21 results about "Particle mass" patented technology

The invention relates to the technical field of particulate matter source analysis, and discloses a refined source analysis method and system.The method comprises the steps that a plurality of pollution sources and dust falling particulate matter sampling points are determined according to soil pollution distribution of a target area and an atmospheric pollution source survey result, by collecting single particle mass spectrum data of pollution sources, sampling points and receptors, constructing a mass spectrum library and combining an ART-2a algorithm and a deep learning model, the heavy metal pollution contribution proportion is accurately analyzed and traced to specific discharge ports of enterprises, and the problem that specific pollution enterprises and working sections cannot be positioned in the prior art is solved. According to the method, a pollution source and an environment receptor are sampled and analyzed by utilizing a single-particle mass spectrometry technology aiming at atmospheric dust fall particles in soil, and the heavy metal in the atmospheric dust fall particles in the soil is finely traced to specific enterprises and working sections by analyzing the heavy metal, so that a fine technical support is provided for soil heavy metal pollution management and control.

Inventive techniques for forming unique compositions of matter are disclosed, as well as associated physical characteristics and properties of the materials. In particular, particles comprising a metal lattice are characterized by having carbon (preferably graphene) disposed within the crystalline lattice structure thereof. The carbon is at least partially disposed in interstitial sites of the metal lattice, and may be present in amounts ranging from about 15 wt % to about 90 wt % of the total particle mass, with about 15 wt % to about 60 wt % being disposed in the interstitial sites, e.g., between basal planes, of the metal lattice. The carbon, moreover, is substantially homogeneously dispersed throughout the resultant material, conveying unique and advantageous properties such as strength-to-weight ratio, density, mechanical toughness, sheer strength, flex strength, hardness, anti-corrosiveness, electrical and / or thermal conductivity, etc. as described herein. In some approaches, the graphene is pristine, and has corresponding physical characteristics as described herein.

The present application relates to high-speed railway subgrade construction quality detection technical field, disclose a kind of railway subgrade filler grading identification method and system based on airborne unmanned vision perception, comprising: through the image of filler field collected by airborne unmanned aerial vehicle, carry out gray conversion, size reduction etc. in turn pretreatment;Adopt Otsu's method to carry out self-adapting binaryzation, exert morphological open operation, erosion, the sequence operation of inflation, to accurately segment and optimize filler particle profile;Profile is extracted using Canny algorithm, with the long diagonal line of particle circumscribed rectangle as equivalent particle diameter;Introduce shape correction factor to correct the error of sphere volume hypothesis, calculate particle mass based on the preset filler density-particle size relationship model;Finally, statistical generation grading curve.The present application realizes the automatic, fast, non-contact identification of railway subgrade filler grading, improves detection efficiency and accuracy, and provides technical support for intelligent quality control of subgrade construction.

The invention discloses a heat exchange surface particle deposition dynamic visualization simulation analysis method, and belongs to the field of heat exchange surface particle deposition simulation.The method comprises the steps that meshing is conducted on a heat exchange surface cold surface physical model, and a sedimentable area is determined; based on the simulated working condition, setting inlet particulate matter mass concentration and environmental parameters of the flow field area; setting a simulation time length, and in each time step, carrying out the following operations: calculating a local flow field parameter based on a control equation, and outputting a particle deposition rate and a particle denudation rate; obtaining a particle net deposition rate according to the particle deposition rate and the particle denudation rate; determining a volume source item according to the particle net deposition rate; and updating the dirt layer parameter, the flow field parameter, the sedimentable area and the compact deposition area according to the volume source item. The problem that an existing method cannot truly reflect the dynamic influence of the deposition layer on the airflow flowing characteristics is solved.

The present application relates to the technical field of reactors, and particularly relates to a calculation method of corrosion product deposition rate of a pressurized water reactor. The calculation method of corrosion product deposition rate of the pressurized water reactor comprises the following steps: obtaining the concentration distribution and Zeta potential distribution of metal ions related to corrosion products; obtaining the electric field force on the particle state corrosion products based on the Zeta potential distribution; tracking the transport trajectory of the particle state corrosion products by using a discrete phase model, wherein the force on the particles in the transport process comprises the electric field force; calculating the particle mass flow rate according to the discrete phase model; and calculating the deposition rate and erosion rate of the particle state corrosion products on the wall surface according to the particle mass flow rate. The present application can be used to solve the problem that the current calculation model cannot accurately predict the CRUD deposition rate, and can improve the authenticity of CRUD growth prediction and the reliability of reactor safety analysis.

