14 results about "Ultrasonic scattering" patented technology

The invention provides a method for detecting a welding seam by adopting an ultrasonic flaw detector, and belongs to the technical field of welding seam detection. The welding seam is divided into small welding sections, and each small welding section is subjected to multi-direction ultrasonic scanning; a scattering attenuation coefficient and a signal-to-noise ratio parameter are calculated to determine an optimal detection position direction vector group and an optimal time frequency group, and then a high-frequency narrow pulse probe is matched with a phased array focusing technology to carry out second detection according to the optimized parameter; and the identified defects are classified and evaluated according to the near surface blind area characteristic parameters, secondary verification is performed by adopting a surface wave supplementary detection algorithm, and finally a weld defect position distribution diagram is generated, so that the technical problem of low defect detection accuracy caused by serious ultrasonic scattering attenuation of a coarse grain structure weld material is solved.

Provided is a large specific surface area isomelanin-based carbon nanomaterial and a preparation method thereof. The preparation method of the isomelanin nanomaterial is to prepare a mixed solution of 1,8-dihydroxynaphthalene in acetone and water, and add a trichloride hexahydrate iron solution to the solution to form a 1,8-dihydroxynaphthalene-iron ion complex solution, then add a potassium dichromate solution to stir the reaction to obtain a black turbid solution, and centrifuge and wash to obtain the isomelanin nanomaterial; the isomelanin nanomaterial is subjected to high temperature heat treatment under an inert atmosphere, and KOH activation is performed to obtain an isomelanin nanomaterial with a large specific surface area. The preparation method of a supercapacitor electrode sheet is to mix the prepared carbon nanomaterial, carbon black and polytetrafluoroethylene, ultrasonically disperse them in an aqueous solution, dry them, roll them to obtain a black film, and press them on a current collector to obtain an electrode sheet. The isomelanin nanomaterial with a large specific surface area prepared by the method has high specific capacitance and cycle stability, and has broad applications in energy fields including supercapacitors.

To provide a crystal structure evaluation method and a crystal structure evaluation device capable of evaluating the uniformity of a crystal structure without depending on measurement conditions when evaluating the uniformity of the crystal structure using ultrasound in a material containing crystal grains.SOLUTION: A crystal structure evaluation method comprises: a measurement step of radiating ultrasound to a test material from a plurality of incident points on a surface, measuring intensity of the ultrasound as a function of time in a reflection direction or a transmission direction of the incident ultrasound, and acquiring ultrasound signals for the respective incident points; an envelope processing step of obtaining an envelope for each of the ultrasound signals; a correlation coefficient acquisition step of creating a plurality of pairs by selecting two envelopes from a group of envelopes, and obtaining a correlation coefficient between the two envelopes in at least a partial time domain for each pair; an averaging step of averaging the plurality of correlation coefficients; and a structure evaluation step of determining that a higher average value obtained indicates that a test material has a crystal structure having highly uniform crystal grains providing lower ultrasonic scattering intensity.SELECTED DRAWING: Figure 5

The invention discloses an underwater wavelength scale sound scattering object classification and identification method based on continuous wavelet transform and Botnet, and the method comprises the steps: extracting the time-frequency joint features of a sound scattering signal through the continuous wavelet transform, and processing an obtained time-frequency graph through the feature extraction capability based on a convolutional neural network method, thereby recognizing and classifying an object. According to the method, a framework of ultrasonic scattering-time frequency analysis-deep learning is provided, the gradient disappearance problem in deep network training is effectively relieved through cross-layer jump connection, and it is ensured that the model can capture multi-level detailed information in a time frequency feature map; and global structure information of a time-frequency domain can be mined through a self-attention mechanism, so that the precision of a multi-category classification task is improved.

The invention relates to the technical field of ultrasonic testing, in particular to a nondestructive testing method and device for inclusions in a titanium alloy bar. The method comprises the following steps: synchronously acquiring ultrasonic A scanning signals before and after multi-moment thermal imaging and thermal excitation by applying thermal pulse excitation; calculating a delay cooling factor based on the pixel temperature time sequence change, determining a hot spot existence rate in combination with the spatial distribution of the delay cooling factor in a multi-direction neighborhood, and screening a thermal abnormal region; in the region, a peak redundancy coefficient is determined by using time sequence volatility of ultrasonic signal amplitude, A scanning waveforms before and after thermal excitation are analyzed through window sliding cross-correlation to obtain a distortion degree, the two are fused to obtain an ultrasonic abnormal degree, and whether inclusions exist or not is judged according to the ultrasonic abnormal degree. According to the method, ultrasonic scattering noise caused by a titanium alloy coarse grain structure is effectively avoided, and the reliability of tiny inclusion detection is improved.

