429 results about "Ultrasonic technology" patented technology

The invention belongs to the technical field of nondestructive testing, and particularly relates to a detection method for quantitatively evaluating fatigue damage in a pipeline through a nonlinear ultrasonic technology. 316 stainless steel and SA335GRP-11 ferrite steel samples are adopted, a welding seam area is formed through V-shaped groove welding, fatigue loading is conducted, and actual pipeline fatigue damage is simulated; for the samples with different fatigue cycles, nonlinear response signals of the samples are obtained; fourier transform is carried out on the obtained signal to obtain an energy spectrum of the signal, and energy changes of the signal on a fundamental frequency band and a second harmonic frequency band are analyzed; and calculating a nonlinear coefficient, and analyzing a change rule of the nonlinear coefficient along with fatigue cycles, so that the evolution process of fatigue damage in the pipeline is evaluated. According to the method, energy is used for replacing the amplitude value, on the basis of the formula principle, integration is used for replacing the amplitude value to improve the intensity of the characterization nonlinear ultrasonic signal, the early stage of damage and the later stage of crack initiation are detected, and reliable guarantee is provided for safe operation of an industrial pipeline system.

The invention discloses a transformer oil conservator oil level online monitoring method and system based on an ultrasonic technology, and belongs to the field of power equipment monitoring. The oil level of the transformer is related to equipment safety, a traditional monitoring means has defects, and false oil level is prone to misleading operation and maintenance. With the ultrasonic technology as the core, the multi-band ultrasonic sensor transmits and receives ultrasonic waves to the oil conservator, obtains oil level signals and collects oil temperature and load data at the same time. The oil level is calculated by means of ultrasonic propagation time and a multi-band weighted average algorithm, and the false oil level is discriminated according to oil temperature compensation and load correlation. Through signal conditioning and acquisition, microprocessor operation and wireless communication transmission, data is stored and analyzed in a background monitoring system. The innovative system architecture and algorithm realize high-precision oil level measurement, strong interference resistance, intelligent false oil level discrimination and real-time remote monitoring. On-site tests show that the system stably and accurately monitors complex working conditions, effectively prevents oil level abnormal faults, improves the operation and maintenance efficiency of the transformer and the power supply reliability of a power grid, and firmly guarantees the reliable operation of a power system.

The invention relates to the technical field of analyzing materials by utilizing an ultrasonic technology, in particular to a pipeline welding seam nondestructive testing method and system based on the ultrasonic technology, and the method comprises the following steps: acquiring echo signals collected by each ultrasonic probe at a welding seam position of a pipeline; analyzing the similarity degree of the time domain local features of the echo signals of each ultrasonic probe and the ultrasonic probe at the adjacent position under the same wavelet transform scale, and determining position similar probes and position similar parameters of each ultrasonic probe; according to the position similar parameters of the ultrasonic probe and the change difference of the echo signals of the ultrasonic probe and the corresponding position similar probe under each scale, determining a correction coefficient under each scale, and correcting a detail coefficient of the echo signals of the ultrasonic probe under each scale; obtaining a reconstruction signal based on the corrected detail coefficient under each scale; and comparing the reconstruction signal of each ultrasonic probe with the standard echo signal to detect the weld defect. By adopting the method, false detection and missing detection of tiny defects can be reduced.

The invention discloses a nondestructive testing device for a steel profile and a testing method of the nondestructive testing device. According to the method disclosed by the invention, the ultrasonic technology is combined with optical imaging, so that synchronous detection of surface and internal defects can be completed at one time. Ultrasonic waves penetrate through the interior of the steel profile, and hidden defects such as cracks and air holes are accurately recognized; the optical camera module captures visible problems such as surface scratches and corrosion in real time. The integrated detection mode avoids the tedious process of step-by-step operation required by a traditional method, for example, magnetic powder detection of surface defects and ultrasonic scanning of an internal structure are not needed, the detection period is greatly shortened, and the method is especially suitable for steel structure buildings, bridge engineering and other scenes with high requirements for detection efficiency and has good application prospects. The full-process automatic design effectively reduces the influence of human intervention, and ensures the scanning continuity of the detection area; the intelligent algorithm automatically analyzes the ultrasonic echo signal and the optical image data, and judges the defect level according to the preset standard, thereby avoiding subjective misjudgment of manual visual inspection.

