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High-precision laser ultrasonic VMD-TFM imaging of surface defects on rough surfaces of additive manufactured Ti-6Al-4 V 增材ti - 6al - 4v粗糙表面缺陷的高精度激光超声VMD-TFM成像。
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2025-12-11 DOI: 10.1016/j.ultras.2025.107925
Zhenlong Zhang , Zhaoli Luo , Fei Gao , Yifan Zhang , Lei Chen , Bing Li
Additive manufactured (AM) metallic components have been increasingly applied across various industries. However, due to rapid temperature gradients and non-uniform thermal stresses during fabrication, defects such as cracks and pores are prone to occur. Laser ultrasonic testing faces challenges in achieving high-precision detection and imaging of surface defects on AM components, as strong scattering effects induced by surface roughness introduce considerable high-frequency noise and severely reduce the signal-to-noise ratio of defect echoes. To overcome this limitation, a combined VMD-TFM imaging method is proposed for the detection and characterization of submillimeter-scale surface defects on rough surfaces of AM Ti-6Al-4 V components. The approach introduces the Total Focusing Method (TFM)—originally developed for phased-array ultrasonic—into laser ultrasonic, where delay-compensated and coherently summed signals enable high-resolution, full-coverage imaging of the inspection area. In addition, Variational Mode Decomposition (VMD) is employed as a preprocessing step to denoise and reconstruct the effective signal modes, thereby suppressing high-frequency speckle and artifacts induced by surface roughness and enhancing the imaging precision for submillimeter defects. Validation through 3D surface metrology microscope shows that the spatial overlap between the VMD-TFM imaging and actual defect locations exceed 80 %, with the absolute diameter errors remain below 0.08 mm, confirming the high resolution and reliability of the proposed algorithm. This method provides a new pathway for accurate surface-quality evaluation and establishes a technical foundation for integrating laser ultrasonic testing into real-time monitoring and feedback control in additive manufacturing processes.
增材制造(AM)金属部件已越来越多地应用于各个行业。然而,由于在制造过程中温度梯度快,热应力不均匀,容易产生裂纹和气孔等缺陷。激光超声检测在实现增材制造部件表面缺陷的高精度检测和成像方面面临挑战,由于表面粗糙度引起的强散射效应引入了相当大的高频噪声,严重降低了缺陷回波的信噪比。为了克服这一限制,提出了一种复合VMD-TFM成像方法,用于AM ti - 6al - 4v部件粗糙表面亚毫米级表面缺陷的检测和表征。该方法将全聚焦法(TFM)——最初是为相控阵超声开发的——引入激光超声,其中延迟补偿和相干求和信号可以实现检测区域的高分辨率、全覆盖成像。此外,采用变分模态分解(VMD)作为预处理步骤,对有效信号模进行降噪和重构,从而抑制由表面粗糙度引起的高频散斑和伪影,提高亚毫米缺陷的成像精度。通过三维表面计量显微镜验证,VMD-TFM成像与实际缺陷位置的空间重叠度超过80%,绝对直径误差保持在0.08 mm以下,验证了所提算法的高分辨率和可靠性。该方法为精确评价表面质量提供了新的途径,为将激光超声检测与增材制造过程的实时监测和反馈控制相结合奠定了技术基础。
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引用次数: 0
A new correlation model for ultrasonic attenuation in polycrystals with broad grain size distributions 宽晶粒尺寸分布多晶中超声衰减的新相关模型
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2025-12-10 DOI: 10.1016/j.ultras.2025.107924
Ningyue Sheng, Shahram Khazaie
Ultrasonic characterization of polycrystalline materials is traditionally based on a single-exponential two-point correlation function (TPCF). However, industrial metallic polycrystals often exhibit a wide grain size distribution, for which the classical analytical scattering-induced attenuation frameworks fail to reproduce the experimental measurements. In this paper, we introduce a new closed-form TPCF that embeds the full volumetric grain size distribution through an analytic convolution of spherical grain statistics. The resulting expression naturally reduces to the classical spherical TPCF when the distribution width tends to zero. Coupling this TPCF with Weaver’s framework for elastic wave attenuation produces frequency-dependent attenuation formulas that depend on the first two moments of the grain size distribution. To evaluate the robustness of the proposed model, we generated synthetic aluminum microstructures that span a wide range of coefficients of variation of grain sizes. TPCFs measured from Laguerre–Voronoi tessellation-based microstructures closely match our predictions across a wide range of coefficients of variations (CVs) from moderate to large, whereas other models systematically misestimate the correlation for large CVs. By conducting a series of comparisons with semi-analytical, numerical, and experimental attenuation coefficients reported in the literature, we show the robustness of our model. The proposed formulation, therefore, extends ultrasonic scattering theory to polycrystals with realistically broad grain size distributions, supplying a physically interpretable bridge between measurable grain statistics and macroscopic wave attenuation. This advance opens the door to nondestructive, distribution-aware inversion of microstructural parameters in polycrystalline materials.
