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Twice reflected ultrasonic bulk wave for surface defect monitoring 用于表面缺陷监测的两次反射超声波体波
IF 3.8 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2024-11-26 DOI: 10.1016/j.ultras.2024.107530
Voon-Kean Wong , Xiaotian Li , Yasmin Mohamed Yousry , Marilyne Philibert , Chao Jiang , David Boon Kiang Lim , Percis Teena Christopher Subhodayam , Zheng Fan , Kui Yao
This work offers an ultrasonic structural health monitoring (SHM) approach for assessing the defects located on the same surface and at one side of piezoelectric ultrasonic transducer array. It is based on the analysis of ultrasonic bulk wave travelling in the thickness direction obtained from an enhanced full-skip configuration of the time-of-flight diffraction (TOFD) technique. In contrast to existing TOFD setup only considering the direct paths between the ultrasonic transducer and defect, our ultrasound monitoring configuration involves twice reflected ultrasonic bulk wave (TRBW). The TRBW travels following the propagation route from an ultrasonic transmitter located at the same side of the defect initiated, the backwall, the defect tip, the backwall again and finally to the same or another ultrasonic transducer. Both theoretical analyses and experimental validations have been conducted in our study. A simplified algorithm for efficient detection and mapping the growth of a surface defect in an aluminum alloy block has been demonstrated with an incremental surface defect growth starting from 2.80 mm in depth, in which conformable direct-write ultrasonic transducers (DWT) made of in-situ piezoelectric coating are implemented. Our approach provides an ultrasonic method for effective monitoring the near surface defects with the ultrasonic transducers conveniently implemented on the same surface and at the same side of the defects.
这项研究提供了一种超声波结构健康监测(SHM)方法,用于评估位于同一表面和压电超声波换能器阵列一侧的缺陷。该方法基于对飞行时间衍射(TOFD)技术的增强型全滑配置所获得的沿厚度方向传播的超声波体波的分析。与只考虑超声换能器和缺陷之间直接路径的现有 TOFD 设置不同,我们的超声监测配置涉及两次反射超声体波(TRBW)。TRBW 的传播路线是从位于缺陷同侧的超声波发射器开始,经过后墙、缺陷尖端、后墙,最后到达同一个或另一个超声波换能器。我们在研究中进行了理论分析和实验验证。我们展示了一种用于有效检测和绘制铝合金块表面缺陷生长图的简化算法,其表面缺陷从 2.80 毫米深度开始递增,其中采用了由原位压电涂层制成的保形直写超声换能器 (DWT)。我们的方法提供了一种有效监测近表面缺陷的超声波方法,超声波换能器可以方便地安装在缺陷的同一表面和同一侧。
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引用次数: 0
Numerical and experimental study of echogenicity in 3D-printed tissue-mimicking materials 3d打印仿组织材料回波性的数值与实验研究。
IF 3.8 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2024-11-24 DOI: 10.1016/j.ultras.2024.107518
Hossein Kamalinia, Merlin Bonnevay, Andrea Barbarulo, Elsa Vennat, Bing Tie
The main focus of this work is the echogenicity of a 3D-printed synthetic composite material that mimics the acoustic properties of cardiac biological tissues to provide ultrasound images similar to those obtained during interventional cardiology procedures. The 3D-printed material studied is a polymer-based composite with a matrix–inclusion microstructure, which plays a critical role in ultrasound response due to ultrasound-microstructure interaction at the involved medical echography wavelengths. Both numerical simulations and experimental observations are carried out to quantitatively establish the relationship between the 3D-printed microstructure and its ultrasonic echogenicity, considering different microstructure characteristics, namely area fraction and size of the inclusion, and its actual printed shape. A numerical evaluation based on finite element modeling is carried out to characterize the acoustic properties of the 3D-printed synthetic tissue: phase velocity, attenuation coefficient, and B-mode ultrasound images. Moreover, a morphological experimental study of the shape of the real 3D-printed inclusions is carried out. It shows a significant deviation of the final printed inclusions compared to the input spherical shape delivered to the 3D printer. By simulating and comparing numerically generated microstructures and 3D-printed real microstructures, it is shown that the actual shape of the inclusion is significant in the scattering of the ultrasonic wave and the echogenicity of the printed material.