The purpose of the present invention is to provide porous resin beads for suppressing an increase in back pressure in a reaction vessel during a step for synthesizing a nucleic acid and for stably producing the nucleic acid without a liquid feeding defect. Said problem is solved by a porous polymer bead aggregate including a styrene-based copolymer, the porous polymer bead aggregate being characterized in that: (a) the porous polymer bead aggregate includes particles having a particle diameter of 20-50 μm in a particle frequency range of no more than 10% in accordance with a number standard in an image analysis method; and (b) in a particle mass configured from porous polymer beads having a particle diameter of at least 20 μm in the porous polymer bead aggregate, the median value of the particle diameter is 50-140 μm and the coefficient of variation (CV value) of the particle diameter is no more than 30%.

A method for purifying particles generates charged particles from a sample, measures at least one of mass, charge magnitude, and mobility of the generated charged particles, and selectively passes each of the measured charged particles having at least one of: (a) a measured mass equal to a selected mass or within a selected range of particle masses, (b) a measured charge magnitude equal to a selected charge magnitude or within a selected range of charge magnitudes, (c) a mass-to-charge ratio equal to a selected mass-to-charge ratio or within a selected range of mass-to-charge ratios, and (d) a measured mobility equal to a selected mobility or within a selected range of mobilities, to a particle collection target. In some embodiments, the collected particles can be harvested and expanded.

The invention relates to the technical field of reactors, in particular to a method for calculating the deposition rate of a pressurized water reactor corrosion product. The method for calculating the deposition rate of the corrosion product of the pressurized water reactor comprises the following steps: acquiring concentration distribution and Zeta potential distribution of metal ions related to the corrosion product; acquiring an electric field force applied to the particulate corrosion product based on the Zeta potential distribution; a discrete phase model is adopted to track the transportation track of the particle-state corrosion product, and the force borne by particles in the transportation process comprises the electric field force; according to the discrete phase model, calculating to obtain a particle mass flow rate; and according to the particle mass flow rate, the deposition rate and the erosion rate of the particle-state corrosion product on the wall surface are calculated. The method can be used for relieving the problem that a current calculation model cannot accurately predict the CRUD deposition rate, and the authenticity of CRUD growth prediction and the credibility of reactor safety analysis can be improved.

The invention relates to the technical field of optical clock metering instruments, in particular to a microscopic particle mass measurement method and system based on an optical lattice clock, and the method comprises the steps: forming a one-dimensional horizontal shallow light lattice to constrain a to-be-measured microscopic particle based on an optical lattice clock platform; firstly, to-be-measured particles are subjected to laser cooling and then loaded to optical lattices, and the to-be-measured particles are prepared to a ground state single Zeeman sub-energy level through optical pumping. Then, modulating a beam of lattice light in the one-dimensional horizontal shallow light lattice to enable the lattice light to periodically shake; then, determining the line widths of clock transition spectral lines of the particles to be measured under different modulation amplitudes, and finding out the critical modulation amplitude corresponding to the minimum line width; and finally, according to the critical modulation amplitude and the lattice light wavelength, accurately deducing the absolute mass of the microscopic particles imprisoned by the light lattice.

The present application relates to the technical field of erosion prediction and equipment health assessment of polysilicon cold hydrogenation device, and discloses a kind of based on mechanism and data fusion's silicon-based new material cold hydrogenation reactor conveying elbow pipe's erosion rate prediction method, obtains elbow pipe inner diameter, curvature ratio, bending angle, particle mass flow rate, particle size and particle velocity, establishes parameterized elbow pipe geometric model, and based on verified gas-solid two-phase flow erosion numerical model, the wall surface erosion rate under sample working condition is calculated, and the maximum erosion rate is extracted to construct LHS-CFD sample database;Erosion rate prediction model consisting of mechanism trend term and Gaussian process residual term is constructed;After inputting target working condition parameters into the trained model, the maximum erosion rate prediction value, prediction variance and prediction interval are output.The present application combines high-fidelity numerical samples with mechanism-constrained proxy modeling, which can reduce the cost of repeated CFD calculation for new working conditions, improve the efficiency of multi-condition erosion rate rapid assessment, parameter screening and high erosion condition identification.