多晶材料的超声表征传统上基于单指数两点相关函数(TPCF)。然而,工业金属多晶往往表现出广泛的晶粒尺寸分布,因此经典的分析散射诱导衰减框架无法再现实验测量结果。在本文中,我们引入了一种新的封闭形式的TPCF,它通过球面晶粒统计量的解析卷积嵌入了完整的体积粒度分布。当分布宽度趋于零时,得到的表达式自然地简化为经典的球形TPCF。将该TPCF与Weaver弹性波衰减框架相结合,产生依赖于粒度分布的前两个矩的频率相关衰减公式。为了评估所提出模型的鲁棒性,我们生成了跨越晶粒尺寸变化系数范围的合成铝微观结构。基于Laguerre-Voronoi细分的微观结构测量的tpcf在从中等到大的变异系数(cv)范围内与我们的预测密切匹配,而其他模型系统地错误估计了大cv的相关性。通过与文献中报道的半解析、数值和实验衰减系数进行一系列比较,我们显示了我们模型的鲁棒性。因此,提出的公式将超声散射理论扩展到具有实际宽晶粒尺寸分布的多晶体,在可测量的晶粒统计和宏观波衰减之间提供了物理上可解释的桥梁。这一进展为非破坏性、分布感知的多晶材料微结构参数反演打开了大门。
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引用次数: 0
Attention-Fused Dual-Stream learning for defect classification in thick aerospace CFRPs with complex microstructures using Multi-Angle ultrasonic scattering signatures 基于多角度超声散射特征的航空航天复合材料厚层缺陷融合双流学习
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2025-12-08 DOI: 10.1016/j.ultras.2025.107921
Andong Cao , Songli Tan , Peng Xiao , Qian Li , Wengen Li , Zhen Zhang
Reliable detection of critical defects in thick Carbon Fiber Reinforced Polymers, particularly delamination, is a significant challenge. This task becomes severely complicated when complex microstructures such as fiber waviness limit the effectiveness of conventional ultrasonic testing. To address this, a dual-stream deep learning framework with an efficient and interpretable AttentionFusion module is proposed, which synergistically integrates spatial-morphological information from B-scan images with physics-rich, multi-angle scattering signatures from raw Full Matrix Capture data. Through the adaptive weighing of both static B-scan and dynamic multi-angle inspection streams, the most salient features are leveraged by a YOLOv8-based detector for defect identification. When validated on a dataset consisting of 2776 samples, a 25.8% relative mAP50 improvement over a single-stream baseline was achieved, with this margin increasing to 29.9% on challenging wavy-fiber samples. The critical contribution of the AttentionFusion mechanism was confirmed via ablation studies. Furthermore, the framework’s decision-making process was elucidated through visualization of attention maps, enhancing its transparency. By leveraging raw Full Matrix Capture data often discarded in traditional pipelines, a more accurate and trustworthy solution for automated nondestructive testing in complex aerospace composites is provided.