这项工作的主要重点是3d打印合成复合材料的回声性,该材料模仿心脏生物组织的声学特性,提供类似于在介入性心脏病学过程中获得的超声图像。所研究的3d打印材料是一种基于聚合物的复合材料,具有基体-夹杂微观结构,由于超声-微观结构在相关医学超声波长下的相互作用,在超声响应中起着关键作用。通过数值模拟和实验观察,定量建立3d打印微观结构与其超声回波性之间的关系,同时考虑不同的微观结构特征,即夹杂物的面积分数和尺寸,以及其实际打印形状。基于有限元建模的数值评估对3d打印合成组织的声学特性进行了表征:相速度、衰减系数和b型超声图像。此外,对真实3d打印夹杂物的形状进行了形态学实验研究。它显示了最终打印的内含物与交付给3D打印机的输入球形相比的显著偏差。通过对数值生成的微结构和3d打印的真实微结构进行模拟和比较,结果表明,夹杂物的实际形状对超声波的散射和打印材料的回波性有显著影响。
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引用次数: 0
Development of signal processing algorithms for delamination detection in composite laminates using non-contact excited Lamb waves 利用非接触激发的 Lamb 波开发复合材料层压板分层检测信号处理算法
IF 3.8 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2024-11-23 DOI: 10.1016/j.ultras.2024.107524
Lea A.C. Lecointre , Ryo Higuchi , Tomohiro Yokozeki , Naoki Hosoya , Shin-ichi Takeda
A novel Signal Processing algorithm based on the combination of a Wavelet Transform Analysis and Image Processing techniques is designed for assessing the delamination detectability of Lamb Waves generated with an innovative fully non-contact system in CFRP plates. Several Damage Indexes are extracted from the wavefields in spatial-time–frequency domain and plotted as surface cartographies to visualise their ability to size and localise artificial delaminations. Results show that the algorithm is efficient for characterising the waves propagation and that sophisticated Image comparison indexes show better ability to detect the artificial defects and to recognise healthy zones despite signal measurement and calculation uncertainties.
设计了一种基于小波变换分析和图像处理技术相结合的新型信号处理算法,用于评估使用创新的完全非接触式系统在 CFRP 板材中产生的λ波的分层可探测性。从空间-时间-频率域的波场中提取了多个损伤指数,并绘制成表面制图,以直观地显示其大小和定位人工分层的能力。结果表明,该算法能有效描述波的传播特征,而且尽管信号测量和计算存在不确定性,但复杂的图像比较指数能更好地检测人工缺陷并识别健康区域。
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引用次数: 0
Numerical estimation of ultrasonic phase velocity and attenuation for longitudinal and shear waves in polycrystalline materials 多晶材料中纵波和横波的超声相速度和衰减的数值估计。
IF 3.8 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2024-11-23 DOI: 10.1016/j.ultras.2024.107517
Vincent Dorval , Nicolas Leymarie , Alexandre Imperiale , Edouard Demaldent , Pierre-Emile Lhuillier
Finite element computations offer ways to study the behavior of ultrasonic waves in polycrystals. In particular, the simulation of plane waves propagation through small representative elementary volumes of a microstructure allows estimating velocities and scattering-induced attenuation for an effective homogeneous material. Existing works on this topic have focused mainly on longitudinal waves. The approach presented here relies on generating periodic samples of microstructures in order to accommodate both longitudinal and shear waves. After some discussion on the parametrization of the simulations and the numerical errors, results are shown for several materials. These results are compared to an established theoretical attenuation model that has been adapted to use a fully analytical expression of the two-point correlation function for the polycrystals of interest, and to use velocities corresponding to different reference media. Promising comparisons are obtained for both longitudinal and shear waves when using more representative media, obtained through Hill averaging or a self-consistent approach. This illustrates how the numerical method can assist in developing and validating analytical models for elastic wave propagation in heterogeneous media.
