39 results about "Charge density" patented technology

The invention relates to the technical field of partial discharge processing, and discloses a partial discharge processing method and system based on electric field analysis, and the method comprises the steps: synchronously collecting the multi-point electric field intensity and charge density of a device surface, recognizing a charge abnormal region, and calculating an electric field non-uniformity index; inputting the information into a finite element analysis model, simulating an electric field distortion process, and positioning potential discharge induction points; predicting a charge accumulation trend of each potential point in combination with historical operation data, and constructing an optimization function taking minimization of global electric field distortion and charge accumulation risk as a target according to the charge accumulation trend; and with the function as a convergence target, an optimal electric field compensation parameter is automatically solved through iterative calculation. According to the partial discharge processing method and system based on electric field analysis, predictive recognition and counteracting are carried out on discharge core inducements, and active and accurate suppression of partial discharge of equipment is achieved.

The application discloses a GIS insulator partial discharge charge on-line detection method and system, and relates to the technical field of charge detection.The method comprises the following steps: according to a GIS simulation model, simulating the electric field distribution of charge generation in the partial discharge process, determining the performance index of the required electric field sensing probe, and preparing the electric field sensing probe; according to an epoxy resin model, obtaining the charge density, the charge distribution range and the electric field signal collected by the electric field sensing probe under different voltage pulses, and constructing a test data set; according to the GIS simulation model, obtaining the electric field signal under different charge densities and different charge distribution radii, and constructing a training data set; training a neural network model according to the training data set, and correcting according to the test data set; and collecting the partial discharge electric field signal by using the electric field sensing probe array arranged on the outer wall of the GIS insulator, and obtaining the charge density and the charge distribution range on the surface of the insulator by using the neural network. Non-invasive and non-contact on-line measurement is realized.

The application discloses a composite defect signal quantification detection method, relates to the technical field of industrial nondestructive testing, and is characterized in that: a defect space leakage magnetic field is established, a three-dimensional rectangular coordinate system is established based on a magnetic charge model, magnetic charge density corresponding to a magnetic charge unit segmented on a defect end face is established, the relationship between a ferromagnetic material and stress is determined, magnetic induction intensity and unit area corresponding to the magnetic charge unit segmented on the defect end face are established, total magnetic charge density, magnetic induction intensity and area of the defect end face are established, and then axial and radial components of a defect magnetic signal are solved. The application fully considers the influence of stress on defects of the ferromagnetic material, simulates and calculates signal characteristics of the magnetic signal of the ferromagnetic material under the action of different defect stresses, and provides a more comprehensive, efficient and stable detection method for defect evaluation of the ferromagnetic component by the leakage magnetic detection technology.

The application discloses a method for quickly obtaining a steady-state space electric field of an insulation layer of a self-powered detector, and comprises the following steps: obtaining radiation field information and detector information at a position where a self-powered neutron detector is located, and simulating to obtain an electric charge deposition amount generated by irradiation current in different radius intervals per unit time of the detector; according to the law of conservation of electric charge, estimating an electric charge loss amount generated by conduction current in different radius intervals of an insulator per unit time under a steady-state condition; combining Ohm's law to establish an expression of the electric charge loss amount generated by the conduction current about an electric field intensity under the steady-state condition, and combining a boundary condition to obtain an electric field intensity distribution, an electric charge density distribution and a potential distribution. The application can effectively improve the calculation efficiency and realize efficient simulation of the sensitivity of the self-powered neutron detector.

The invention discloses an insulator sample internal charge transport simulation method and system based on a Nebula simulator, and the method comprises the steps: mapping a continuous or non-grid particle accumulation behavior into a charge density source item on a finite difference grid through a finite grid drift diffusion module after obtaining scattering simulation data of the Nebula simulator; then, a strong coupling iteration mechanism is used for simultaneously solving a Poisson equation and carrying out drift diffusion calculation in each micro time step so as to accurately and efficiently iteratively calculate the electric field evolution process in the insulator, and the charge density, the electric field and the dynamic evolution process in the insulator are fed back to a Nebula simulator; therefore, the technical problem that an existing Nebulla simulator neglects an internal electric field and cannot effectively describe the long-term accumulation and evolution process of charges in a material is solved, and the simulation precision of electron beam measurement and imaging is improved.