The invention discloses a gas molecule inlaid deformable polymer composite nano-particle for targeting microthrombus and a preparation method and application thereof, the composite nano-particle takes an amphiphilic block deformable copolymer PEG-PASp-Cx with a hydrophilic outer layer and a hydrophobic core as a skeleton, and the hydrophobic core encapsulates gas molecules through physical adsorption to obtain the gas molecule inlaid deformable polymer composite nano-particle; due to the existence of the gas molecules, the ultrasonic scattering characteristic of the nanoparticles is improved, meanwhile, the particle shear force sensitivity and the ultrasonic scattering characteristic of the polymer nanoparticles are improved, the thrombus adhesion effect is achieved, the high acoustic impedance difference between microthrombus and surrounding tissues is achieved, high-resolution development of the microthrombus is achieved, and the microthrombus can be developed through a contrast enhanced ultrasonic CEUS technology. The local enrichment process of the nanoparticles in thrombus can be tracked in real time, and the method has extremely high application value in the field of development detection of microthrombus diseases.

The present invention discloses an intelligent recognition method and system for tissue damage in neurosurgery, which relates to the field of medical technology and includes: performing ultrasonic monitoring on the target nerve tissue, collecting ultrasonic scattered echo signals, and preprocessing the collected signals to obtain the preprocessed ultrasonic scattered echo signals; performing Fourier transform on the preprocessed ultrasonic scattered echo signals to obtain the time-frequency of the Fourier transform; performing energy analysis on the time-frequency of the Fourier transform to obtain the time-frequency energy analysis result; positioning the nerve tissue damage area according to the time-frequency energy analysis result to obtain the echo signal of the damage area, and positioning the nerve tissue damage area according to the time-frequency energy analysis result to obtain the echo signal of the damage area. The present invention improves the accuracy and reliability of nerve tissue damage recognition through feature extraction and classification.

The invention provides an ultrasonic image reconstruction method. The method comprises the following steps: taking original radio frequency data received by an ultrasonic probe as an image reconstruction object; firstly, a sound field characteristic matrix of an ultrasonic probe in a two-dimensional plane is obtained through measurement of a hydrophone; according to the sound field characteristic matrix, a pulse-echo matrix corresponding to a two-dimensional plane is obtained through a classic sound field propagation rule, and probe excitation signals, probe response characteristics and sound field distribution prior are introduced into a reconstruction process; then, through a classic ultrasonic scattering echo model, a mapping relation among ultrasonic echo data, a pulse-echo matrix and an ultrasonic two-dimensional image is obtained; then, by introducing a multi-frame shared sparse constraint and optimization method, high-speed video reconstruction is realized instead of traditional single-frame reconstruction; the method has the beneficial effects that the signal-to-noise ratio and the signal-to-background ratio are remarkably improved, and meanwhile, side lobe and grating lobe artifacts are reduced.

The invention relates to the technical field of intelligent detection, and discloses an intelligent detection method and system for the tensile property of a forging blank. The method comprises the following steps: performing parameter acquisition on the wind power flange forge piece to obtain process state tensor data; performing cooling rate gradient analysis and deformation force anisotropy calculation on the wind power flange forge piece to obtain a three-dimensional distribution diagram of a heterogeneous region; performing ultrasonic scattering and micro-magnetic Barkhausen noise bimodal detection in combination with the three-dimensional distribution diagram of the heterogeneous region to obtain a microstructure parameter set; carrying out radial gradient weighted sampling on a high-stress area around a bolt hole of the wind power flange forging to obtain a microstructure parameter gradient distribution diagram of the high-stress area; and performing metallographic structure-mechanical property mapping on the microstructure parameter set and the high-stress area microstructure parameter gradient distribution diagram to obtain tensile property prediction data. According to the method, the accuracy of predicting the performance of the key region of the wind power flange forge piece is improved.