The invention discloses a subcutaneous injection site detection and recommendation system based on an intelligent algorithm, and aims to improve the safety of long-term subcutaneous injection and the drug absorption efficiency and reduce the risk of related complications such as subcutaneous hemorrhage, subcutaneous induration and subcutaneous fat hyperplasia at the same time. Comprising a subcutaneous tissue detection module for acquiring subcutaneous vascular distribution, fat layer thickness and induration state of a target part through infrared imaging and ultrasonic technologies and generating subcutaneous tissue characteristic data; the data processing module analyzes the feature data by using an image recognition algorithm, and recognizes a blood vessel dense region, induration and a part where fat hyperplasia has occurred; the injection part recommendation module is used for evaluating an analysis result of the data processing module based on a machine learning algorithm in combination with personalized injection historical data of the patient, and generating an optimal injection part recommendation scheme avoiding a risk area; the intelligent imaging and data analysis technology is utilized, the subcutaneous injection part selection accuracy is improved, and the patient comfort and the treatment effect are improved.

The invention belongs to the technical field of acoustic devices and ultrasound, and discloses an ultrasonic transducer, a multi-layer gradient acoustic impedance matching layer and a preparation method of the multi-layer gradient acoustic impedance matching layer, and the multi-layer gradient acoustic impedance matching layer comprises a plurality of acoustic impedance layers which are arranged in sequence and have different acoustic impedances; in the direction from the first acoustic impedance layer to the last acoustic impedance layer, the acoustic impedance of the acoustic impedance layer is in a decreasing trend; the surface of the previous acoustic impedance layer is provided with a micro-columnar structure, the micro-columnar structure extends into the next acoustic impedance layer, a mechanical interlocking interface is formed between the previous acoustic impedance layer and the next acoustic impedance layer through the micro-columnar structure, and the micro-columnar structure is gradually thinned from the bottom to the tip. According to the invention, the gradient impedance design of the acoustic impedance layers significantly reduces the acoustic reflection between the acoustic impedance layers, improves the acoustic energy transmission efficiency, and widens the working bandwidth of the ultrasonic device; the micro-columnar structure not only maintains the stability of interlayer adhesion in a high vibration or thermal stress environment, but also further smooths gradient transition and reduces interface reflection.

The invention discloses a fructus psoraleae total flavone extract as well as a preparation method and application thereof in promoting hair growth. According to the preparation method of the fructus psoraleae total flavone extract, the specific eutectic solvent is adopted, the ultrasonic technology is combined for extraction, the content of total flavone in the fructus psoraleae extract can be remarkably increased, and the fructus psoraleae total flavone can be efficiently extracted; and the adopted extraction solvent has the advantages of greenness, environmental protection, efficient process, low cost, high safety and the like, and can solve the problems of the existing extraction process. The malaytea scurfpea fruit total flavone extract obtained by the method has the effect of promoting hair growth and can remarkably promote hair follicle cell proliferation and prolong the hair growth period, the prepared external gel product has the hair growth effect, the preparation method is simple, and external use is convenient. The malaytea scurfpea fruit total flavone extract provided by the invention can be used for developing more cosmetics and medical products for preventing alopecia and promoting hair growth, and a new scheme is provided for green extraction of natural active ingredients and treatment of alopecia.

The invention relates to the technical field of quality detection of crystallizer copper pipes. The crystallizer copper pipe quality detection and maintenance method comprises the steps that geometric structure information of a crystallizer copper pipe is obtained, a three-dimensional structure model is obtained, automatic defect detection is conducted on outer wall image information of the crystallizer copper pipe through a CNN model, and surface defect information is obtained. And performing nondestructive testing on the inner wall image information of the crystallizer copper pipe through an ultrasonic technology to obtain internal defect information, obtaining overall quality state information based on the surface defect information and the internal defect information, and inputting the overall quality state information into a quality evaluation model to obtain a quality score of the crystallizer copper pipe. And according to the quality score of the crystallizer copper pipe, determining the use risk grade of the crystallizer copper pipe, and based on the use risk grade, generating maintenance suggestions and prevention measure suggestions corresponding to the use risk grade. The method has the effect of improving the quality of the crystallizer copper pipe.