This invention discloses a method for determining the surface charge density of micro / nano particles. The method first uses light scattering technology to determine the critical agglomeration concentration of micro / nano particles at a given electrolyte type and temperature. Then, under this concentration condition, the resultant force of electrostatic repulsion and long-range molecular attraction between particles is calculated, and the particle surface potential under this condition is determined. Finally, the surface charge density of the particles is obtained based on the obtained surface potential. This invention can accurately calculate the surface charge density of micro / nano particles by determining the critical agglomeration concentration using a laser scattering instrument, eliminating the need to separately measure the outer surface area of ​​the particles in a gaseous medium and the number of surface charges in a liquid medium before calculating the surface charge density.

The invention provides a method for calculating and predicting the self-recovery mechanoluminescence performance of a material based on a first principle. According to the method for calculating and predicting the self-recovery mechanoluminescence performance of the material based on the first principle, a luminescent material and an elastomer material monomer (such as PDMS) serve as objects, an interface model of the luminescent material and the elastomer material monomer (such as PDMS) is firstly constructed, charge density calculation is completed with the help of first principle calculation tools such as CP2K and VASP, then difference operation is conducted on charge density distribution, a difference charge density map is generated, and the self-recovery mechanoluminescence performance of the material is predicted. Then three-dimensional visual analysis is carried out through visual analysis tools such as VESTA and VMD, a result is obtained, and finally a target material meeting a preset screening condition is obtained through result evaluation. According to the method for calculating and predicting the self-restoring force luminescence performance of the material based on the first principle, efficient prediction of the self-restoring force luminescence performance of the material is achieved by combining first principle calculation and visual analysis, and the method has the advantages that complex experimental operation is not needed, the material screening period is greatly shortened, the prediction result is high in accuracy and the like; and an important theoretical support is provided for design and development of the self-recovery mechanoluminescent material.

This application discloses an analytical method for electrolyte systems based on low-scaling Monte Carlo simulations of electrostatic interactions, relating to the field of molecular simulation technology. The method includes: constructing an initial model of the target system and configuring simulation parameters; initializing local electric displacement auxiliary field variables; using these variables to describe the local electric displacement state of the target system; randomly selecting and updating an object; the updated object being the particle configuration and / or the local electric displacement auxiliary field variables; determining the equivalent local electric field strength at the target spatial location after updating the object; updating the local dielectric constant at the target spatial location based on the equivalent local electric field strength; and after updating the local dielectric constant, determining the various electrostatic interaction energies in the target system and evaluating the total electrostatic energy. This method can accurately describe the complex electrostatic interactions between components caused by local electric fields, high charge density, and the dielectric response properties of the components while ensuring computational efficiency.

The invention discloses a tunnel wind energy collection and wind speed identification system and method based on a Ti3SiC2 / PDMS composite film, and relates to the technical field of tunnel wind energy collection and wind speed monitoring. The material of the friction layer is improved, the high-friction-performance composite material is adopted, the charge density and abrasion resistance of the material are enhanced, the TENG structure is optimized, and the energy conversion efficiency of the TENG structure is improved; a self-energy-supply monitoring system is combined, more accurate wind speed monitoring is achieved through an algorithm, and the requirements for efficient utilization and continuous monitoring of tunnel wind energy are met; the technology provides a new solution for wind energy collection in a tunnel environment, and has a wide application prospect.

The application belongs to the technical field of equipment insulation influence evaluation considering streamer discharge, and provides a streamer discharge simulation modeling method, system, medium and equipment of charge behavior under complex working condition coupling, which is based on the theory of shearing separation of double electric layer, and an oil-paper-interface multi-region charge dynamic transport simulation model is established by coupling oil flow convection term, shearing term and temperature effect; based on the established transport simulation model, the whole evolution process of streamer discharge from diffusion, longitudinal evolution to transverse migration under the coupling of electric field, fluid field and thermal field is simulated by combining the charge injection and extraction boundary conditions at the electrode, the charge density distribution and electric field strength distribution data in the streamer evolution process are obtained; the streamer evolution law is analyzed based on the charge density distribution and electric field strength distribution data, so as to evaluate the oil-paper insulation state or optimize the oil-paper insulation structure. The coupling effects of electric field, fluid field and thermal field are comprehensively considered, and the actual operating condition of the converter transformer is more accurately simulated.

