,3) longitudinal mode excitation can optimally transmit elastic waves into the test specimen and help in better sensing and measurement when compared to other modes within the family of longitudinal guided waves. This paper demonstrates the up-conversion of longitudinal modes within the family of guided ultrasonic rod waves (from L(0,2) to L(0,3)), which is of interest to certain waveguide transducer applications. The mode up-conversion is demonstrated using numerical simulations and experiments. An analysis is used to bring more insights and guide the design of the metamaterial in this process.","PeriodicalId":73301,"journal":{"name":"IEEE open journal of ultrasonics, ferroelectrics, and frequency control","volume":"3 ","pages":"157-165"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9292640/10031625/10256115.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49930456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-12DOI: 10.1109/OJUFFC.2023.3314396
Kunqi Huang;Yuanyuan Li;Yun Lai;Xiaozhou Liu
Phononic crystals are artificial periodic structural composites. With the introduction of nonlinearity, nonlinear phononic crystals(NPCs) have shown some novel properties beyond their linear counterparts and thus attracted significant interest recently. Among these novel properties, the second harmonic characteristics have potential applications in the fields of acoustic frequency conversion, non-reciprocal propagation, and nondestructive testing. Therefore, how to accurately manipulate the second harmonic band structure is a main challenge for the design of NPCs. Traditional design methods are based on parametric analysis and continuous trials, leading to low design efficiency and poor performance. Here, we construct the convolutional neural networks(CNNs) and the generalized regression neural networks(GRNNs) to inversely design the physical and geometric parameters of NPCs using the information of harmonic transmission curves. The results show that the inverse design method based on neural networks is effective in designing the NPCs. In addition, the CNNs have better prediction accuracy while the GRNNs have a shorter training time. These methods also can be applied to the design of higher-order harmonic band structures. This work confirms the feasibility of neural networks for designing the NPCs efficiently according to target harmonic band structures and provides a useful reference for inverse design of metamaterials.
{"title":"Neural Network-Based Inverse Design of Nonlinear Phononic Crystals","authors":"Kunqi Huang;Yuanyuan Li;Yun Lai;Xiaozhou Liu","doi":"10.1109/OJUFFC.2023.3314396","DOIUrl":"https://doi.org/10.1109/OJUFFC.2023.3314396","url":null,"abstract":"Phononic crystals are artificial periodic structural composites. With the introduction of nonlinearity, nonlinear phononic crystals(NPCs) have shown some novel properties beyond their linear counterparts and thus attracted significant interest recently. Among these novel properties, the second harmonic characteristics have potential applications in the fields of acoustic frequency conversion, non-reciprocal propagation, and nondestructive testing. Therefore, how to accurately manipulate the second harmonic band structure is a main challenge for the design of NPCs. Traditional design methods are based on parametric analysis and continuous trials, leading to low design efficiency and poor performance. Here, we construct the convolutional neural networks(CNNs) and the generalized regression neural networks(GRNNs) to inversely design the physical and geometric parameters of NPCs using the information of harmonic transmission curves. The results show that the inverse design method based on neural networks is effective in designing the NPCs. In addition, the CNNs have better prediction accuracy while the GRNNs have a shorter training time. These methods also can be applied to the design of higher-order harmonic band structures. This work confirms the feasibility of neural networks for designing the NPCs efficiently according to target harmonic band structures and provides a useful reference for inverse design of metamaterials.","PeriodicalId":73301,"journal":{"name":"IEEE open journal of ultrasonics, ferroelectrics, and frequency control","volume":"3 ","pages":"166-175"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9292640/10031625/10247576.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49930457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-21DOI: 10.1109/OJUFFC.2023.3307085
Kangfu Liu;Yaoqing Lu;Sheng Wu;Xinxin Li;Tao Wu
This work proposes the piezoelectric micromachined ultrasonic transducer (pMUT) design using high-order mode. Analytical models are established and used to estimate the performance of pMUT in ${n} ^{text {th}}$