80 results about "Particle density" patented technology

The invention discloses an aggregate random distribution concrete PFC (Power Factor Correction) simulation method, which comprises the following steps: a model selection step: determining a parallel bonding model as a mechanical model for concrete material simulation; a cement mortar matrix generation step of generating a cement mortar matrix by using particles in a set size range in a set space range based on the model, and setting pore density, particle density and contact model parameters; a coarse aggregate random distribution simulation step: randomly covering and grouping original particles in the matrix in a grouping and range mode; a concrete numerical model construction step: determining particle classification so as to distinguish cement mortar and coarse aggregate; and a model reliability verification step: comparing indoor test results through a uniaxial compression test. According to the method, the simulation accuracy is improved, the randomness of aggregate is reduced, the model reliability is ensured, the matrix simulation refinement degree is improved, and a method is provided for concrete modeling and performance research.

The invention relates to power load prediction, in particular to a dynamic hierarchical granularity model power load prediction method considering time sequence factors. According to the method, the fitting capability of periodic features, trend changes and sudden influences in load fluctuation is remarkably enhanced, and the problem of feature loss caused by neglect of a time sequence dynamic weight of an existing model can be solved. Comprising the following steps: S1, performing time sequence characteristic analysis on historical power load data, and converting an original non-stationary time sequence into a stationary time sequence through difference and logarithm transformation; s2, obtaining a cleaned power load data set; s3, based on the data cleaned in S2, selecting a Gaussian radial basis function (RBF) as a kernel function, and analyzing temperature, holiday identification and linear change trend key influence factors at the same time; s4, performing dynamic multi-level granulation on the data set, and dynamically adjusting the particle level according to the data mixing degree and the particle density; and S5, fusing the time sequence kernel function and the influence factor through a decision function, and predicting the future power load.

The application discloses a kind of based on transparent soil and pile-soil interface micro evolution measurement method of multi-source sensing, it is related to geotechnical engineering test field.The present application includes the following steps: constructing transparent soil model, pile body pre-embedded sensor arrangement, multi-source sensor calibration and parameter optimization, load application and multi-source data acquisition, improved DIC algorithm's pile-soil interface micro displacement calculation, pile-soil interface pore and particle density calculation, multi-source sensing data's heterogeneous fusion, pile-soil interface micro evolution characteristic quantitative inversion and visualization, test end and data verification.The present application simulates real soil environment by constructing transparent soil model, in combination with image recognition, digital image correlation, fiber-optic sensing and resistance sensor and other multi-source sensing technology, the micro deformation, stress distribution and failure evolution process of pile-soil interface in loading process are monitored and analyzed in real time with high precision, realize the high-precision, full-process, visual measurement of pile-soil interface micro evolution, improve measurement precision.

The invention discloses a thickener dosing control method and system, and relates to mineral processing. The method comprises the following steps: acquiring concentration values measured by an ith concentration sensor at different depths at a moment t; obtaining the turbidity T of the overflow water, the effective viscosity of the overflow water or underflow, the volume fraction of fine particles and the volume fraction of coarse particles in the overflow water, the Zeta potential of the feeding end, the Zeta potential of the overflow end, the time derivative of the Zeta potential of the overflow end, the equivalent diameter d of the particles, the density of the particles, the density of the fluid and the viscosity of the fluid; calculating the effective settling velocity of the particle swarm; carrying out online correction on the effective settling velocity by utilizing a least square method or a Kalman filtering algorithm; performing time lag correction on the concentration values at different depths by using the corrected effective settling velocity; correcting the turbidity T of the overflow water according to the corrected concentration profile; respectively calculating a flocculant dosing rate and a coagulant dosing rate; according to the invention, accurate cooperative control of the dosing rate of the flocculating agent and the coagulant is improved through the artificial intelligence model.