The application discloses a 4D-STEM DPC electric field direction calibration method, and relates to the technical field of electron microscopy. The method comprises the following steps: obtaining original 4D-STEM data, generating an ADF image and calculating an electric field vector field; extracting a set of atomic column center positions from the ADF image; constructing a candidate set of discrete coordinate transformations, selecting an optimal flip transformation based on the radial consistency of the electric field near the atoms; performing a coarse-to-fine search on the rotation angle through a target function to determine an optimal rotation angle; eliminating the 180-degree direction ambiguity by calculating the sign of the weighted charge density indicator in the atomic neighborhood; and calibrating the original centroid shift field by applying the optimal flip transformation and the final rotation angle, and outputting the calibrated electric field, charge density and potential distribution. The application can automatically identify and correct the coordinate axis flip and mirror transformation, eliminate the 180-degree direction ambiguity, output the unique and correct electric field direction, and be suitable for the general 4D-STEM DPC analysis process.

The application discloses a dielectric barrier discharge plasma exciter model establishing method considering uncertainty, relates to the technical field of computational fluid dynamics, flow control and aeroacoustics, and comprises the following steps: firstly, time-averaged velocity fields under different excitation voltages are obtained through a static ion wind experiment, and volume force distribution and key evaluation indexes are inversed based on momentum balance; then, a parameterized linear plasma equivalent model is constructed, and charge density and an action region boundary are identified as uncertainty design variables; high-fidelity simulation and a proxy model are combined, interval multi-objective optimization is carried out in the initial range of variables, and interval midpoints and radii of peak velocity and volume force error are simultaneously minimized; finally, a corrected model with consideration of both accuracy and robustness is obtained, and is embedded into a CFD solver for flow control simulation. The application effectively overcomes the influence of parameter uncertainty, and significantly improves model prediction accuracy and engineering applicability.

The application discloses a kind of quantitative methods of magnetic flux leakage signal characteristics, including based on the step of establishing subarea magnetic charge distribution density model, the step of establishing subarea magnetic charge received coulomb force model and the step of establishing the magnetic charge amount equation group of defect area, obtain the magnetic charge amount equation group of defect area, in the step of establishing magnetic charge density model, obtain the magnetic charge density model of defect area first sidewall, based on the step of establishing improved effective field model to obtain improved effective field model, and in the step of establishing the relationship model between improved magnetization intensity and stress to obtain the relationship model between improved magnetization intensity and stress, again based on improved magnetic charge density model to obtain composite magnetic charge analytical model, again through experimental verification step, improved magnetic charge density model and composite magnetic charge analytical model are verified.The non-uniform distribution of magnetic charge and stress of stress concentration area are introduced into composite magnetic charge analytical model in the application, so that the calculation and measurement result of magnetic flux leakage signal characteristics is more accurate.

The application discloses a kind of mixed emulsion explosive charging density intelligent adjustment and conveying method, comprising the following steps: S1, parameter perception and data acquisition: through the flow sensor, temperature sensor, pressure sensor and position sensor installed on mixed emulsion explosive truck, respectively collect the delivery flow, temperature, delivery pressure of latex matrix, and borehole depth, aperture data, simultaneously obtain the rock blastability parameter of operation area rock by rock blastability detection module, all collected data are transmitted to control unit in real time.The application solves the problem that traditional charging density cannot intelligently adapt to rock characteristics, has low conveying efficiency and insufficient safety, improves the blasting effect and intrinsic safety level, and is suitable for intelligent charging operation of mixed emulsion explosive in open-pit mine site.

The application relates to a wafer micro-damage wafer picking method and device based on vacuum adsorption and electrostatic balance, which comprises the following steps: detecting the surface charge distribution of a wafer to be picked, dividing the charge neutralization area according to the electrostatic charge density distribution data and setting ion flow release parameters; establishing a negative pressure adsorption state, and releasing a bipolar ion flow based on the ion flow release parameters; obtaining the adsorption force distribution, identifying the weak adsorption area and adjusting the air exhaust passage opening degree to enhance the local negative pressure; applying a gradual peeling force along the edge area, introducing a preset gas into the separated area to form a gas film support after the edge separation, and reducing the negative pressure and increasing the gas flow when the center area is about to be separated; and completing the wafer picking through the flexible clamping piece contacting the non-functional area after complete separation. The application has the effect of effectively reducing the micro-crack, edge collapse, scratch and particle pollution risk in the wafer picking process through regional electrostatic neutralization, partition negative pressure compensation and low stress cooperative peeling control.