The invention discloses a liquid information detection method and system based on an ultrasonic technology. The method comprises the following steps: firstly, acquiring ultrasonic multiple echo signals under a preset working condition; the peak information, the time domain characteristic, the waveform characteristic, the phase characteristic and other information of the echo are obtained; secondly, establishing a machine learning model, and inputting feature information such as echo peak voltage, time delay and phase into the machine learning model for training; obtaining a trained machine learning model; and finally, inputting an actually detected ultrasonic echo signal into the trained machine learning model for processing to obtain the liquid information distribution condition of the detected target. According to the method, liquid component identification and high-precision detection of liquid information of different liquid levels are realized through array ultrasonic transducer and echo signal analysis, echo signal characteristics can be quickly mapped to liquid attribute information in combination with a machine learning model, and excellent intelligent processing capacity is shown. The method is high in real-time performance and applicability, can adapt to different liquid types and densities and various environmental conditions, and meets the detection requirements in an industrial environment and the application scene of higher-precision detection.

The invention discloses a method for enriching whey protein main monomers from cow milk. According to the method, whey protein subjected to membrane separation is taken as a raw material, interaction between main monomers of the whey protein and other milk proteins is weakened by adopting a pH conversion technology and an ultrasonic technology, mineral substances, lactose, bovine serum albumin and residual casein are removed through ion exchange chromatography, the main monomers of the whey protein are enriched, and the high-purity whey protein is obtained. And drying the alpha-lactalbumin and the beta-lactoglobulin to obtain a milk protein product rich in two main monomers of the whey protein, and the total content of the two monomers is up to 85% or above. According to the technology, cow milk serves as a raw material, efficient enrichment of two main monomers of whey protein can be achieved only through membrane separation, pH conversion, ultrasonic assistance and ion exchange chromatography, only pH needs to be adjusted in the separation process, other chemical reagents are not added, and the process is environmentally friendly, simple, easy to implement and suitable for large-scale processing; the prepared milk protein base material rich in the whey protein main monomer can be used as a main material and a base material of infant food, and is high in nutritional value and wide in application prospect.

The invention discloses a metal crack repairing method and device based on an ultrasonic technology. The method comprises the steps that metal powder is selected as brazing filler metal and pretreated; cleaning cracks in the metal base material and spraying a boron nitride coating; mixing an ethanol solution with brazing filler metal powder according to a preset proportion, stirring to form a uniform suspension, injecting the suspension into the crack filling area through a needle tube in a vacuum negative pressure environment, preheating to accelerate solvent volatilization, and only leaving and compacting the brazing filler metal powder; clamping and fixing the base material and putting the base material into a vacuum chamber; electron beam melting is started, snakelike scanning is conducted in the length direction of the crack, and meanwhile ultrasonic vibration is conducted on the crack; and after fusion is completed, ultrasonic vibration is continuously carried out to restrain grain coarsening. Aiming at crack repair of a high-temperature metal part, through the coupling effect of electron beam melting and ultrasonic vibration, the limitation of a single technology is broken through, and a complete and synergistic repair system is formed.

The invention discloses a cleaning method and equipment for improving the cleanliness of a solid surface. The cleaning method comprises the steps that a cleaning medium containing a cleaning liquid and a gas mixture is injected into a cleaning tank, gas exists in the cleaning medium in the form of micro-nano bubbles, the concentration of the micro-nano bubbles is 106-1012 / L, and the pressure of the gas is 0.01-2.00 MPa; ultrasonic waves with the frequency range of 1 kHz to 1 MHz are applied into the cleaning tank through a multi-frequency ultrasonic wave generating device; and the cleaning medium is adjusted to circularly flow in the cleaning tank so as to clean the surface of the solid. According to the solid surface cleaning method combining the micro-nano bubbles and the ultrasonic technology, the cleaning efficiency and effect are remarkably improved by optimizing generation, distribution and stability of the bubbles and accurately controlling interaction between ultrasonic waves and the bubbles.