The invention relates to the technical field of intelligent sampling, in particular to an unmanned aerial vehicle water sediment intelligent sampling method and system based on rotational flow sorting, and the method comprises the following steps: collecting disturbance trajectory and rotational flow data, identifying a stable inlet, screening an alignment interval, executing screen mesh alignment, and generating a sampling record. According to the method, stable section calibration is formed by superposing wind speed direction fluctuation and rectifying plate track change, the screening range is locked to an alignment interval in combination with multi-parameter mapping of the rotating speed and the particle density, and the sediment movement state is captured in a layered mode in a deposition layer through a screen; a whole-process sampling sequence is constructed by a collaborative time sequence of rectification action and screen operation, so that real water disturbance characteristics can be dynamically extracted, sediment movement rules can be matched, the sampling trigger response accuracy is improved, and the screening alignment precision under multi-factor coupling is enhanced; the target section is accurately captured under the interlaced interference of the airflow disturbance and the particle settling process, and the particle layered structure is stably kept.

There is provided a pharmaceutical dosage form that is suitable for peroral administration to the gastrointestinal tract, which dosage form comprises a pharmaceutical composition in the form of a particulate mixture comprising solid particles of N-butyloxycarbonyl-3-(4-imidazol-1-ylmethylphenyl)-5-iso-butylthiophene-2-sulfonamide (C21), or a pharmaceutically-acceptable salt thereof, admixed with a blend of carrier particles with weight- and / or a volume-based mean diameter, and / or a structural / particle density, that is / are similar to the weight- and / or volume-based mean diameter, and / or the structural / particle density, of the solid particles of C21, and a glidant, which composition is contained within a capsule that is suitable for such peroral administration. Preferred carrier particles have a weight- and / or a volume-based mean diameter that is less than about 100 μm. Preferred carrier particle materials include mannitol. Preferred glidants comprise colloidal silica. Such dosage forms find utility in the treatment of lung diseases, such as idiopathic pulmonary fibrosis, sarcoidosis and respiratory virus-induced tissue damage.

The present invention relates to a device (1) for reducing a particle density of a sample of a suspension of particles in a liquid, the device comprising a measurement flow path (13) for characterizing the sample of the suspension, wherein the device (1) is configured to withdraw a sample of the suspension residing in a main vessel (100), and to dilute the sample, particularly when a measure indicative of the particle density in the sample is above a pre-defined threshold.

The invention relates to a device (1) and a method for extracting fine particles (1.1.2) from a material stream (1.1), wherein the material stream (1.1) comprises a mixture of product particles (1.1.1) and fine particles (1.1.2) and wherein the fine particles (1.1.2) differ in weight and / or particle size and / or particle density from the product particles (1.1.1), comprising a suction device (1.4) having a suction duct (1.4.3) for suctioning off sub-particles (1.1.3) from the material stream (1.1) by way of a closed-loop-controllable air stream (1.4.2) in the suction duct (1.4.3) and a closed-loop control device (1.7) for closed-loop control of the suction device (1.4), wherein the suctioned-off sub-particles (1.1.3) are measurable by the closed-loop control device (1.7) using an acceleration sensor (1.7.1) connected to the closed-loop control device (1.7) and the suction device (1.4) is closed-loop-controllable using the closed-loop control device (1.7) in such a way that the suctioned-off sub-particles (1.1.3) comprise a definable suction mixture of product particles (1.1.1) and fine particles (1.1.2).

The application provides a method for determining the type of defects in a single crystal silicon wafer, comprising the following steps: measuring the particles in the As-Grown state silicon wafer by LST to obtain a first measurement result, and determining a V-rich region according to the first measurement result and a first preset density value; and performing heat treatment on the silicon wafer, and again measuring the particles in the silicon wafer by LST to obtain a second measurement result, and determining a Pv region, an I-rich region and a Pi region according to the second measurement result, a second preset density value and a third preset density value, so as to accurately and effectively distinguish the four region types of the V-rich region, the Pv region, the Pi region and the I-rich region in the single crystal silicon wafer by using the particle density, the test result is obviously distinguished, the test stability is high and the repeatability is high, and the requirement of the defect partition type on the silicon wafer is reduced.