有限元计算为研究超声在多晶体中的行为提供了途径。特别是,平面波通过微观结构的小代表性基本体积传播的模拟允许估计有效均匀材料的速度和散射诱导衰减。关于这一主题的现有工作主要集中在纵波上。这里提出的方法依赖于产生微观结构的周期性样本,以适应纵波和横波。在讨论了模拟的参数化和数值误差后,给出了几种材料的模拟结果。这些结果与已建立的理论衰减模型进行了比较,该模型已适应使用感兴趣的多晶体两点相关函数的完全解析表达式,并使用对应于不同参考介质的速度。当使用更具代表性的介质,通过希尔平均或自洽方法获得时,纵波和横波都得到了有希望的比较。这说明了数值方法如何帮助开发和验证弹性波在非均质介质中的传播的分析模型。
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引用次数: 0
Influence of moisture on the diffusion of ultrasound in concrete 水分对超声波在混凝土中扩散的影响
IF 3.8 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2024-11-22 DOI: 10.1016/j.ultras.2024.107529
Eunjong Ahn , Homin Song , Myoungsu Shin , John S. Popovics
This study aimed to investigate the effects of internal moisture migration and subsequent drying-shrinkage-induced micro-cracking in concrete on diffuse ultrasound, through a series of experiments that comprised multiple drying and rewetting cycles carried out over the long-term. Cyclic drying and wetting phenomena in concrete were physically established following a predefined protocol and were traced measuring the mass change of specimens. Diffuse-wave tests were conducted using a pair of PZT patches bonded to cylindrical specimens, which acted as the ultrasonic transmitter and receiver in the range of 250–550 kHz. The results present that measured diffuse-wave parameters, diffusivity and dissipation, showed distinct varying and cyclic behaviors to drying and wetting processes, but they did not recover their original values in the saturated condition, revealing possible micro-cracking damage caused by the drying process, which should be understood to improve the reliability of diffuse ultrasound measurements in concrete subjected to environmental changes.
本研究旨在通过一系列长期进行的多次干燥和再湿润循环实验,研究混凝土内部水分迁移和随后干燥收缩引起的微裂缝对漫射超声波的影响。混凝土中的循环干燥和润湿现象是按照预定方案通过物理方法确定的,并通过测量试样的质量变化进行追踪。扩散波测试使用一对粘接在圆柱形试样上的 PZT 贴片进行,这对贴片充当 250-550 kHz 范围内的超声波发射器和接收器。结果表明,测得的扩散波参数、扩散率和耗散率在干燥和湿润过程中表现出明显的变化和循环行为,但在饱和状态下没有恢复其原始值,揭示了干燥过程可能造成的微裂缝破坏,应了解这一点以提高受环境变化影响的混凝土中扩散超声测量的可靠性。
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引用次数: 0
Near-surface defect detection in ultrasonic testing using domain-knowledge-informed self-supervised learning 利用基于领域知识的自监督学习进行超声波测试中的近表面缺陷检测
IF 3.8 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2024-11-22 DOI: 10.1016/j.ultras.2024.107528
Minsu Jeon , Minseok Choi , Wonjae Choi , Jong Moon Ha , Hyunseok Oh
Recently, significant research efforts have been made to enhance ultrasonic testing (UT) by employing artificial intelligence (AI). However, collecting an extensive amount of labeled data across various testing environments to train the AI model poses significant challenges. Moreover, conventional UT typically focuses on detecting deep-depth defects, which limits the effectiveness of such methods in detecting near-surface defects. To this end, this paper proposes a novel near-surface defect detection method for ultrasonic testing that can be employed without collecting labeled data. We propose a self-supervised anomaly detection model that incorporates domain knowledge. First, synthetic faulty samples are generated by fusing the measured UT signals with the back-wall UT reflection signals, to simulate real faulty features. Unlike the CutPaste method used for computer vision applications, this synthesis method adds the back-wall echo signal to random locations by incorporating the physical principles of the superposition of ultrasonic signals. Next, a de-anomaly network is devised to isolate subtle defect features within the measured UT signals. The presence of defects was determined using the three-sigma rule of the mean absolute value of the residual output. The defect depth is determined by a time-of-flight calculation from the residual output. The effectiveness of the proposed method was evaluated through the UT of aluminum blocks with near-surface defects of varying depths under different surface conditions. Both qualitative and quantitative comparison studies demonstrated that the proposed method outperformed existing methods in detecting the presence and depth of near-surface defects.
