10 results about "Material physics" patented technology

This invention belongs to the technical field of material physical property analysis, and relates to a method and system for predicting the crack propagation trend of heat sinks using fractal geometry. The method includes the following steps: generating a two-dimensional original matrix of the infrared temperature field; inverting the stress source deformation kernel matrix using a preset empirical Green's space derivative function to generate a six-component moment tensor; generating a principal stress azimuth vector; generating an anisotropic rectangular metric grid; generating a multifractal singular extremum clustering image of the thermal field; generating the steepest fractal gradient vector; and coupling the normalized principal stress azimuth vector and the steepest fractal gradient vector into a preset multi-field parameter feature weighted superposition model to output the current crack propagation amount and crack propagation direction vector. This invention solves the problem that existing nondestructive testing technologies suffer from uncertainty in predicting crack propagation paths and rates due to the failure to effectively integrate microscopic mechanical stress field and macroscopic heat dissipation field information.

The invention discloses a temperature shock multi-parameter coupled coal rock anti-reflection effect dynamic detection system, and relates to the technical field of material physical property analysis, in the system, a temperature shock module applies temperature shock treatment to a coal rock sample according to temperature shock parameters; the multi-parameter detection module monitors physical parameters of a coal rock sample in real time in the temperature shock treatment process, and the physical parameters comprise a temperature parameter, a pressure parameter and an acoustic parameter; the data acquisition and processing module determines a dynamic index of an anti-reflection effect based on the physical parameters and a coupling algorithm; the dynamic indexes comprise coal rock permeability change and coal rock fracture development degree; and the dynamic output module displays the dynamic index in real time, compares the dynamic index with a preset threshold value, generates a feedback control signal according to a comparison result, and feeds back the feedback control signal to the temperature impact module to dynamically adjust the temperature impact parameter. According to the application, simulation analysis of dynamic association between real-time data of temperature, pressure and acoustic multi-field coupling of the coal rock sample and the anti-reflection effect is realized.

The application discloses a kind of based on acoustic response material physics simulation parameter nondestructive estimation method.This application contains four steps:1.to the acoustic simulation parameter of material in real world is collected, so as to obtain the probability distribution that acoustic simulation parameter obeys.By sampling and hierarchical filtering to the probability distribution, obtain several approximate feasible material acoustic simulation parameter.2.based on pre-computed boundary element method obtains the acoustic response signal of different acoustic simulation parameter.3.using one-dimensional convolutional neural network to establish the corresponding relationship between acoustic response signal and simulation parameter, and in the training process, utilize frequency domain background noise to carry out data enhancement.4.acquisition obtains the impulse response signal of material to be measured, and the signal is input into neural network, complete material acoustic simulation parameter estimation.In the process of simulation parameter measurement in the application, material sample will not be damaged, can nondestructively estimate material property, with higher efficiency.

This invention relates to the field of materials physics testing technology and discloses a product defect detection method based on machine vision. The method includes: applying a single-pulse energy beam using a pulsed radiation source, acquiring a polarization image sequence of the material under test, and calculating the phase delay; dividing the sequence into a first sampling interval dominated by thermal conduction and a second sampling interval dominated by elastic relaxation; extracting the background deformation component in the second sampling interval, and differentially offsetting the phase delay in the first sampling interval to filter out macroscopic thermal expansion signals and obtain local defect feature fields, thereby identifying internal defects. This invention utilizes the physical parameters of the thermodynamic relaxation stage as a dynamic benchmark to solve the temporal aliasing problem between macroscopic deformation noise and microscopic thermal resistance signals under transient thermal excitation, achieving physical decoupling of subsurface micro-defect features and background stress, improving the signal-to-noise ratio of internal stress quantization, and ensuring the physical quantification accuracy of deep microcrack detection in semiconductor wafers.

To perform high-accurate prediction of a physical property value corresponding to a required physical property.SOLUTION: A physical property value prediction device 1 includes: a data creation part 21 for dividing a data set 32 a plurality of times, and creating a plurality of data groups for learning and a plurality of data groups for evaluation; a first regression model creation part 22 for creating a plurality of first regression models on the basis of the plurality of data groups for learning for each of regression methods; a regression method determination part 23 for evaluating predication accuracy by the plurality of first regression models for each of the regression methods on the basis of the plurality of data groups for evaluation, and determining the regression method having the highest evaluation among the plurality of regression methods; a second regression model creation part 24 for creating a second regression model on the basis of the data set, using the regression method having the highest evaluation; and a physical property value prediction part 25 for predicting a physical property value on the basis of the input material data, using the second regression model.SELECTED DRAWING: Figure 1