可靠地检测厚碳纤维增强聚合物的关键缺陷,特别是分层,是一个重大挑战。当纤维波浪形等复杂的微观结构限制了常规超声检测的有效性时,这项任务变得非常复杂。为了解决这个问题,提出了一个具有高效和可解释的注意力融合模块的双流深度学习框架,该框架协同集成了来自b扫描图像的空间形态信息和来自原始全矩阵捕获数据的物理丰富的多角度散射特征。通过对静态b扫描和动态多角度检测流的自适应称重,基于yolov8的检测器可以利用最显著的特征进行缺陷识别。当在包含2776个样本的数据集上进行验证时,与单流基线相比,mAP50的相对提高了25.8%,在具有挑战性的波浪光纤样本上,这一幅度增加到29.9%。消融研究证实了注意力融合机制的关键作用。此外,通过注意图的可视化来阐明该框架的决策过程,提高其透明度。通过利用传统管道中经常丢弃的原始全矩阵捕获数据,为复杂航空航天复合材料的自动化无损检测提供了更准确、更可靠的解决方案。
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引用次数: 0
Inertial Cavitation-based Release Estimation - ICbRE 基于惯性空化的释放估计
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2025-12-06 DOI: 10.1016/j.ultras.2025.107897
Benedikt George , Ula Savšek , Jan Helmerich , Georg Fischer , Dagmar Fischer , Stefan J. Rupitsch
Cancer research increasingly focuses on local drug release in tumorous tissue by using drug carriers. Concurrently, techniques to quantify the associated drug release are under investigation. This study presents a Inertial Cavitation-based Release Estimation (ICbRE) method. The estimation is based on the assessment of inertial cavitation (IC) noise and its correlation to release data. To develop ICbRE, we used poly(lactic-co-glycolic acid) (PLGA) nanocapsules loaded with a fluorescent dye, which were flowed through a tissue-mimicking phantom, and exposed them to focused ultrasound bursts at 550–950 kHz with peak rarefaction pressures (PRP) of 0.22–1.85 MPa, corresponding to mechanical index (MI) values of 0.3–1.9. Cavitation activity was recorded using a passive cavitation detection (PCD) system. By training on acoustic data, we derived weight functions, interpreted as transfer functions, to solve this inverse problem. These weight functions were multiplied by a test set of the acoustic data to estimate payload release. The most accurate estimation showed an absolute error of 0.3% and a standard deviation of 1.9% from the nominal value. Given its precision, we propose the integration of ICbRE into focused ultrasound systems to estimate drug carriers’ payload release. In the course of prospective cancer treatments, a drug’s released payload may be simultaneously quantified while monitoring the cavitation noise to ensure an effective therapy.