最近,通过采用人工智能(AI)来增强超声波测试(UT)的研究取得了重大进展。然而,在各种测试环境中收集大量标记数据来训练人工智能模型是一项重大挑战。此外,传统的 UT 通常侧重于检测深层缺陷,这限制了此类方法在检测近表面缺陷方面的有效性。为此,本文提出了一种新颖的超声波检测近表面缺陷检测方法,该方法无需收集标记数据即可使用。我们提出了一种结合领域知识的自监督异常检测模型。首先,通过将测量到的 UT 信号与后墙 UT 反射信号融合,生成合成故障样本,以模拟真实的故障特征。与计算机视觉应用中使用的剪贴法不同,这种合成方法通过结合超声波信号叠加的物理原理,在随机位置添加后墙回波信号。接下来,设计了一个去异常网络,以隔离测量到的 UT 信号中细微的缺陷特征。利用残差输出平均绝对值的三西格玛法则确定是否存在缺陷。缺陷深度通过残差输出的飞行时间计算来确定。通过在不同表面条件下对存在不同深度近表面缺陷的铝块进行 UT,评估了所建议方法的有效性。定性和定量对比研究表明,在检测近表面缺陷的存在和深度方面,所提出的方法优于现有方法。
{"title":"Near-surface defect detection in ultrasonic testing using domain-knowledge-informed self-supervised learning","authors":"Minsu Jeon ,&nbsp;Minseok Choi ,&nbsp;Wonjae Choi ,&nbsp;Jong Moon Ha ,&nbsp;Hyunseok Oh","doi":"10.1016/j.ultras.2024.107528","DOIUrl":"10.1016/j.ultras.2024.107528","url":null,"abstract":"<div><div>Recently, significant research efforts have been made to enhance ultrasonic testing (UT) by employing artificial intelligence (AI). However, collecting an extensive amount of labeled data across various testing environments to train the AI model poses significant challenges. Moreover, conventional UT typically focuses on detecting deep-depth defects, which limits the effectiveness of such methods in detecting near-surface defects. To this end, this paper proposes a novel near-surface defect detection method for ultrasonic testing that can be employed without collecting labeled data. We propose a self-supervised anomaly detection model that incorporates domain knowledge. First, synthetic faulty samples are generated by fusing the measured UT signals with the back-wall UT reflection signals, to simulate real faulty features. Unlike the CutPaste method used for computer vision applications, this synthesis method adds the back-wall echo signal to random locations by incorporating the physical principles of the superposition of ultrasonic signals. Next, a de-anomaly network is devised to isolate subtle defect features within the measured UT signals. The presence of defects was determined using the three-sigma rule of the mean absolute value of the residual output. The defect depth is determined by a time-of-flight calculation from the residual output. The effectiveness of the proposed method was evaluated through the UT of aluminum blocks with near-surface defects of varying depths under different surface conditions. Both qualitative and quantitative comparison studies demonstrated that the proposed method outperformed existing methods in detecting the presence and depth of near-surface defects.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"147 ","pages":"Article 107528"},"PeriodicalIF":3.8,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142722274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
High-cycle fatigue damage evaluation based on hysteresis nonlinearity using ultrasonic guided waves 基于滞后非线性的高循环疲劳损伤评估(使用超声导波
IF 3.8 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2024-11-20 DOI: 10.1016/j.ultras.2024.107519
Tao Zhou, Chaolong Xue, Xunjie Lv, Bing Li
This paper presents a novel approach utilizing nonlinear ultrasonic guided waves for the detection and evaluation of high-cycle fatigue damage in aluminum alloy plates. Through high-cycle fatigue testing, specimens with varying degrees of fatigue damage were created and evaluated using ultrasonic-guided wave measurement technology. The integration of time–frequency analyses effectively reduced the impact of wave dispersion and resonance effects, establishing a reliable operational frequency bandwidth. The results identified a positive correlation between the amplitude of odd harmonic components caused by hysteresis nonlinearity and fatigue crack length, while an inverse correlation was observed with specimen resonance frequency. The results confirm the high sensitivity and accuracy of this approach for early fatigue damage detection, offering a significant advancement in the non-destructive evaluation of engineering structures and a foundation for structural failure prevention.
本文介绍了一种利用非线性超声导波检测和评估铝合金板高循环疲劳损伤的新方法。通过高循环疲劳测试,利用超声导波测量技术制作并评估了不同疲劳损伤程度的试样。时间-频率分析的整合有效地减少了波色散和共振效应的影响,建立了可靠的工作频率带宽。结果表明,由滞后非线性引起的奇次谐波分量的振幅与疲劳裂纹长度呈正相关,而与试样共振频率呈反相关。结果证实了这种方法在早期疲劳损伤检测方面的高灵敏度和准确性,为工程结构的无损评估提供了重要进展,并为结构故障预防奠定了基础。
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引用次数: 0
A noninvasive ultrasound vibro-elastography technique for assessing ocular lesions 用于评估眼部病变的无创超声振动弹性成像技术。
IF 3.8 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2024-11-19 DOI: 10.1016/j.ultras.2024.107525
Ngoc Thang Bui , Lauren A. Dalvin , Shannon L. Howard , Jason P. Hall , Arthur J. Sit , Xiaoming Zhang

Objective

This research aims to develop a noninvasive ultrasound vibro-elastography technique for assessing ocular lesions including intraocular melanoma and nevus lesions.