The invention discloses a debris flow surface SPH particle adaptive processing method and a debris flow real-time simulation method. The invention provides a debris flow surface SPH particle adaptive processing method for overcoming the defect that surface particles are easily misjudged in the prior art. A particle density dynamic threshold is used as a surface particle identification standard, and the optimized dynamic threshold dynamically balances and controls debris flow characteristics to make a judgment contribution to the surface particles by using a real-time velocity gradient, a density gradient and a weight. Neighborhood virtual particles are randomly generated around the mass center of the surface particles to support kernel calculation, and the density and speed attributes of the virtual particles are limited. The debris flow real-time simulation method is realized by utilizing a self-adaptive processing technology. According to the optimization scheme, SPH-DEM coupling is adopted, heterogeneous units form a unified SPH framework, hydrodynamic force is calculated through an SPH method, contact force is calculated through a DEM method, and bidirectional coupling force calculation is completed. An SPH method is realized by adopting a Niagara particle system, and a digital twinborn platform foundation of numerical simulation and visual integrated simulation is constructed.

The invention discloses an optimization method for an electroosmosis drying model of a composite adsorption regenerated material. The optimization method comprises the following steps: acquiring parameters such as electric field intensity, electrokinetic potential, composite material type and proportion, composite material granularity and particle size, composite material particle density and composite material porosity; establishing an initial electroosmosis drying model of the composite adsorption regenerated material according to the parameters; performing a multi-factor coupling simulation test on the initial electroosmosis drying model to obtain a simulation data set containing an electroosmosis flow rate; and comparing the electroosmotic flow rate in the simulation data set with a preset performance standard, and performing iterative optimization on the initial electroosmotic drying model based on a comparison result to obtain an optimized drying model. Core parameters are efficiently screened through sensitivity analysis, rapid iterative optimization of the model is achieved, the output instructive parameters can provide a reliable basis for material selection and design of an electroosmosis dehumidification device, and the performance and practicability of an electroosmosis drying system are guaranteed.

The invention relates to the technical field of water conservancy projects, and particularly discloses a method for calculating the void scale caused by soil loss under a pump station bottom plate and electronic equipment, and the method comprises the steps: determining the maximum water head difference of two sides of a pump station, the soil particle density and the total length of the pump station bottom plate, and estimating the diameter of a gap channel; and carrying out stress analysis on the microcosmic soil particle units on the side wall of the gap channel, wherein the stress comprises effective gravity, drag force, seepage force, lifting force, cohesive force, supporting force, sliding friction force and rolling friction moment. According to the method for calculating the void scale caused by soil loss under the pump station bottom plate, a particle kinetic method is introduced, gap channel water flow under the bottom plate is regarded as pressure pipe flow, particle stress analysis, a sliding / rolling instability mode and a Kolbolok-White formula of a turbulent flow hydraulic transition area are comprehensively considered, and the void scale caused by soil loss under the pump station bottom plate is calculated. The length of the void development channel can be quickly calculated based on engineering parameters, and the void position and the risk range can be determined.

The invention discloses a laser diameter measuring instrument lens self-cleaning device and method based on multi-mode cooperation, and belongs to the technical field of cigarette manufacturing. The device comprises a pollution sensing unit for acquiring the pollution area P, the oiliness index Q and the particle density G of the surface of the lens; the annular ion air curtain unit is used for generating ion airflow flowing by being attached to the surface of the lens; the piezoelectric ultrasonic unit transmits high-frequency vibration to the surface of the lens; the ultraviolet laser unit is used for emitting pulse type ultraviolet laser; and the controller is electrically connected with each unit. The method comprises the following steps: acquiring pollution characteristic parameters in real time; determining a pollution level; generating a time sequence control instruction; and all the cleaning units are cooperatively controlled to work. According to the invention, self-adaptive, non-contact, non-stop and efficient cleaning of composite pollutants such as tobacco dust, tar and sugar is realized, the real-time cleaning requirement of a high-speed production line is met, and the measurement precision and the operation stability are guaranteed.

Embodiments of the present application provide a wafer evaluation method, device and readable storage medium, comprising: acquiring a wafer image; dividing a plurality of regions in the wafer image; determining a plurality of region groups in the plurality of regions according to two adjacent regions as a group; calculating a particle density ratio of two regions in the region group; and determining a wafer corresponding to the wafer image as an abnormal product in a case that the calculated particle density ratio is greater than a preset threshold.