肿瘤研究越来越关注利用药物载体在肿瘤组织中局部释放药物。同时,量化相关药物释放的技术正在研究中。提出了一种基于惯性空化的释放估计(ICbRE)方法。该估计是基于对惯性空化(IC)噪声及其与释放数据相关性的评估。为了开发ICbRE,我们使用装载荧光染料的聚乳酸-羟基乙酸(PLGA)纳米胶囊,将其通过组织模拟模体,并将其暴露于550-950 kHz的聚焦超声爆发中,峰值雾化压力(PRP)为0.22-1.85 MPa,对应的机械指数(MI)值为0.3-1.9。采用被动空化检测(PCD)系统记录空化活动。通过对声学数据的训练,我们推导了权函数,解释为传递函数,以解决这个逆问题。这些权重函数乘以一组声学数据来估计有效载荷释放。最准确的估计与标称值的绝对误差为0.3%,标准差为1.9%。鉴于其精度,我们建议将ICbRE集成到聚焦超声系统中,以估计药物载体的有效载荷释放。在前瞻性的癌症治疗过程中,可以在监测空化噪声的同时量化药物释放的有效载荷,以确保有效的治疗。
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引用次数: 0
Acoustical particle conveyors via Bessel-beam superposition 贝塞尔光束叠加的声学粒子传送带
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2025-12-05 DOI: 10.1016/j.ultras.2025.107918
Jianrong Shi , Xuemei Ren , Yubo Shi , Boyuan Tang , Zheng Xu , Xiaojun Liu
We proposed an on-axis, multi-bottle beam by superposing two coaxial acoustic Bessel beams to produce acoustical particle conveyors. The spatial acoustic pressure distribution and source phase, determined solely by lateral wavenumber kr and the radius of the circular source, were derived to establish a theoretical basis for precise ultrasound field control. These conveyors exploit strong-gradient acoustic radiation forces at acoustic bottles, enabling stable trapping of micrometer-scale Rayleigh particles in free space. By fine-tuning the incident acoustic frequency, our acoustic tweezers can trap, push, and pull multiple particles along the propagation axis. We discussed the optimization of kr-dependent phase lens, focusing on the selection of kr values and the number of simultaneously emitting Bessel beams, which improves field observation and enhances trapping stability. The system employs only a single acoustic source and a phase lens, offering potential for cell manipulation and targeted medical treatments in vivo.
我们提出了一种轴上多瓶光束,通过叠加两个同轴声贝塞尔光束来产生声学粒子输送机。推导了仅由横向波数kr和圆形声源半径决定的空间声压分布和声源相位,为超声场的精确控制奠定了理论基础。这些传送带利用声瓶上的强梯度声辐射力,在自由空间中稳定捕获微米尺度的瑞利粒子。通过微调入射声波频率,我们的声镊可以沿着传播轴捕获、推动和拉动多个粒子。我们讨论了依赖于kr的相位透镜的优化,重点是kr值的选择和同时发射贝塞尔光束的数量,以改善现场观测和提高捕获稳定性。该系统仅采用单一声源和相位透镜,为细胞操作和体内靶向医学治疗提供了潜力。
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引用次数: 0
Tool wear mechanism in ultrasonic-assisted grinding of SiCf/SiC composites 超声辅助磨削SiCf/SiC复合材料刀具磨损机理
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2025-12-05 DOI: 10.1016/j.ultras.2025.107920
Haiqi Sun, Zhigang Dong, Feng Yang, Yan Bao, Renke Kang, Jiansong Sun
Under severe cooling conditions, machining SiCf/SiC composites leads to pronounced tool wear, compromising machining efficiency. While ultrasonic-assisted grinding (UAG) demonstrates potential for enhancing surface quality, the wear characteristics of grinding tools in this process remain insufficiently characterized. This study employs tribological and kinematic analysis coupled with experimental verification to elucidate wear mechanisms. Results identify four principal wear modes: abrasive wear, fracture wear, grain detachment, and wheel clogging, involving both two-body and three-body wear. High-frequency ultrasonic vibrations induce surface microfracture of abrasive particles while sinusoidal scratch patterns form on the bond. Ultrasonic vibration substantially reduces debris adhesion, minimizing wheel clogging and extending tool life, thereby enhancing grinding performance. These findings facilitate parameter optimization for UAG in high-performance ceramic matrix composites.