The application discloses an h-adaptive moment method applied to electromagnetic scattering, and comprises the following steps: an electromagnetic model for calculating scattering characteristics of a to-be-measured target is created, and initial mesh division under plane wave excitation is carried out; current coefficients of each grid element at present are solved by using a moment method based on RWG base functions, and then surface charge density at a super-convergent point in the corresponding grid element is calculated; local errors of the corresponding grid element are calculated based on the surface charge density at the super-convergent point in each grid element and a super-convergent point recovery method; global errors are calculated based on the local errors of each grid element; whether an iteration stopping condition is met is judged; if not, mesh refinement is carried out on some grid elements based on a B-W interpolation point algorithm, re-divided grids are obtained, and the current coefficient solving step is returned; if yes, iteration is stopped, and the current solved current coefficient is output. The application can guarantee calculation precision, robustness, reduce error estimation, reduce the number of mesh refinement and reduce the consumption of calculation resources.

The invention relates to the technical field of electron microscope sample preparation, and discloses a charge density enhanced hydrophobin HFBI mutant mesh film for a cryoelectron microscope and a preparation method and application thereof. The invention provides a surface charge enhanced HFBI mutant. Targeted enrichment and orientation control on different samples are enhanced by designing charge distribution on an electrostatic interface. According to the hydrophobic protein HFBI mutant carrier network disclosed by the invention, a plurality of key bottlenecks in preparation of a cryoelectron microscope sample are systematically overcome by virtue of a synergistic effect of three aspects of resolution improvement, orientation regulation and enrichment enhancement, and a powerful tool is provided for analyzing a high-resolution three-dimensional structure of biological macromolecules.

The invention relates to the technical field of electronic design automation, and discloses a multi-conductor transmission line distribution parameter calculation method, a readable storage medium and electronic equipment. The multi-conductor transmission line distribution parameter calculation method comprises the steps of obtaining multi-conductor transmission line parameters of a printed circuit board to be simulated; for a conductor transmission line with a rectangular cross section, a first type Chebyshev polynomial is used as an expansion function to unfold charge density distribution on the surface of a conductor, the zero point of the first type Chebyshev polynomial is a Gaussian-Chebyshev integral point, discretization processing is carried out on an integral equation, and the integral equation is converted into a linear equation set; and solving the linear equation set to obtain a charge distribution coefficient, and determining charge distribution on the surface of the conductor according to the coefficient. According to the technical scheme, the Chebyshev polynomial is adopted as the primary function to expand and represent the to-be-solved charge density on the segments, a traditional primary function is replaced, the calculation precision is high, and the calculation amount is small.

The invention relates to an RTP pretreatment method for the minority carrier lifetime of a silicon wafer, which belongs to the technical field of silicon wafer processing, and comprises the following operation steps: 1, carrying out pretreatment preparation for cleaning the silicon wafer, and blow-drying the cleaned silicon wafer through nitrogen; secondly, RTP module parameters are set and debugged, and an integrated high-purity heat treatment cavity is adopted in an RTP module; and thirdly, RTP passivation treatment is carried out. 4, performing double-sided charge deposition treatment; a corona charge deposition device is adopted, negative charges are deposited on the front face and the back face of the silicon wafer respectively, and the charge density is controlled to range from-1500 nC / cm to 2000 nC / cm. 5, detecting connection and system control; after charge deposition is completed, the silicon wafer is directly transferred to mu-PCD detection equipment, the oxide layer continuously anchors surface charges in the detection process, and the passivation effect is maintained. By performing high-quality passivation on the surface of the silicon wafer, the influence of surface recombination on minority carrier lifetime measurement is eliminated to the greatest extent, so that the body lifetime of the silicon material is accurately reflected.