The utility model provides a kind of forming device of adjustable color master batch particle density, belong to plastic processing technical field, to solve the forming device of existing adjustable color master batch particle density, easy to wear when rotating, gear is easy to break and difficult to detect in time and the problem of vibration deviation and exacerbate wear without timely lubrication. Including double-screw extruder, driving mechanism, machine cylinder, feed hopper, drive screw, oil bottle, piston cylinder, monitoring frame, maintenance assembly and monitoring assembly, the drive screw is provided with two groups, two groups the drive screw is installed in machine cylinder interior;The oil bottle is fixedly installed on the upper portion of double-screw extruder;The piston cylinder is fixedly installed in double-screw extruder interior;The monitoring frame is provided with two groups, two groups the monitoring frame is fixedly installed in machine cylinder one end;The maintenance assembly is arranged in double-screw extruder interior;The monitoring assembly is arranged in machine cylinder one end.The utility model has the advantages of convenient maintenance, convenient to use, deviation monitoring etc..

The present invention provides a method for determining the type of defects in a monocrystalline silicon wafer, which includes the steps of: using LST to measure particles in an as-grown silicon wafer and thereby obtaining a first measurement, and determining a V-rich region based on the first measurement and a first preset density value; and subjecting the silicon wafer to a thermal treatment, again using LST to measure particles in the silicon wafer and thereby obtaining a second measurement, and determining a Pv region, an I-rich region and a Pi region based on the second measurement, a second preset density value and a third preset density value. As a result, a particle density can be utilized as a basis for accurately and efficiently determining a region of interest of a monocrystalline silicon wafer as one of a V-rich region, a Pv region, a Pi region and an I-rich region.

The present application relates to the technical field of aerospace target characteristic analysis, and particularly relates to a high-altitude multi-particle-size particle field radiation rapid analysis method, device, equipment and medium. The method comprises the following steps: S1, determining the initial multi-particle-size number density of the outlet section based on the engine outlet parameters and the particle size distribution model; S2, determining the total particle density of the external flow field based on the law of conservation of mass, then determining the multi-particle-size number density at each position, and calculating the temperature attenuation caused by the radiation heat dissipation of particles of different particle sizes respectively to obtain the temperature field; S3, analyzing and determining the infrared radiation characteristics of the high-altitude plume based on the obtained number density and temperature distribution. The present application introduces the particle size distribution model and differentiates the temperature evolution, improves the analysis accuracy, replaces the complex CFD simulation with the analytical / semi-analytical model based on the physical law, greatly improves the calculation efficiency, and is suitable for the rapid evaluation and scheme iteration of the infrared characteristics of the high-altitude plume in engineering.

The application discloses a device and method for measuring partial pressure of mixed gas in ultra-high vacuum based on cold atom technology. The application is based on the theory that the regularity attenuation of the cold atoms trapped in the potential well caused by the particle collision of the background gas can be used to reverse the density of the gas particles, and the characteristics that the velocity thermal average collision cross section of different gas particles and cold atoms has a certain and independent change trend with the depth of the potential well. A multivariate linear regression equation set of total collision loss rate about mixed gas density under different well depth conditions is constructed to analyze the change of the total loss rate of the cold atom group under different well depth conditions, so that the type and density of each component in the mixed gas are separated, and the partial pressure of each component is determined. The method avoids the measurement uncertainty caused by the effects brought by the ionization process of the traditional mass spectrometer, and has the advantages of no calibration, no disturbance to the measurement environment, high accuracy, reproducibility at different times and different places and the like based on the basic physical characteristics of the cold atoms.

- 33 - Abstract Lightweight concrete mixture comprising a biocarbon fine lightweight aggregate, the biocarbon fine lightweight aggregate having particle sizes in the range of 0 to 4 mm, preferably 0 to 2 mm, a particle size distribution with D50 5 in the range of 0.010 to 1.00 mm, preferably 0.012 to 0.60 mm, further preferred 0.015 to 0.08 mm, a particle density in the range of 0.20-1.80 g / cm³, preferably 0.40-0.60 g / cm³ and a random reflectance of at least 1.3 %, preferably at least 1.5 %, further preferred at least 1.8%, most preferred at least 2 %. 10 Fig. 1

The invention relates to a method for determining the concentration of a substance in a sample comprising a liquid comprising particles, in particular glucose in blood, in which the refractive index of the liquid depends on the concentration of the substance dissolved therein and the particle density in the liquid is substantially constant. The method includes obtaining a PPG first signal during a first time period and estimating a set of complex coefficients from the first obtained signal. The phase difference is determined from these coefficients or a subset thereof and then used to derive a substance concentration or a change in substance concentration.