在恶劣的冷却条件下,加工SiCf/SiC复合材料会导致明显的刀具磨损,从而影响加工效率。虽然超声辅助磨削(UAG)显示出提高表面质量的潜力,但在此过程中磨削工具的磨损特性仍然没有得到充分的表征。本研究采用摩擦学和运动学分析结合实验验证来阐明磨损机理。研究结果确定了磨粒磨损、断裂磨损、颗粒脱落和车轮堵塞四种主要磨损模式,包括两体磨损和三体磨损。高频超声振动诱发磨粒表面微断裂,同时在粘结层上形成正弦划痕。超声波振动大大减少了碎屑附着,减少了砂轮堵塞,延长了刀具寿命,从而提高了磨削性能。这些发现有助于高性能陶瓷基复合材料中UAG的参数优化。
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引用次数: 0
Bubble rising dynamics in a transverse ultrasonic standing wave field: Role of acoustic-induced viscous dissipation 超声横驻波场中气泡上升动力学:声致粘滞耗散的作用
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2025-12-04 DOI: 10.1016/j.ultras.2025.107899
Zeyang Xu , Yuao Chai , Liqiang Ma , Chao Deng , Yiyi Huo , Yiding Zhu
The dynamics of rising bubbles in water under a transversely oriented ultrasonic standing wave field was experimentally investigated. The acoustic field distribution was characterized using scanning focused laser differential interferometry (SFLDI). The bubbles’ trajectories were captured by high-speed imaging, from which velocities and accelerations were calculated. High-magnification particle image velocimetry (PIV) was employed to examine the surrounding flow field in detail. Results showed that bubbles in the presence of ultrasound (BPU) exhibited a 25%–56% velocity reduction compared to bubbles in the absence of ultrasound (BAU). Released from the tank bottom, BPU were immediately drawn by the transverse Bjerknes force and ascended along the nodal region of the standing waves. As BPU accelerated, they experienced a significant quasi-periodical deceleration–acceleration motion. PIV analysis revealed that this phenomenon was strongly correlated with increased boundary layer shear and enhanced vortex shedding, resulting in severe viscous dissipation induced by the acoustic field. These findings provided new insights for bubble manipulation in ultrasonic-assisted chemical engineering, mineral processing, and biomedical applications.
实验研究了横定向超声驻波场作用下水中气泡上升的动力学特性。采用扫描聚焦激光微分干涉法(SFLDI)对声场分布进行了表征。高速成像捕捉到了气泡的轨迹,并由此计算出速度和加速度。采用高倍粒子图像测速技术(PIV)对周围的流场进行了详细的检测。结果表明,超声存在下的气泡(BPU)比无超声存在下的气泡(BAU)速度降低25%-56%。从槽底释放出来后,BPU立即被横向比耶克内斯力牵引,沿驻波节点区域上升。随着BPU加速,它们经历了显著的准周期性减速-加速运动。PIV分析表明,这一现象与边界层剪切增加和旋涡脱落增强密切相关,导致声场引起严重的粘性耗散。这些发现为超声辅助化学工程、矿物加工和生物医学应用中的气泡操纵提供了新的见解。
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引用次数: 0
Sparse spatial-partition probabilistic imaging method for debonding evaluation of composite wing leading edge using ultrasonic guided wave 超声导波复合材料机翼前缘剥离评估的稀疏空间分割概率成像方法。
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2025-12-04 DOI: 10.1016/j.ultras.2025.107917
Yuxi Zhang , Qi Wu , Hanqi Zhang , Wulin Lan
The composite wing leading edge (CWLE) is a critical component that determines the aerodynamic characteristics of airplanes operating in harsh environments. A large CWLE, composed of multiple material layers in a curved, sandwiched structure with varying thicknesses, is prone to debonding during both manufacturing and service. Conventional ultrasonic C-scans using bulk waves require extensive time for offline testing, making it essential to develop an efficient debonding evaluation method suitable for CWLE. This study implemented a pair of PZT arrays, functioning as excitation and reception arrays, in a section of CWLE at equal intervals to create sparse regions. A novel sparse spatial-partition probabilistic imaging method was proposed to localize debonding based on changes in ultrasonic guided waves, offering advantages of speed, baseline-free operation, and multi-feature fusion. Performance disparities among PZTs due to manufacturing and installation were addressed through comparison and compensation. The damage index of the guided wave was calculated by combining amplitude and arrival time, and the weight distribution of the sensing path, with different shape factors, was multiplied by the damage index to determine the regional probability. After determining the region with the highest probability, the probabilities on the paths between the PZT within this region and its opposing PZTs were given more weights, ultimately yielding a probability image that clearly pinpoints the debonding location. The debonding results were validated through CT scanning with a localization error of 5.02 mm. A comparison with conventional guided wave-based localization methods demonstrates that the proposed method achieves superior damage localization accuracy while maintaining equally high efficiency. The method is also validated under different measurement areas within a larger scale CWLE, showing the similar root mean square errors as that from the small scale CWLE. It suggests that the proposed method offers an efficient and accurate approach to debonding evaluation in complex material structures such as CWLE.