The invention discloses a bushing insulator surface charge density adaptive inversion method, device and equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: constructing a geometric simulation model comprising a target key part, and carrying out the coupling simulation through the target geometric simulation model, so as to determine a temperature field file; and defining an initial temperature field, updating the conductivity by using the temperature field file and the electric field distribution corresponding to the initial temperature field, determining new electric field distribution based on the updated conductivity, and skipping to the step of updating the conductivity by using the temperature field file and the electric field distribution until a first preset convergence condition is met, obtaining electric field characteristic distribution and conductivity distribution; and determining a potential charge conversion matrix based on the temperature field file, the electric field characteristic distribution and the conductivity distribution, and constructing an inversion equation by using a second preset convergence condition to determine the charge density distribution. And the authenticity and reliability of insulator surface charge inversion in equipment such as a gas insulation sleeve are improved.

The invention discloses an ion air flow field multi-physical field coupling method, system and device and a medium, and the method comprises the steps: setting a boundary condition containing a space charge density initial value for an electrostatic field, a charge field and an air flow field, and obtaining a multi-physical field model with initial boundary setting; a bidirectional coupling system among an electric field, a charge field and a flow field is obtained by taking current physical force determined by charge density and electric field intensity as a source item to be introduced into a Navier-Stokes equation and establishing a feedback relation between charge convection and the flow field speed; and carrying out iterative verification on the surface electric field intensity of the corona electrode according to a Pick formula and a Carprov hypothesis by carrying out numerical solution to obtain an ion wind flow field result. According to the method, the physical authenticity, the calculation stability and the engineering applicability of ion wind flow field simulation are remarkably improved.

This invention belongs to the field of permanent magnet drive and spatial magnetic field analytical calculation technology. It discloses a method for calculating the magnetic force of radially magnetized trapezoidal magnets considering the magnetic charge distribution on the entire surface. The steps are as follows: First, establish a three-dimensional spatial geometric coordinate system and solve for the surface equivalent magnetic charge density perpendicular to the magnetic polarization intensity vector direction in each trapezoidal magnet; Second, derive the analytical expression of the normal vector of the inclined side of the trapezoidal magnet and solve for the magnetic charge distribution on its edge equivalent surface; Third, construct a discrete integral equation for the entire surface and calculate the total radial magnetic force between the first trapezoidal magnet and the second trapezoidal magnet. This method makes up for the theoretical truncation error caused by ignoring the side magnetic charge in the traditional analytical model. Based on this high-fidelity theoretical analytical model, the true edge magnetic field distortion and spatial coupling characteristics at the magnetic pole junction can be accurately obtained, providing strong theoretical support for the precision design of various high-end permanent magnet drive equipment. It is a calculation method with universality and practical application value.

The application belongs to the technical field of equipment insulation influence evaluation considering streamer discharge, and provides a streamer discharge simulation modeling method, system, medium and equipment of charge behavior under complex working condition coupling, which is based on the theory of shearing separation of double electric layer, and an oil-paper-interface multi-region charge dynamic transport simulation model is established by coupling oil flow convection term, shearing term and temperature effect; based on the established transport simulation model, the whole evolution process of streamer discharge from diffusion, longitudinal evolution to transverse migration under the coupling of electric field, fluid field and thermal field is simulated by combining the charge injection and extraction boundary conditions at the electrode, the charge density distribution and electric field strength distribution data in the streamer evolution process are obtained; the streamer evolution law is analyzed based on the charge density distribution and electric field strength distribution data, so as to evaluate the oil-paper insulation state or optimize the oil-paper insulation structure. The coupling effects of electric field, fluid field and thermal field are comprehensively considered, and the actual operating condition of the converter transformer is more accurately simulated.

An ultra-high charge density electret is disclosed. The ultra-high charge density electret includes a three-dimensional structure with multiple sidewalls. A porous silica film is formed on the multiple sidewalls, and the porous silica film is charged by multiple positive or negative ions.