The application discloses a kind of biomass fuel remote production monitoring method and system, including extracting the first seed feature of coarse particle area and the second seed feature of fine particle area from standard image;Collect the fuel particle image after being finely broken by pulverizer on biomass fuel production line and carry out gray scale processing, obtain first detection image;First seed feature and second seed feature are used to carry out region growth on first detection image respectively, obtain coarse particle area and fine particle area in first detection image, eliminate from first detection image to obtain second detection image;The particle density distribution characteristics of second detection image are calculated, and the coarse particle area and fine particle area of second detection image are divided;Integrate the coarse particle area in first detection image and second detection image, obtain the target coarse particle fuel to be finely broken.The application realizes efficient and accurate monitoring and classification to biomass fuel granularity, and significantly improves production efficiency and finished product quality.

The invention discloses an organic fluorine wastewater treatment method and system based on multi-modal simulation. The method comprises the following steps: analyzing a wastewater sample to obtain suspended particle density distribution and dissolved state concentration indexes; the natural aggregation tendency is evaluated, and if natural effective separation cannot be achieved, the dynamic process that particles aggregate to form a separable structure under external intervention is simulated; iteratively optimizing the simulation parameters to obtain an optimized aggregation condition parameter set; predicting the form and stability of a separable structure, matching and simulating a physical separation mode, and identifying a wastewater characteristic region with a poor expected separation effect; and finally, aiming at the region, adjusting aggregation parameters to generate an enhancement scheme, evaluating the conversion efficiency and outputting verified aggregation processing scheme parameters. According to the method, virtual simulation and intelligent optimization are utilized, the pollutant aggregation behavior is accurately regulated and controlled, the whole-process collaborative design from microcosmic aggregation to macroscopic separation is realized, and the process development efficiency and the treatment effect stability are improved.

Provided is a silica that exhibits a high matting property when utilized as a matting agent for a paint, and can also suppress the occurrence of cloudiness. The silica has an aggregated structure in which primary particles are aggregated, has a particle diameter ratio R represented by the following equation (1) of from 4.3 to 5.2, has an absorbance of 0.6 or less for light having a wavelength of 700 nm as an aqueous dispersion having a concentration of 1.48 mass %, and has a particle density measured with a He pycnometer of 2.18 g / cm3 or more: Equation (1) R=LD50 / CD50 (in the equation (1), LD50 represents a volume-based 50% cumulative particle diameter (μm) of the silica measured based on a laser diffraction / scattering method, and CD50 represents a volume-based 50% cumulative particle diameter (μm) of the silica measured based on a Coulter counter method).

The invention provides an automatic kitchen waste treatment method based on multistage heat exchange, which comprises the following steps: acquiring solid-phase particle density distribution of a kitchen waste input flow, recording a particle settling velocity fluctuation value, and predicting solid-phase content change based on the solid-phase particle density distribution and the particle settling velocity fluctuation value; according to the distribution state of the pressure difference in the centrifugal cylinder, the adjusting direction and the adjusting amplitude of the rotating speed gradient are determined according to the mapping relation between the pressure difference distribution and the rotating speed gradient, the force field rotating inertia is dynamically updated, and centrifugal field distribution is obtained; according to the real-time change of the solid-liquid interfacial tension, the output power of the heating module is adjusted, the optimal value of the interfacial tension gradient is determined, and phase state layering is obtained; and calculating fluid shear stress required by a subsequent thermal separation stage based on fluid turbulent flow distribution and a separation purity value of a mixed region, and determining power distribution parameters of thermal separation by combining with a separation purity value of a centrifugal separation stage.

The invention relates to the field of tea granulation, and provides a tea or edible flower mixed freezing granulation method, which comprises the following steps: S1, picking fresh raw materials, and carrying out fixation and impurity removal, S2, carrying out drying treatment on the raw materials to evaporate water, and screening and crushing the raw materials, S3, preparing a suspension from the raw materials, and S4, carrying out freeze drying. S4, spraying the suspension into a container filled with liquid nitrogen to prepare granules; S5, drying the frozen granular suspension to remove moisture; when the suspension is prepared into particles, the particle size and uniformity of the particles can be well kept, the particle density is controlled by controlling the concentration of the suspension, the non-porous particles are prepared, due to the fact that no migration phenomenon of small particles or adhesive molecules exists in the granulation process, the particle uniformity is high, and the particle size is uniform. The problems that due to the raw material density, a particle finished product is doped with air to form holes, and the uniformity of particles is not high in the preparation process are solved.

