Alignment of an acoustic manipulation device with cepstral analysis of electronic impedance data

Hughes, David A.; Qiu, Yongqiang; Démoré, Christine; Weijer, Cornelis J.; Cochran, Sandy

doi:10.1016/j.ultras.2014.09.017

Cited by 4 publications

(5 citation statements)

References 6 publications

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“…A similar phenomenon has also been reported in other simulated and experimental actuators that have similar layer configurations [3,[59][60][61]. The amplitudes of these resonances, periodic in the electrical impedance spectra, were closely related to the parallelism of the resonators [61]. In the present work, the pressure through the thicknesses of all layers was also calculated at the frequency of maximum pressure response in the water layer.…”

Section: Finite Element Analysissupporting

confidence: 87%

“…These system resonances were thought to be closely related to the low damping of the resonant system, linked to the fact that the ultrasound wavelength in water is much smaller than the total thickness of the water layer. A similar phenomenon has also been reported in other simulated and experimental actuators that have similar layer configurations [3,[59][60][61]. The amplitudes of these resonances, periodic in the electrical impedance spectra, were closely related to the parallelism of the resonators [61].…”

Section: Finite Element Analysissupporting

confidence: 83%

See 1 more Smart Citation

Screen-printed ultrasonic 2-D matrix array transducers for microparticle manipulation

et al. 2015

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This paper reports the development of a two-dimensional thick film lead zirconate titanate (PZT) ultrasonic transducer array, operating at frequency approximately 7.5MHz, to demonstrate the potential of this fabrication technique for microparticle manipulation. All layers of the array are screen-printed then sintered on an alumina substrate without any subsequent patterning processes. The thickness of the thick film PZT is 139±2μm, the element pitch of the array is 2.3mm, and the dimension of each individual PZT element is 2×2mm(2) with top electrode 1.7×1.7mm(2). The measured relative dielectric constant of the PZT is 2250±100 and the dielectric loss is 0.09±0.005 at 10kHz. Finite element analysis was used to predict the behaviour of the array and to optimise its configuration. Electrical impedance spectroscopy and laser vibrometry were used to characterise the array experimentally. The measured surface motion of a single element is on the order of tens of nanometres with a 10Vpeak continuous sinusoidal excitation. Particle manipulation experiments have been demonstrated with the array by manipulating Ø10μm polystyrene microspheres in degassed water. The simplified array fabrication process and the bulk production capability of screen-printing suggest potential for the commercialisation of multilayer planar resonant devices for ultrasonic particle manipulation.

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Section: Finite Element Analysissupporting

confidence: 87%

Section: Finite Element Analysissupporting

confidence: 83%

Screen-printed ultrasonic 2-D matrix array transducers for microparticle manipulation

et al. 2015

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“…eoretical Basis. For the BP neural network, it mainly includes two layers, the input layer and the competition layer, and belongs to the single-layer network transmission structure [12,13]. e units between the input layer and the competition layer realize all effective connections, which can complete the dimensionality reduction mapping from the multi-dimensional space to the two-dimensional plane.…”

Section: Bp Neural Network Algorithm and Theoretical Basismentioning

confidence: 99%

Intelligent Detection and Diagnosis of Power Failure Relying on BP Neural Network Algorithm

Liu

2022

Computational Intelligence and Neuroscience

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The development of economy and the needs of urban planning have led to the rapid growth of power applications and the corresponding frequent occurrence of power failures, which many times lead to a series of economic losses due to failure to repair in time. To address these needs and shortcomings, this paper introduces a BP neural network algorithm to determine the neural network structure and parameters for fault diagnosis of power electronic inverter circuits with improved hazard. By optimizing the weights and thresholds of neural networks, the learning and generalization ability of neural network fault diagnosis systems can be improved. It can effectively extract fault features for training, sort out the business logic of power supply intelligent detection, analyze the potential hazards of power supply, and effectively perform circuit intelligent control to achieve effective fault detection of power supply circuits. It can provide timely feedback and hints to improve the fault identification ability and the corresponding diagnosis accuracy. Simulation results show that the method can eventually determine the threshold value for intelligent power fault detection and diagnosis by analyzing the convergence of long-term relevant indicators, avoiding the blindness of subjective experience and providing a theoretical basis for intelligent detection and diagnosis.

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“…In the case of ultrasound levitation using an acoustic radiation force, 17,18) small objects can be levitated near the nodal positions of sound pressure in the acoustic standing wave field between a vibrating plate and a reflector by adjusting the distance between them to a multiple of a half-wavelength. 19,20) When the distance between an ultrasound vibrating plate and a planer object is much smaller than the ultrasound wavelength, the levitation force and the rigidity are dramatically increased (near-field acoustic levitation). [21][22][23][24][25] Ito reported that the radiation impedance of an ultrasound transducer varies with the ambient environment 26) and depends on the position of the reflector in the acoustic field, 27) implying that this phenomenon can be applied to acoustic touchless sensors.…”

Section: Introductionmentioning

confidence: 99%

A thin acoustic touchless sensor using flexural vibration

Nakaoka

Yamamoto

Tomita

et al. 2023

Jpn. J. Appl. Phys.

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This paper investigates a thin sensor used to detect the position of an object in front of an ultrasonic transducer using changes in the radiation impedance. The sensor consists of a rectangular plate and a piezoelectric transducer, and the configuration is determined based on the results of a finite element analysis simulation. Stripe flexural vibration modes are generated on the plate, radiating sound waves into the air between the plate and the object. The radiation angle of these sound waves is dependent on the driving frequency, resulting in a change in the sound field and the electrical admittance characteristics. The sensing performance is examined using two resonant vibration modes. The sensor can determine the position of an object uniquely within a two-dimensional area, and the lower resonant mode gave a wider measurable range. The sensitivity is improved six-fold over that of our conventional sensor using the same sensing mechanism.

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Alignment of an acoustic manipulation device with cepstral analysis of electronic impedance data

Cited by 4 publications

References 6 publications

Screen-printed ultrasonic 2-D matrix array transducers for microparticle manipulation

Screen-printed ultrasonic 2-D matrix array transducers for microparticle manipulation

Intelligent Detection and Diagnosis of Power Failure Relying on BP Neural Network Algorithm

A thin acoustic touchless sensor using flexural vibration

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