The invention relates to the field of medical materials and medical instruments, and discloses a dry bioprosthetic valve and a preparation method thereof.The preparation method comprises the following steps that S1, pericardium and a cross-linking agent solution are mixed for a cross-linking reaction; s2, carrying out first dehydration treatment on the crosslinked pericardium by adopting a first dehydration solution with gradually increased concentration gradient under an ultrasonic condition; and S3, carrying out second dehydration treatment on the pericardium subjected to the first dehydration treatment by adopting a second dehydration solvent, so as to obtain the dried bioprosthetic valve. According to the preparation method provided by the invention, ethanol, isopropanol and water in a specific proportion are adopted to prepare a dehydration solution with gradient concentration, and two-step dehydration drying is carried out in combination with the physical effect of an ultrasonic technology and glycerol, so that rapid rehydration of the bioprosthetic valve is realized, and the original shape and mechanical property of the bioprosthetic valve can be better recovered after rehydration; and the immediate hemodynamic stability of the valve is improved.

The invention provides a logarithmic bus bearing roller defect detection method and system based on an ultrasonic technology, and the method comprises the steps: obtaining an ultrasonic detection signal of the surface of a logarithmic bus bearing roller, and carrying out the preprocessing of the ultrasonic detection signal, and obtaining a first echo signal sequence; obtaining an average value sequence, a skewness sequence, a kurtosis sequence and a first high-order cumulant sequence based on the first echo signal sequence; correcting the first high-order cumulant sequence based on the average value sequence to obtain a second high-order cumulant sequence; optimizing the first echo signal sequence based on the dictionary matrix and the signal sparse coefficient vector to obtain a second echo signal sequence; and fusing the sequences to obtain a multi-dimensional feature vector sequence, and comparing the multi-dimensional feature vector sequence with a preset vector threshold to detect whether the logarithmic bus bearing roller has defects or not. According to the method, the problem of beam distortion of traditional ultrasonic waves during detection of the roller defects of the logarithmic bus bearing is solved, and the detection precision is remarkably improved.

The invention relates to a paint coating cavitation erosion resistance evaluation method based on an ultrasonic technology, belongs to the technical field of paint coating performance evaluation, and solves the problem that in the prior art, it is difficult to comprehensively observe and accurately simulate an ultrasonic bubble dynamic process in a laboratory. The method comprises the following steps: preparing a sample wafer on a steel plate by adopting a unified process, placing the sample wafer in an experimental water tank, generating a cavitation bubble group by using an ultrasonic generator to simulate cavitation erosion, collecting data through equipment such as a high-speed camera, a hydrophone and a pressure sensor, and obtaining damage time and area by virtue of an image processing algorithm and a super field depth microscope. And the cavitation erosion resistance is analyzed and evaluated through data processing. Rapid and accurate evaluation can be realized in a laboratory, the test period is shortened, and the cost is reduced; the evaluation accuracy, reliability and repeatability are improved; and a scientific basis can be provided for coating research and development, quality control and engineering application.

The invention belongs to the field of wastewater treatment technology and energy conservation and environmental protection, and particularly relates to a preparation method and application of aerogel for selectively separating radionuclide cesium in water. The preparation method comprises the following steps: preparing graphene oxide by using a hydrothermal technology, preparing molybdenum disulfide / GO aerogel by using a hydrothermal synthesis and ultrasonic technology, and inlaying and growing Prussian blue (PB) on the surface of the aerogel, so that the problems that PB and MoS2 are easy to agglomerate and difficult to recover are solved, the GO aerogel is endowed with multiple functions, and the constructed PB / MoS2 / GO aerogel is used for selectively separating radionuclide cesium in water. The selective separation performance of the aerogel on the radionuclide cesium in water under different conditions is investigated, efficient enrichment and recovery of the radionuclide cesium are effectively realized by utilizing the ultralight and highly porous characteristics of the aerogel, and the application potential of the aerogel in the aspects of reducing secondary pollution and improving the environmental treatment effect is proved. An efficient and environment-friendly solution is provided for radionuclide wastewater treatment, and the method has a wide market application prospect.