The invention provides a coke powder proportion determination method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a coke image of a loading region, carrying out the image segmentation of the coke image, obtaining a coke powder region and a coke particle region, determining the particle fractal dimension and the particle area of each particle based on the coke particle region, and determining the proportion of the coke powder according to the particle fractal dimension. The particle fractal dimension and the particle area of each particle are fitted to obtain the particle total volume, the powder fractal dimension and the powder area are determined based on the coke powder area, and the powder fractal dimension and the powder area are fitted to obtain the powder total volume. The total particle mass is obtained according to the total particle volume and the preset particle density, the total powder mass is obtained according to the total powder volume and the preset powder density, and the coke powder proportion is determined according to the ratio of the total particle mass to the total powder mass, so that the technical problem of inaccurate manual identification of the coke powder proportion is solved.

The application aims to provide an experimental device and experimental method for nuclear accident aerosol simulation deposition wall preparation, comprising an air compressor, an air storage tank, a drying tank, a flow meter, an aerosol generator, a transition section, a deposition experiment section, a control experiment section and a post-processing water tank; the air compressor, the air storage tank, the drying tank, the flow meter, the aerosol generator and the transition section are sequentially connected; the transition section is respectively connected with the post-processing water tank, the deposition experiment section and the control experiment section; and the outlets of the deposition experiment section and the control experiment section are respectively connected with the post-processing water tank. The deposition quality distribution of the prepared deposition wall can be measured and characterized, the uniformity of the distributed aerosol is considered in the loop design, and the deposition wall with relatively uniform particle mass distribution can be prepared.

This invention belongs to the field of functional materials technology and discloses a rare-earth iron-boron bonded magnet and its preparation method. The method includes: mixing anisotropic rare-earth iron-boron magnetic powder particles with multiple sharp edges with a binder solution, followed by densification and crushing / shaping to obtain a highly rounded surface magnetic particle material with a rounded surface rare-earth iron-boron magnetic particle mass percentage ≥30% of all magnetic particles; loading the highly rounded surface magnetic particle material into a mold, then subjecting it to magnetic field orientation and pressure molding under a constant-temperature rapid-changing magnetic field; and finally, demolding and curing. The magnet prepared by this method can achieve a magnetic energy product ≥21 MGOe and a density ≥6.4 g / cm³. 3 It has high performance and high density, and can realize the isothermal short-time, medium-heating, low-heating and room temperature of high performance and high density magnet forming process. Therefore, the preparation efficiency of high performance and high density magnet is high and the process is simple and convenient. At the same time, the magnet also has a high content of rounded magnetic particles, which is beneficial to improving the temperature resistance and mechanical properties of the magnet.

The invention provides a method for detecting the coal content of a medium drainage screen based on binocular vision and dual-energy X-ray fusion, and relates to the technical field of visual detection, and the method comprises the following steps: synchronously collecting a binocular visible light image pair and a dual-energy X-ray image of a target material on the medium drainage screen; calculating and generating particle volume distribution, particle equivalent thickness distribution and particle surface feature distribution based on the binocular visible light image pair; based on the dual-energy X-ray image, the particle volume distribution and the particle equivalent thickness distribution, calculating the surface density and the equivalent density of each material particle, and generating particle material feature distribution and particle mass distribution; identifying each material particle in the target material by using a coal probability identification engine, and outputting predicted coal probability distribution; and calculating to obtain the total coal content of the target material, and evaluating the detection credibility to obtain a coal content detection result of the sculpting screen. The technical problems that in the prior art, the detection precision of the coal content of the medium drainage screen is low and is greatly influenced by working condition factors are solved.

The present application relates to the technical field of water quality monitoring, and discloses a suspended matter single-particle mass spectrometry coupled machine learning groundwater pollution tracing method and device, electronic equipment and storage medium, wherein the groundwater pollution tracing method comprises the following steps: collecting source samples of potential pollution sources and receptor samples of contaminated areas, obtaining particle mass spectrum information by using single-particle mass spectrometry detection technology, constructing a pollution source mass spectrum fingerprint library containing a source attribution subset, each subset being determined by a general mass spectrum category and a potential pollution source, and storing average mass spectrum characteristics; determining the composition of the pollution source according to the matching of the mass spectrum information of the receptor sample particles and the fingerprint library, and verifying and correcting in combination with hydrogeological conditions. The method can accurately identify the source differences of particulate pollutants by characterizing the chemical characteristics of suspended particulate matter through high-resolution mass spectrometry, effectively solves the limitations that traditional methods cannot distinguish when multiple pollution sources coexist, and improves the accuracy of groundwater pollution tracing.