复合材料机翼前缘(CWLE)是决定恶劣环境下飞机气动特性的关键部件。大型CWLE由不同厚度的弯曲夹层结构中的多个材料层组成,在制造和使用过程中都容易脱落。使用体波的常规超声c扫描需要大量的离线测试时间,因此开发一种适用于CWLE的高效脱粘评估方法至关重要。本研究在CWLE的一段中以等间隔实现一对PZT阵列,作为激励和接收阵列,以创建稀疏区域。提出了一种基于超声导波变化的稀疏空间分割概率成像方法,该方法具有快速、无基线、多特征融合等优点。通过比较和补偿,解决了由于制造和安装造成的pzt性能差异。结合幅值和到达时间计算导波的损伤指数,并将不同形状因子的感应路径权重分布乘以损伤指数,确定区域概率。在确定概率最高的区域后,对该区域内PZT与其对立PZT之间的路径上的概率赋予更多权重,最终得到一个明确确定脱粘位置的概率图像。通过CT扫描验证脱粘结果,定位误差为5.02 mm。与传统导波定位方法的比较表明,该方法在保持较高的定位效率的同时,具有较高的损伤定位精度。在更大规模CWLE的不同测量区域下对该方法进行了验证,结果表明该方法与小规模CWLE的均方根误差相似。结果表明,该方法为复杂材料结构(如CWLE)的脱粘评估提供了一种高效、准确的方法。
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引用次数: 0
A Nitinol Langevin transducer with resonance tuneability for adaptive ultrasonic applications 一种适用于自适应超声应用的镍钛诺朗格万换能器
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2025-12-03 DOI: 10.1016/j.ultras.2025.107916
Mahshid Hafezi , Yuchen Liu , Andrew Feeney
In power ultrasonics, the Langevin ultrasonic transducer has been widely utilised across medical and industrial applications, including for bone surgery, food cutting, and cavitation generation. Transducers for these applications are typically tuned to a fundamental operating mode, often the first longitudinal, for optimal interaction with a target material or structure. Currently, there is a growing interest in ultrasonic devices with tuneable dynamic properties, including resonance frequency, for optimising performance in these applications. To overcome limited frequency tuning capabilities of current configurations, this study demonstrates a Langevin transducer which is designed and fabricated incorporating the shape memory alloy Nitinol as its end masses. The rationale is that the change in elastic properties of these end masses with temperature will induce a change in the fundamental resonance frequency of the transducer, thereby demonstrating a viable and novel approach to controlling resonance frequency. Laser Doppler Vibrometry was used to characterise the first and third longitudinal modes at room temperature, correlating closely with finite element analysis results. Harmonic analysis was then conducted at various environmental temperatures to show changes in the resonance frequencies and vibration amplitudes of both modes as functions of temperature. The tuneable resonance of the Nitinol Langevin transducer (NLT) has a dependency on changes in the thermomechanical properties of Nitinol from its martensitic phase transformation, demonstrated through structural design factors. The transducer exhibits maximum resonance frequency increases of above 15 % and 10 % for the L1 and L3 modes respectively, between 30 °C and 100 °C. This research enables a new generation of Langevin ultrasonic transducers fabricated using advanced materials for multifrequency and tuneable resonance applications.