The invention provides a device for measuring the thickness of a pipeline with a coating layer based on a digital ultrasonic technology, belongs to the technical field of pipeline thickness measurement, and solves the technical problems that an existing pipeline thickness measurement device is low in automation level, high in professional requirement, inaccurate in thickness measurement and the like. Comprising a machine box, mechanical arm mechanisms are rotationally arranged at the four corners of the machine box, clamping mechanisms are arranged at the ends of the mechanical arm mechanisms, and a main control board, a double-channel liquid injection pump, a sweeping mechanism, a smearing and cleaning mechanism, a drying mechanism, an ultrasonic thickness measuring mechanism and a storage battery are sequentially arranged on the lower end face in the machine box from back to front; the main control board is provided with a data processing module, a data storage module, a wireless communication module, a driving control module, a 3D modeling module, a positioning module, a battery management module and a data safety module. The device can stably walk on the pipeline, can automatically clean and measure the thickness, guarantees the measurement accuracy, carries out 3D modeling analysis on the pipeline, guides the next thickness measurement, and is high in automation level and low in professional requirement.

The invention belongs to the technical field of ultrasonic waves, and particularly relates to a phase-controlled ultrasonic focusing optimization method based on an improved equilibrium optimization algorithm, and the algorithm comprises the steps: carrying out the initialization of mixed particles; establishing a delay and amplitude parameter library; dividing a target area; establishing a target function; setting a disturbance coefficient and a generation probability; the parameter fitness is evaluated in an iterative mode and preferential selection is carried out; the method specifically comprises the steps that a multi-physical field simulation model is established based on environment information; setting simulation data, performing preliminary amplitude and waveform simulation on ultrasound, and establishing an amplitude parameter library and a delay parameter library; an improved balance optimization algorithm is operated, parameters in an amplitude parameter library and a delay parameter library are intelligently selected through mixed particle initialization, iterative simulation is carried out, and optimal output is carried out; and performing simulation according to the output delay and amplitude parameters to obtain a final waveform. According to the method, optimization of ultrasonic delay parameters and distribution of amplitude parameters can be coordinated, and the focusing capacity of phase-controlled ultrasound in a complex environment is improved through visual ultrasonic beam simulation.

The invention relates to the field of composite pultrusion machines, in particular to a self-adaptive pultrusion system of a composite pultrusion machine and a control method of the self-adaptive pultrusion system. The self-adaptive pultrusion system comprises a pultrusion mold, a drawing device, an ultrasonic detection module and a control module; the ultrasonic detection module is used for emitting ultrasonic waves and receiving ultrasonic signals penetrating through the composite material so as to obtain acoustic parameters related to the curing degree of the composite material; and the control module is configured to calculate the current curing degree of the composite material based on the acoustic parameters, compare the current curing degree with a preset target curing degree, and adjust the drawing speed of the drawing device in real time according to a comparison result so as to perform closed-loop feedback control on the curing process of the composite material. According to the embodiment of the invention, the ultrasonic technology is utilized to carry out online and nondestructive detection on the curing degree of the composite material, and the closed-loop feedback control is carried out on the drawing speed based on the detection result, so that the synchronous optimization of the production efficiency and the product quality is realized.

The invention provides a lithium ion battery consistency rapid screening method based on an ultrasonic technology, and belongs to the technical field of battery management and echelon utilization. The method comprises the following steps: testing acoustic parameters of the lithium ion battery by using an ultrasonic technology, wherein the acoustic parameters comprise longitudinal wave velocity and ultrasonic flight time; obtaining the electrical characteristic parameter charge and discharge capacity of the battery through a charge and discharge cycle test; based on a machine learning model, a relationship between acoustic characteristic parameters and electrical characteristic parameters of the battery is established, and accurate estimation of the health state of the lithium ion battery is realized by using an ultrasonic technology, so that rapid screening of battery consistency is realized based on clustering analysis. According to the lithium ion battery consistency rapid screening method based on the ultrasonic technology, the problems that an existing lithium ion battery screening method is long in period and low in efficiency are solved.

The invention relates to the technical field of ultrasonic frozen squid processing, in particular to a processing device for preparing frozen squids by utilizing an ultrasonic technology, which comprises a pre-freezing room, a first ice glazing room is arranged on the side surface of the pre-freezing room, a first ultrasonic ice glazing machine is arranged on the inner side of the first ice glazing room, a quick freezing room is arranged on the side surface of the first ice glazing room, and a second ultrasonic ice glazing machine is arranged on the inner side of the quick freezing room. A second ice glazing room is arranged on the side face of the quick freezing room, a second ultrasonic ice glazing machine is arranged on the inner side of the second ice glazing room, and a freezing room is arranged on the side face of the second ice glazing room; the first ultrasonic ice glazing machine and the second ultrasonic ice glazing machine are arranged, the frozen storage quality of squids is improved through the layered ice glazing technology, bubbles of ice glazing liquid are eliminated through ultrasonic oscillation, and the transparency and adhesive force of an ice layer are improved.