This invention relates to a method for determining particle stress during the collapse process of an underwater two-component particle mass, including the calculation of the collision pressure, friction pressure, collision shear stress, and friction shear stress of the i-th particle component, in order to obtain the i-th particle component. i The pressure and shear stress of each particle component are used to determine the collision and friction pressures during the collapse of the two-component particles. This invention considers the dilatation and shear contraction effects and the influence of interstitial water, reflecting the different levels of resistance from water during the movement of different particle components. By considering the anisotropy between and within each component, as well as the influence of interstitial water, the prediction of the underwater collapse morphology of two-component particles is more accurate. By integrating inter-component particle interactions, anisotropic collisions, and dilatation and shear contraction friction, the invention reflects the particle separation phenomenon of small particles sinking and large particles floating during particle collapse.

The present application relates to the technical field of carbon material detection, and discloses a kind of carbon particle quality ratio detection method and system based on machine vision, comprising: collecting the particle image of carbon particle in dispersed state;Extract the particle contour of carbon particle to obtain binary foreground image;The particle center point is detected to binary foreground image by distance transformation;Based on vector angle method, concave point is detected;Skeleton extraction is carried out to binary foreground image to construct skeleton graph;The skeleton anchor point is determined by mapping particle center point to skeleton graph;The shortest path length between any two skeleton anchor points is calculated;Minimum spanning tree is generated;Each edge of minimum spanning tree is regarded as the topological connection line between particles, and effective segmentation line is screened based on topological connection line and detected concave point;Based on effective segmentation line, the single particle contour is obtained by segmenting adherent particles;The particle mass is calculated based on single particle contour, and the mass ratio is calculated.The present application can effectively overcome the influence of carbon particle black and other factors on segmentation accuracy.

This invention belongs to the field of oil pollutant concentration monitoring technology and discloses an online measurement method and system for the mass concentration of mixed particles based on multi-angle light scattering. The method includes: calculating the standard residuals of the mass concentrations of n types of particulate matter based on a mass sensitivity matrix calibrated at l detection angles; selecting n angle detection groups based on the principle of minimum comprehensive residuals; passing oil carrying n types of mixed particles through the measurement area of ​​an optical measurement system; collecting the scattered light signals of the mixed particles at n detection angles according to the n multi-angle detection groups; correcting the signals using a reference light module; combining the corrected values ​​of the scattered light signals at the n angles with the calibrated mass sensitivity matrix to calculate the mass concentration of each component of the mixed particles, thereby obtaining the mass concentration of a major category of particles in the oil. This invention achieves simultaneous online measurement of the mass concentrations of various types of particles in mixed particles, exhibiting good feasibility and stability.

This invention discloses an experimental apparatus and method for the migration of corrosion products in a strong magnetic field environment. The apparatus includes a superconducting magnet, a water tank, a buffer section, a water pump, a gate valve, a heat transfer tube experimental section, measuring instruments, and auxiliary equipment. Under pressure, temperature, and magnetic field strength designed based on fusion reactor operating conditions, high-purity deionized water and Fe3O4 particles are circulated in the experimental loop for 24 hours. The difference in particle mass before and after the experiment is measured, and the particle deposition at different heat transfer tube sections is compared to analyze the influence of the strong magnetic field environment on the migration behavior of metal corrosion particles in a multi-bend heat transfer section. This invention, targeting the operating environment and strong magnetic field characteristics of fusion reactors, conducts corrosion particle migration experiments in multi-bend heat transfer sections. Locations with a high concentration of corrosion particles within the heat transfer tube indicate that the deposition of corrosion products in that section needs to be carefully monitored in actual engineering applications, especially regarding radiation dose rate, material loss, and corrosion status.

The present application belongs to the technical field of particulate matter mass measurement, and particularly relates to a particulate matter mass measurement device and method based on a hammer-shaped tuning fork resonant frequency, comprising a detection module, an excitation module and a signal acquisition and processing module, the detection module comprising a tuning fork sensor, the tuning fork sensor comprising an air chamber, a hammer-shaped tuning fork being sealingly arranged in the air chamber, a hammer-shaped mass block being arranged at the top of the vibration arm of the hammer-shaped tuning fork, and a micron-level recess being formed at the top of the hammer-shaped mass block, the present application optimizes the hammer-shaped structure of the tuning fork, not only fixes the load position, but also amplifies the frequency offset signal by increasing the effective mass at the end, significantly improves the sensitivity, anti-interference ability and measurement stability of the micro particulate matter mass detection, and provides a high-precision real-time detection solution for atmospheric environment monitoring and industrial dust measurement.