在功率超声中,朗格万超声换能器已广泛应用于医疗和工业应用,包括骨手术、食物切割和空化产生。用于这些应用的换能器通常被调谐到基本工作模式,通常是第一纵向,以便与目标材料或结构进行最佳相互作用。目前,人们对具有可调谐动态特性(包括共振频率)的超声设备越来越感兴趣,以优化这些应用中的性能。为了克服当前结构有限的频率调谐能力,本研究展示了一种采用形状记忆合金镍钛诺作为末端质量设计和制造的朗格万传感器。其基本原理是,这些末端质量的弹性特性随温度的变化将引起换能器基本共振频率的变化,从而证明了一种可行的和新颖的方法来控制共振频率。用激光多普勒振动仪表征了室温下的第一和第三纵向模态,与有限元分析结果密切相关。然后在不同的环境温度下进行谐波分析,以显示两种模态的共振频率和振动幅值随温度的变化。镍钛诺朗格万换能器(NLT)的可调谐共振依赖于镍钛诺马氏体相变引起的热机械性能的变化,这可以通过结构设计因素来证明。换能器在30°C和100°C之间,L1和L3模式的最大谐振频率分别增加15%和10%以上。这项研究使新一代的朗格万超声波换能器能够使用先进的材料制造,用于多频率和可调谐共振应用。
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引用次数: 0
Minimal angular compounding required for coherence-based sound speed estimation with plane wave ultrasound imaging 平面波超声成像相干声速估计所需的最小角复合。
IF 4.1 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2025-12-01 DOI: 10.1016/j.ultras.2025.107915
Mawia Khairalseed , Jiaxin Zhang , Muyinatu A. Lediju Bell
Conventional ultrasound beamforming assumes a uniform sound speed of 1540 m/s, which neglects tissue heterogeneity and results in phase aberrations and image degradation. Our recently introduced coherence-based sound speed estimation approach overcomes this limitation by assessing the short-lag spatial coherence within a coherent region of interest and selecting the sound speed that maximizes coherence, initially demonstrated after compounding images from 75 steered plane wave angles. However, using fewer angles will reduce required processing times. This study investigates the minimum number of steered angles necessary to implement our coherence-based sound speed estimation approach. In experiments with tissue-mimicking phantoms, a minimum of three steered plane wave angles was necessary to produce a similar full width at half maximum (FWHM) to that obtained with 75 angles, representing FWHM improvements of 67.19% over a sound speed of 1540 m/s and 65.31% over a speckle brightness maximization method. In vivo testing on the brachioradialis muscle demonstrated that the coherence-based method achieved a mean amplitude artifact reduction of 4.73 dB when compared to the same region in an image produced with a sound speed of 1540 m/s, using three angles in both cases. Overall, a minimum of 3–7 angles can be employed to estimate sound speeds using our coherence-based approach for plane wave images. Results have the potential to improve ultrasound imaging workflows and enhance diagnostic accuracy in clinical practice.
传统的超声波束形成假设声速为1540 m/s,忽略了组织的非均匀性,导致相位像差和图像退化。我们最近推出的基于相干的声速估计方法克服了这一限制,通过评估感兴趣的相干区域内的短滞后空间相干性,并选择最大相干性的声速,最初是在合成来自75个定向平面波角的图像后证明的。然而,使用更少的角度将减少所需的处理时间。本研究探讨了实现我们基于相干的声速估计方法所需的最小转向角数。在模拟组织的实验中,最少需要3个操纵平面波角才能产生与75个角度时相似的半最大全宽(FWHM),这表明在声速1540 m/s时,FWHM提高了67.19%,比散斑亮度最大化方法提高了65.31%。在肱桡肌上进行的体内测试表明,与声速1540 m/s产生的图像的相同区域相比,在两种情况下使用三个角度,基于相干的方法实现了4.73 dB的平均伪振幅减少。总的来说,使用我们基于相干的平面波图像方法,至少可以使用3-7个角度来估计声速。结果有可能改善超声成像工作流程,提高临床实践中的诊断准确性。
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引用次数: 0
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