This invention relates to the field of engineering surveying technology and provides a method for determining the porosity of coarse-grained soil. The method includes: excavating a first trench in the field and removing all the coarse-grained soil from the first trench; determining the total mass m1 of the coarse-grained soil in the first trench; measuring the volume of the first trench in the field as the total pore-containing volume V1 of the coarse-grained soil in the first trench; measuring the total mass m2 of all the coarse-grained soil drained from the first trench in the field using the drainage method; excavating a second trench at a location adjacent to the first trench and taking a sample from the second trench for laboratory measurement to determine the moisture content w of the coarse-grained soil; determining the particle volume V2 of the coarse-grained soil in the first trench based on m1, m2, and w; and determining the porosity of the coarse-grained soil based on V1 and V2. This method solves the problem of particle density representativeness error caused by partial sampling in traditional porosity measurement methods.

This invention discloses a method for optimizing process parameters in multi-step grinding of hard and brittle materials with varying depth of cut, comprising the following steps: establishing an existing damage evolution model; establishing a semi-empirical grinding damage depth prediction model; designing grinding experiments and determining the total grinding amount as a0; determining the number of grinding passes N on the surface of the hard and brittle material; and establishing the grinding depth a. p Select an optimization model; determine different grinding depths a i The depth of damage c below i Input the constraints of the optimization model; define the objective function; obtain the grinding depth 'a' at which the damage is minimized based on the optimization model. i This invention establishes a damage evolution model through simulation, revealing the influence of various surface damages on crack propagation and proving that traditional studies do not require the removal of existing damage by several times. This invention proposes a semi-empirical model for predicting grinding damage that does not rely on difficult-to-measure parameters such as abrasive particle density and undeformed chip thickness, and a relatively accurate damage prediction model can be obtained with a small amount of experimental data.

The application discloses a copper alloy strip, which comprises the following components in percentage by mass: Ni: 6-7%, Co: 2.0-2.5%, Si: 1.5-2%, Al: 1.0-1.5%, Mg: 0.05-0.15%, Ag: 0.06-0.1%, and the balance of Cu and inevitable impurities. The microstructure of the copper alloy strip comprises a matrix phase and a strengthening phase distributed in the matrix phase, the strengthening phase comprises beta-Ni3Si, delta-(Co, Ni)2Si and Ni3Al, the particle diameter of the strengthening phase is less than or equal to 5 nm, and the particle density per unit area is greater than or equal to 10000 pieces per mu m 2 The application further discloses a preparation method and application of the copper alloy strip. The alloy components are optimized, and a certain heat treatment process is combined, so that the prepared copper alloy has excellent strength, good electric conductivity, high-temperature softening resistance and stress relaxation resistance, and has a wide application prospect in a chip lead frame.

This invention belongs to the field of material performance testing technology, specifically relating to a method for determining the particle density of carbon anode raw materials. The method includes: injecting water into a first container until the liquid levels in the first and second containers are equal, and reading the scale of the first and second containers as V1; adding carbon anode raw material particles with a mass of m, including petroleum coke or calcined coke, into the first container; injecting a mixed solution into the first container until the carbon anode raw material particles are completely submerged, the mixed solution including pure water and a low-foaming nonionic surfactant; pre-treating the first and second containers in an ultrasonic instrument; and placing the pre-treated first and second containers into a vacuum chamber, evacuating the chamber until it reaches negative pressure, and maintaining the pressure in the vacuum chamber. This method for determining the particle density of carbon anode raw materials can accurately measure the particle density of carbon anode raw materials.

The present invention provides novel hollow silica particles with a densified shell and a method for producing the hollow silica particles. The hollow silica particles of the present invention have a shell layer containing silica, have a space portion inside the shell layer, and have a particle density of 2.00 g / cm 3 or less, as determined by density measurement based on a dry pycnometer using helium gas. 3 or less, as determined by density measurement based on a dry pycnometer using oxygen gas.