The invention discloses a metal bar damage evaluation method based on ultrasonic scattering, and the method comprises the steps: determining a critical ultrasonic scattering angle when a metal bar is immersed in liquid; a metal bar to be detected is completely immersed in the liquid, and a transmitting ultrasonic probe and a receiving ultrasonic probe are generalized and symmetrically arranged in the liquid according to the critical ultrasonic scattering angle; the transmitting ultrasonic probe excites ultrasonic waves in the liquid, the oblique incidence ultrasonic waves are scattered at a detection point on the surface of the metal bar and then received by the receiving ultrasonic probe, the amplitude Apct of a received scattered signal is extracted, and the damage index Idmg of the detection point is calculated so as to quantitatively evaluate the damage degree of the detection point; and the metal bar is subjected to rotary scanning, and detection of the damage state of the metal bar is completed.

The invention discloses an aquaculture unit fish school counting method based on dynamic calibration ultrasonic scattering, and the method comprises the three stages: firstly, constructing an initial model, transmitting and receiving an echo signal through an ultrasonic transducer, calculating a signal ratio, determining an effective time domain and a scattering range through a variable coefficient, and calibrating a mapping relation between the scattering range and the number of fish schools; secondly, the model is applied in real time, the real-time scattering range is calculated after ultrasonic signals are collected in real time and noise is removed, and the real-time fish school number is output in combination with the calibrated mapping relation; and finally, monitoring environmental parameters such as water temperature and salinity in real time, and when the environmental parameters exceed a preset reference range, automatically triggering the model to re-calibrate and update the parameters so as to maintain long-term accuracy of the model and replace traditional manual sampling and machine vision counting.

This invention relates to the field of underwater weld technology and discloses a method and system for forward modeling of nonlinear ultrasonic scattering in the early stage of underwater welds. The method includes: obtaining material nonlinear parameters based on the ratio of second harmonic to fundamental wave amplitude; obtaining interface contact nonlinear parameters through the second harmonic amplitude in the reflected wave from the crack interface; establishing water-solid interface propagation conditions and constructing a sound velocity model; combining the sound pressure superposition relationship under multipath propagation and array excitation conditions to obtain the total fundamental wave sound pressure at any receiving point within the weld; and constructing a unified nonlinear ultrasonic forward scattering model by introducing equivalent local nonlinear parameters for unified characterization. This invention, by constructing a unified characterization model of material nonlinearity and contact acoustic nonlinearity, and combining the water-solid coupling propagation mechanism with Green's function forward modeling, can improve the completeness of the description of nonlinear ultrasonic scattering mechanisms and the accuracy and stability of the quantitative characterization of early-stage micro-damage in underwater welds.

A method and dedicated device for ultrasonic detection of microcracks in semiconductor silicon rings are disclosed, specifically comprising: selecting a piezoelectric crystal with a size of 6–10 mm and a frequency range of 1 MHz–15 MHz for a water immersion focusing ultrasonic probe; calculating the required incident angle for the ultrasonic waves to refract into transverse waves, surface waves, and creeping waves at the water / silicon interface; adjusting multiple sets of ultrasonic probes to emit ultrasonic waves at different tilt angles according to the incident angle value; the ultrasonic waves are refracted on the surface of the semiconductor silicon ring, resulting in waveform conversion; the refracted waves excited by ultrasonic waves at different incident angles in the semiconductor silicon ring propagate in the silicon wafer along a certain propagation path; when they encounter a defect, ultrasonic scattering occurs, and the reflected waves in the scattering return along the original path and are received by the ultrasonic probe; the ultrasonic probe converts the reflected wave signal into a detection electrical signal and transmits it to the ultrasonic instrument; the ultrasonic instrument uploads the result signal to an industrial control computer; the imaging software in the industrial control computer images the detection results and displays the distribution information of the microcracks in the entire semiconductor silicon wafer.

The invention discloses a composite material scattering effect quantitative detection method based on envelope area evolution on ultrasonic echoes, and belongs to the field of composite material nondestructive testing, and the composite material scattering effect quantitative detection method comprises the following steps: exciting ultrasonic waves above a composite material, and receiving a reflection echo signal at an excitation position; receiving an ultrasonic echo signal under the influence of a scattering effect brought by anisotropy of the composite material, and taking an upper envelope line from an ultrasonic echo waveform; carrying out peak analysis on the first, second and third echo upper envelopes in the upper envelope line and taking integral values of the areas of the first, second and third echo upper envelopes; under the condition of composite materials with different anisotropy degrees, obtaining a series of ultrasonic echo signals and an envelope peak integral area on ultrasonic echoes under the condition of composite materials with different anisotropy degrees; and fitting the anisotropy degree with the peak integral area of the envelope on the ultrasonic echo to obtain an incidence relation between the anisotropy degree and the envelope area. According to the invention, quantitative detection of the ultrasonic scattering effect in the composite material is realized.