Method

Wave speed (WS) was noninvasively measured in the lesions at three different frequencies (i.e., 100 Hz, 150 Hz, and 200 Hz). The nearby normal tissue of choroid and sclera was also analyzed as controls. Viscoelasticity of these tissues was analyzed using the wave speed dispersion curve and the Voigt model.

Results

In this pilot study of 10 cases (5 melanomas vs. 5 nevus) with ages (mean ± SD) of (53.2 ± 6.82) vs. (72.2 ± 7.71) yo, the WS (m/s), elasticity (kPa) and viscosity (Pa.s) of lesion (melanoma vs. nevus) locations of the eye (i.e., WS @100 Hz: 3.63 vs. 3.09 (m/s), @150 Hz: 4.10 vs. 3.66 (m/s), @200 Hz: 4.78 vs. 4.07 (m/s); elasticity: 9.59 vs. 6.89 (kPa); viscosity: 12.46 vs. 9.26(Pa.s)) were analyzed. There were significant differences of WS ratio (WS close to the surface and WS inside the tumor) between the nevus and melanoma of all three frequencies (i.e., nevus vs. melanoma; @100 Hz: 1.59 vs. 2.95, p = 0.0285; @150 Hz: 1.58 vs. 3.53, p = 0.0054; @200 Hz: 1.70 vs. 3.31, p = 0.0124). The melanoma lesions are stiffer than the nevus lesions. It also shows that the lesion tissues are stiffer than the control tissues. However, there were no significant differences in WS, elasticity, viscosity among melanoma lesions, nevus lesions, and control tissues.

Conclusions

We demonstrate for the first time that noninvasive ultrasound vibro-elastography can be used for assessing ocular lesions. The results show that lesion tissues are stiffer than control tissues. They also show that melanoma lesions are stiffer than the nevus lesions. We plan to study more ocular lesion patients and improve the specificity and sensitivity of wave speed or viscoelasticity between lesions and controls.

Significance

Ultrasound vibro-elastography is an innovative and noninvasive technique for assessing ocular lesions.
研究目的本研究旨在开发一种无创超声振动弹性成像技术,用于评估眼部病变,包括眼内黑色素瘤和痣病变:方法:以三种不同频率(即 100 Hz、150 Hz 和 200 Hz)无创测量病变部位的波速(WS)。同时还分析了附近的脉络膜和巩膜正常组织作为对照。利用波速频散曲线和 Voigt 模型分析了这些组织的粘弹性:在这项对年龄(平均 ± SD)为(53.2 ± 6.82)岁和(72.2 ± 7.71)岁的 10 个病例(5 个黑色素瘤与 5 个痣对比)进行的试点研究中,眼部病变(黑色素瘤与痣对比)位置的波速(m/s)、弹性(kPa)和粘度(Pa.s)(即波速 @100 Hz:3.63 vs. 3.09 (m/s), @150 Hz:4.10 vs. 3.66 (m/s), @200 Hz:4.78 vs. 4.07(m/s);弹性:9.59 vs. 6.89(kPa);粘度:12.46 vs. 9.26(Pa.s))进行了分析。在三种频率下,痣和黑色素瘤的 WS 比值(靠近瘤体表面的 WS 和瘤体内的 WS)均有明显差异(即痣 vs. 黑色素瘤;@100 Hz:1.59 vs. 2.95, p = 0.0285; @150 Hz:1.58 vs. 3.53, p = 0.0054; @200 Hz:1.70 vs. 3.31,p = 0.0124)。黑色素瘤病变比痣病变更硬。这也表明病变组织比对照组组织更硬。然而,黑色素瘤病变组织、痣病变组织和对照组织的 WS、弹性和粘度没有明显差异:我们首次证明了无创超声振动弹性成像技术可用于评估眼部病变。结果显示,病变组织比对照组织更硬。结果还显示,黑色素瘤病变组织比痣病变组织更硬。我们计划研究更多的眼部病变患者,并提高病变组织与对照组织之间波速或粘弹性的特异性和敏感性:超声振动弹性成像技术是评估眼部病变的一种创新性无创技术。
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引用次数: 0
Investigation of electrochemical micromachining on magnesium alloy using hollow tool electrode 使用空心工具电极对镁合金进行电化学微加工的研究
IF 3.8 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2024-11-19 DOI: 10.1016/j.ultras.2024.107526
N. Sivashankar , R. Thanigaivelan , L. Selvarajan , K. Venkataramanan
This study investigates the application of Electrochemical Micromachining (ECMM) on magnesium alloy AZ31 using a hollow tool electrode. Magnesium alloys, particularly AZ31, are valued for their lightweight properties and strength-to-weight ratio but pose challenges in precision machining due to their high reactivity and susceptibility to corrosion. Utilizing a hollow tool electrode in ECMM offers potential advantages in precision and control, crucial for micro-scale manufacturing applications. This research focuses on studying the effect of process parameters such as electrolyte composition, voltage, and duty cycle to achieve high-quality micro holes. Experimental results demonstrate the effects of these parameters on machining speed and overcut. Findings indicate that the use of a hollow tool electrode significantly improves the hole geometry and surface integrity of the machined features, making ECMM a viable technique for the micromachining of magnesium alloys. The experimental outcome shows that the maximum MS of 0.439 μm/s was noted with 156 OC. The machining was enhanced by 12 % when compared to traditional submerged machining with a solid tool.