The application discloses a coal rock permeability enhancement effect dynamic detection system of temperature impact multi-parameter coupling, and relates to the technical field of material physical property analysis. In the system, a temperature impact module applies temperature impact treatment to a coal rock sample according to temperature impact parameters; a multi-parameter detection module monitors physical parameters of the coal rock sample in real time during the temperature impact treatment process, the physical parameters including temperature parameters, pressure parameters and acoustic parameters; a data acquisition and processing module determines dynamic indexes of the permeability enhancement effect based on the physical parameters and a coupling algorithm; the dynamic indexes include coal rock permeability variation and coal rock crack development degree; a dynamic output module displays the dynamic indexes in real time, compares the dynamic indexes with preset threshold values, generates feedback control signals according to comparison results, and feeds back the feedback control signals to the temperature impact module to dynamically adjust the temperature impact parameters. The application realizes real-time data and dynamic correlation simulation analysis of the temperature, pressure, acoustic multi-field coupling of the coal rock sample and the permeability enhancement effect.

The invention provides an intelligent maintenance method and device for mining equipment, electronic equipment and a storage medium. The intelligent maintenance method comprises the following steps: constructing a multi-physical field simulation model based on a three-dimensional geometric model and material physical attributes of the mining equipment; fusing the multi-physics field simulation model with the digital simulation model to obtain a digital twin fused with the multi-physics field simulation model; acquiring real-time operation data of the mining equipment, and dynamically calibrating parameters of the multi-physical field simulation model in the digital twin body based on the real-time operation data; according to the method, the multi-physical field coupling effect in the operation of the equipment is analyzed, and the model parameters are dynamically calibrated by using the actually measured data, so that the prediction precision of the residual life of the vulnerable part of the mining equipment is improved, and the sudden failure risk of the equipment is reduced; and a full-process automatic maintenance closed loop is established by taking a digital twin model prediction result as a trigger point, so that automatic scheduling is realized, and the mine production efficiency is improved.

The application discloses a temperature difference-deformation decoupling method for in-situ monitoring of thermal expansion coefficient, and belongs to the technical field of material physical performance testing. The method comprises the following steps: acquiring high spatial resolution temperature distribution data and full-field deformation data; performing three-dimensional reconstruction on the high spatial resolution temperature distribution data to generate dynamic temperature field data; calculating theoretical thermal stress based on the dynamic temperature field data and material mechanics parameters to generate interference deformation data; introducing a dynamic correction coefficient to decouple the full-field deformation data and output a real thermal expansion deformation field; calculating the thermal expansion coefficient based on the real thermal expansion deformation field and temperature change trend data; monitoring the uniformity index of the real thermal expansion deformation field, and adjusting the dynamic correction coefficient and the material mechanics parameters online. The application can realize high-precision dynamic monitoring of the thermal expansion coefficient of a material under non-uniform temperature conditions by synchronously collecting a temperature field and a deformation field, theoretically calculating and removing thermal stress interference deformation caused by temperature difference, and combining a closed-loop feedback optimization mode.

The invention provides a simulation method for a precipitation and crystallization process of a solution in a reactor. The simulation method comprises the following steps: constructing a geometric model; building a numerical simulation model of multi-physics field coupling of a flow field, a temperature field, a concentration field, reaction kinetics, crystallization kinetics and evaporation kinetics; setting process conditions and material physical and chemical parameters required by each physical place, and setting boundary conditions; carrying out grid division on the established three-dimensional model and then carrying out calculation solution; and outputting a simulation result. The method has the beneficial effects that key indexes such as crystal nucleation rate distribution, crystal growth rate distribution, grain size distribution and grain polydispersity index are accurately predicted by coupling multiple physical fields such as a flow field, a temperature field, a concentration field, reaction kinetics, crystallization kinetics and evaporation kinetics in a reactor; the problems that a simulation technology of a three-dimensional complex crystallization process in the field of reactors is blank and a sufficient theoretical basis cannot be provided for reactor design and process optimization are solved.

The invention provides a disconnector temperature rise multi-physical-field pre-judgment method, which comprises the following steps of: performing geometric modeling and material modeling on a defined disconnector physical structure by utilizing multi-physical-field simulation software, and performing grid distribution to obtain a multi-physical-field geometric and material physical model; based on a multi-physics field geometry and material physics model, electric field and temperature field simulation and simulation probe setting are carried out under various current working conditions, and a multi-physics field simulation temperature rise result is obtained; based on the defined physical structure of the disconnector, parameterization scanning is conducted on the structure size of each part of the disconnector, multiple scheme results are obtained, and an optimal design scheme is selected from the scheme results; and based on the multi-physical field simulation temperature rise result of the optimal scheme, comparing the simulation temperature rise with the expected temperature rise, pre-judging the disconnector according to the comparison result, and obtaining a simulation credibility evaluation result. According to the invention, the number of samples can be reduced, the test period is shortened, blind field tests are avoided, and the technical effects of energy conservation and cost reduction are realized.