The invention discloses a water conservancy and hydropower informatization intelligent operation and maintenance system, and relates to the technical field of water conservancy and hydropower operation and maintenance. The data processing module receives data of the data acquisition module and processes the received data, the model training and prediction module predicts a future pipeline corrosion trend, the strategy making module makes a maintenance strategy according to a prediction result of the pipeline corrosion trend, and the remote control module displays the result and allows operation and maintenance personnel to remotely monitor a system state. By comprehensively considering water quality components, flow velocity, temperature and properties of steel, the system can more accurately simulate and predict the corrosion condition of the pipeline in an actual operation environment, the comprehensive analysis method is more comprehensive and accurate, accurate corrosion rate prediction can help operation and maintenance personnel to make a scientific and reasonable maintenance plan, and the maintenance efficiency is improved. Therefore, the service life of the pipeline is prolonged.

The invention discloses an eyeball A-ultrasonic biological measurement method and system under the assistance of a B-ultrasonic image, and relates to the field of ophthalmology department image processing.The method comprises the steps that standard scanning is conducted on an eyeball through the B-ultrasonic scanning technology, and a standard eyeball section image is obtained; constructing an automatic judgment model to mark the standard eyeball section image to obtain three surface distances; performing distance parameter measurement on the standard eyeball section image based on the three surface distances to obtain a first measurement result; performing standard scanning on the eyeball by adopting an A-ultrasonic scanning technology to obtain a standard A-ultrasonic scanning waveform image; marking the standard A ultrasonic scanning waveform image based on the first measurement result to obtain four surface waves; based on the four surface waves, a second measurement result is obtained, and A-ultrasonic waveform biological parameter measurement is completed. According to the method, the existing A-ultrasonic technology is easy to inaccurately identify eyeball waveforms in part of cases, and the accuracy and efficiency of A-ultrasonic waveform identification can be effectively improved.

The embodiment of the present application provides a kind of humidity control device and refrigerator, humidity control device is connected with the drawer interchamber of refrigerator, including filter, fan, air duct component, ventilation cover, air duct component includes air inlet and air outlet, is connected with the drawer interchamber by air outlet, ventilation cover is set on the shell of refrigerator, and is connected with air inlet, for introducing ambient air;Fan is arranged in air duct component, for adjusting the air flow rate in air duct component;Filter is arranged in air duct component, for filtering ambient air.The embodiment of the present application can when the internal humidity of drawer interchamber is less than preset value range, start fan to intensify the air flow speed in air duct component, more quickly introduce ambient air into drawer interchamber, to increase the internal humidity of drawer interchamber, humidification is carried out by the way of introducing ambient air, can solve the problem that existing active humidity control needs to rely on water box and ultrasonic wave technology.

The invention relates to the technical field of belt longitudinal tearing prevention detection, in particular to belt longitudinal tearing prevention detection equipment based on the ultrasonic technology, and the belt longitudinal tearing prevention detection equipment comprises a processing unit and a detection unit. The surface of the belt in the using process is subjected to cleaning, couplant smearing, ultrasonic detection and couplant cleaning, the accuracy of ultrasonic detection is ensured, normal use of the detected belt is not interfered, and compared with traditional detection equipment, the equipment can know whether the surface of the belt is torn to any degree or not in time, and the detection efficiency is improved. Prevention and remediation can be effectively carried out, the moving belt is matched with the four synchronously-moving detection pieces, the surface of the belt is moved along a sine and cosine function image path, the comprehensiveness of the detection position and the accuracy and real-time performance of the detection result are improved, in addition, the situation that the same position is detected by all the detection pieces can occur, and the detection accuracy is improved. And the detection accuracy can be further ensured.