The invention provides a ferroelectric field effect transistor modeling and simulation method, device, equipment and medium, and the method comprises the steps: building a coupling equation system for describing a key physical quantity incidence relation among ferroelectric layer polarization, interface trapped charges and potential distribution, and enabling the equation system to comprise a charge conservation equation introducing a trapped charge density item; when charge trapping occurs in an interface trap and trap trapped charge evolution is caused, a charge conservation equation is fed back to act on the ferroelectric layer, redistribution of effective field intensity in the ferroelectric layer is caused, and change of polarization overturning dynamics is induced; setting fixed parameters of adapter device characteristics, and configuring simulation pulse waves including the whole process from pre-pulse and covering device writing to reading; and according to the set simulation parameters, on the basis of the constructed model equation, the configured pulse waveform and the fixed parameters, through a self-consistent iterative algorithm in combination with charge conservation conditions, determining the relationship of source-drain current changing with grid voltage, and realizing electrical property simulation of the FeFET device.

The present application relates to a kind of methods for calculating the electric field distribution of human body under UHV DC transmission line, belong to high voltage transmission technical field.The method includes the following contents: a, calculation, the electric charge method is applied to calculate the electric charge density of UHV DC transmission line conductor and the electric field line method is calculated to calculate the potential of any point in space under transmission line;B, human body modeling, reference the basic data of human body modeling size, according to the relative position of human body and transmission line and the actual height of transmission line, establish the space area for calculating the electric field distribution of human body;C, region division, according to the influence of finite element region boundary condition by the presence or absence of human body, select appropriate calculation area, analyze the internal and surface field intensity distribution of human body under UHV DC transmission line.The present application can provide technical reference for electromagnetic protection of the people who move under UHV DC transmission line.

The invention discloses a lens protection device and a protection method thereof, and relates to the technical field of lens protection, and the device comprises an electrostatic protection lens assembly which comprises a transparent conductive layer located on the outer surface of lens protection glass; the dust polarity detection part is used for detecting charge polarity and charge density of dust in the environment; the high-voltage electrostatic generation part is used for applying high-voltage potential to the transparent conductive layer; the controller is used for controlling the high-voltage electrostatic generation part to apply potential with the same polarity as dust charges to the transparent conductive layer so as to form an electrostatic repulsion field in a space in front of the lens; and according to the charge polarity and the charge density of the dust and the image quality output by the imaging sensor, the voltage amplitude output by the high-voltage electrostatic generation component is adjusted. Therefore, an electrostatic repulsion field adaptive to dust polarity and pollution degree is formed in front of the lens by using the physical principle that like charges repel each other, active dust adsorption rejection is realized, the imaging quality is improved, and the maintenance period is prolonged.

The invention discloses a tail gas absorption device and method for asphalt processing, and belongs to the technical field of tail gas treatment.The method comprises the steps that real-time working condition parameters of asphalt tail gas are obtained; obtaining target dynamic surface tension and target charge density based on the working condition parameters; based on the target value, the surfactant addition amount and the electrostatic ring working voltage are obtained; preparing spraying liquid, applying voltage, and measuring actual dynamic surface tension and actual charge density in real time; spraying the spraying liquid into an absorption tower for absorption, and obtaining theoretical absorption efficiency based on actual parameters; and comparing the theoretical absorption efficiency with the target absorption efficiency, if the theoretical absorption efficiency is smaller than the target value, adjusting the addition amount and / or the voltage and returning to the previous step, otherwise, maintaining the current parameter operation. Through cooperative regulation and control of dynamic surface tension and charge density and introduction of a closed-loop feedback mechanism, efficient and stable absorption of asphalt tail gas is achieved, and the problems that in the prior art, absorption efficiency fluctuation is large, and it is difficult to adapt to working condition changes are solved.

The present application relates to the field of oil and gas exploitation, and in particular, to a method for obtaining electrochemical properties in the process of oil and gas exploitation, comprising: constructing a chemical reaction network between shale and external fluid; constructing a surface complexation model and a diffusion double layer model, setting initial values of thermodynamic equilibrium constant and initial values of charge density of shale; obtaining theoretical values of Zeta potential through the surface complexation model and the diffusion double layer model; when the theoretical values of Zeta potential and actual values of Zeta potential meet the convergence condition, obtaining electrochemical properties of shale after contacting with external fluid; wherein the actual values of Zeta potential are measured through laboratory experiments. The theoretical values of Zeta potential obtained by the above method are relatively accurate, and multiple electrochemical properties of shale after contacting with external fluid can be efficiently and conveniently obtained based on the theoretical values of Zeta potential, which provides analysis data and scientific guidance for subsequent efficient development of shale oil reservoirs.