本研究探讨了使用空心工具电极对镁合金 AZ31 进行电化学微加工 (ECMM) 的应用。镁合金,尤其是 AZ31,因其轻质特性和强度重量比而备受青睐,但由于其高反应性和易腐蚀性,给精密加工带来了挑战。在 ECMM 中使用空心工具电极在精度和控制方面具有潜在优势,这对微尺度制造应用至关重要。本研究的重点是研究电解液成分、电压和占空比等工艺参数对实现高质量微孔的影响。实验结果表明了这些参数对加工速度和过切的影响。研究结果表明,使用空心工具电极可显著改善孔的几何形状和加工特征的表面完整性,使 ECMM 成为镁合金微加工的可行技术。实验结果表明,156 OC 的最大 MS 值为 0.439 μm/s。与使用实体刀具的传统浸没式加工相比,加工效率提高了 12%。
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引用次数: 0
Optical excitation and detection of high-frequency Sezawa modes in Si/SiO2 system decorated with Ni80Fe20 nanodot arrays Ni80Fe20纳米点阵列修饰Si/SiO2体系中高频Sezawa模式的光激发与检测。
IF 3.8 2区 物理与天体物理 Q1 ACOUSTICS Pub Date : 2024-11-16 DOI: 10.1016/j.ultras.2024.107522
P. Graczyk , B. Rana , A. Trzaskowska , B.K. Mahato , J.W. Kłos , M. Krawczyk , A. Barman
Surface acoustic waves have emerged as one of the potential candidates for the development of next-generation wave-based information and computing technologies. For practical devices, it is essential to develop the excitation techniques for different types of surface acoustic waves, especially at higher microwave frequencies, and to tailor their frequency versus wave vector characteristics. We show that this can be done by using ultrashort laser pulses incident on the surface of a multilayer decorated with a periodic array of metallic nanodots. Specifically, we study surface acoustic waves in the dielectric substrate Si/SiO2 decorated with a square lattice of thin Ni80Fe20 (Py) dots. Using a femtosecond laser-based optical pump–probe measurement, we detect a number of high-frequency phononic modes. By performing finite element simulations, we identify them as Sezawa modes from the second and third Brillouin zone in addition to the modes confined within the Py dots. The frequency of the Sezawa modes strongly depends on the period of the Py dots and varies in the range between 5 to 15 GHz. Both types of waves cover the same frequency range for Py dots with period less than 400 nm, providing a promising system for magnetoelastic studies.
表面声波已成为发展下一代基于波的信息和计算技术的潜在候选者之一。对于实际设备而言,开发不同类型表面声波的激励技术,特别是在较高的微波频率下,并调整其频率与波矢量特性是至关重要的。我们表明,这可以通过使用超短激光脉冲入射到金属纳米点周期性阵列装饰的多层表面来实现。具体地说,我们研究了用Ni80Fe20 (Py)薄点阵装饰的介电衬底Si/SiO2中的表面声波。利用飞秒激光光泵浦探针测量,我们检测到一些高频声子模式。通过进行有限元模拟,我们将它们识别为来自第二和第三布里渊区的Sezawa模态,以及局限在Py点内的模态。Sezawa模式的频率强烈依赖于Py点的周期,并在5至15 GHz的范围内变化。对于周期小于400nm的Py点,两种类型的波覆盖相同的频率范围,为磁弹性研究提供了一个有前途的系统。
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引用次数: 0
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