The invention discloses a focusing type acoustic streaming heat dissipation device facing a chip. The device belongs to the crossing field of ultrasonic technology and heat dissipation technology and is composed of a piezoelectric stack, an acoustic lens, a splitter plate, a base, a supporting rod, a copper electrode and the like. According to the device, geometric parameter configuration of the splitter plate, the piezoelectric stack and the acoustic lens is optimized, and a double-piezoelectric-plate stacked structure is adopted to enhance the ultrasonic resonance effect; high-frequency alternating voltage is applied to the copper electrodes at the two ends of the piezoelectric stack, high-frequency sound waves are excited through the inverse piezoelectric effect, and after the sound waves are focused through the sound lens, a gradient sound pressure field is formed in a cavity formed by the splitter plate and the piezoelectric stack; air molecules are driven to move directionally based on the acoustic streaming effect, so that air flow at an air inlet is accelerated by sound pressure to form high-flow-rate focusing jet flow at an air outlet, and targeted forced convection heat dissipation of a chip heat source is realized. According to the device, the ultrasonic technology and the heat dissipation technology are combined, the whole device is simple in structure, free of moving parts and low in noise, and various heat dissipation requirements can be met in an array mode.

The invention relates to an experimental device and an experimental method for researching ultrasonic bubble dynamics, belongs to the technical field of ultrasonic bubble dynamics, and solves the problem that an ultrasonic bubble dynamic process is difficult to comprehensively observe and accurately simulate in a laboratory in the prior art. The experimental device comprises an ultrasonic generator, an experimental water tank and the like, a probe is arranged through a fixing device, and all parts collect data cooperatively. The experimental method comprises the steps of fixing the probe, generating ultrasonic waves and collecting data, moving the probe to repeat the experiment, carrying out numerical simulation, observing the damaged paint coating and the like. According to the method, multi-dimensional data of the bubbles can be comprehensively obtained, theoretical simulation is combined, high-cost testing is avoided, the period is shortened, accuracy and economical efficiency are improved, powerful support is provided for development of related fields of the ultrasonic technology, and understanding of interaction of the ultrasonic bubbles and the solid surface can be deepened from the micro level.

The invention discloses a four-side elastic gauze fabric and a preparation process optimization method. The four-side elastic gauze fabric comprises a base cloth layer and a functional layer, the base cloth layer comprises the following components: 30%-50% of polyester fibers, 10%-30% of nanoparticles, 5%-10% of a composite material, 10%-15% of organic resin, 1%-8% of a binder, 5%-20% of spandex and 10%-30% of chinlon; the functional layer comprises the following components: 25%-35% of an anti-ultraviolet agent, 20%-45% of an antibacterial agent and 30%-50% of a softening agent; the anti-ultraviolet agent, the antibacterial agent and the softening agent are added into the fabric, the fabric elasticity can be improved while the fabric is resistant to ultraviolet rays and bacteria, in addition, defect analysis is conducted on the processed fabric through the ultrasonic technology, the processing technology parameters and the proportion value of different components are reversely adjusted according to the defect analysis result, the fabric processing efficiency is improved, and the fabric quality is improved. Meanwhile, it is guaranteed that the processed fabric has high elasticity and softness.

According to the fault early warning system for the wind power booster station provided by the invention, the limitation of traditional single-point monitoring is broken through by fusing the infrared ultrasonic technology and the ultrahigh frequency technology through the non-contact sensor, so that the early fault detection rate is greatly improved; the composite heat dissipation system suppresses the temperature rise of a transformer hot spot based on a dynamic heat management mechanism of a phase change material and a heat pipe, and the energy-saving efficiency is improved; the edge calculation early warning center converts temperature, partial discharge, strain and other multi-source heterogeneous data into a unified health degree index through a weighted fusion algorithm, and in combination with an equipment topology correlation analysis model, the positioning accuracy of a fault source is greatly improved, and the early warning response time delay is greatly reduced.

The invention belongs to the technical field of lithium ion battery lithium precipitation detection, and particularly relates to a lithium ion battery lithium precipitation diagnosis method based on an ultrasonic sensing technology. According to the method, lithium ion battery lithium precipitation fault diagnosis can be realized, the characteristic relation between the ultrasonic technology and the lithium ion battery lithium precipitation morphology is proposed for the first time, and a theoretical basis is provided for establishing an ultrasonic-based lithium precipitation early warning mechanism. And a theoretical basis is provided for deeply researching lithium precipitation distribution characteristics and a lithium dendrite evolution mechanism. And a key technical support is provided for developing a safer and more reliable next-generation energy storage system.