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139 results about "Momentum conservation" patented technology

The law of momentum conservation can be stated as follows. For a collision occurring between object 1 and object 2 in an isolated system, the total momentum of the two objects before the collision is equal to the total momentum of the two objects after the collision.

Collaborative path planning method for kinematic redundant two-arm space robot

ActiveCN110104216AImplementing a collaborative path planning methodSmall attitude disturbanceProgramme-controlled manipulatorCosmonautic vehiclesKinematics equationsDynamic balance
The invention discloses a collaborative path planning method for a kinematic redundant two-arm space robot. The collaborative path planning method for the kinematic redundant two-arm space robot comprises the following steps that a dynamic equation and a kinematic equation of a space robot system are established; a redundant solution of an inverse kinematics equation of an end-effector is solved,and a system non-holonomic constraint equation is obtained through a momentum conservation equation; a task space constraint equation of the relationship between the end-effector motion and the attitude of a base is obtained through the system non-holonomic constraint equation; the path planning of the end-effector in a task space is obtained by using a quintic bezier curve, and path execution time is determined by the velocity and acceleration boundary of the end-effector; and the joint motion trajectory planning corresponding to different task priorities is obtained through the end-effectormotion equation and the task space constraint equation. The collaborative path planning method of the space two-arm robot is implemented, various tasks can be performed according to the priorities ofthe tasks such as a multi-arm collaborative task and a dynamic balancing task, and the operation ability of a space manipulator is greatly expanded.
Owner:RES & DEV INST OF NORTHWESTERN POLYTECHNICAL UNIV IN SHENZHEN +1

Coupling analysis method for one-dimensional mathematical model and two-dimensional mathematical model of river way outburst flood

The invention provides a coupling analysis method for a one-dimensional mathematical model and two-dimensional mathematical model of river way outburst flood. After corresponding data is collected, adyke breach outflux inundated area and a river way section obviously influenced by dyke breach outflux are first dispersed by using a quadrilateral or triangular unstructured grid, and other river sections adopt one-dimensional cross-section data generalization. The one-dimensional model is solved by adopting a classical Presimann implicit format, the two-dimensional model is solved by adopting aGodunov format with a shock capturing ability. In order to avoid numerical oscillation, mass conservation and momentum conservation of the connection portion between the one-dimensional mathematical model and the two-dimensional mathematical model are ensured; according to the coupling analysis method for the one-dimensional mathematical model and two-dimensional mathematical model of river way outburst flood, provided connection portion is a transition region, one-dimensional model calculation and two-dimensional model calculation are both conducted in the transition region. After the dyke breach is started, the dyke breach outflux inundated area and a river way two-dimensional computing area automatically become an integrated two-dimensional computing area, and the calculation of dyke breach outflux process is completed by the two-dimensional model. The processing method can fully consider the hydrodynamic response process inside and outside the river way on the dyke breach, the numerical simulation precision of the dyke breach outflux process is improved, and the shortcoming in a traditional method is overcome that only a weir formula is adopted to calculate the dyke breach outflux process, so that the momentum exchange inside and outside the river way can not be considered.
Owner:CHINA INST OF WATER RESOURCES & HYDROPOWER RES

Gaussian distribution-based wind turbine generator set wake flow analyzing and modeling method

The invention belongs to the technical field of wind power generation micro-sitting selection and particularly relates to a Gaussian distribution-based wind turbine generator set wake flow analyzing and modeling method. The Gaussian distribution-based wind turbine generator set wake flow analyzing and modeling method, under the premise of appropriate assumptions, by combining the law of conservation of mass and the law of one-dimensional momentum conservation and according to the laws that wind speed loss radially follows Gaussian distribution and wake flow radius presents linear expansion, deducing a calculation model of wind turbine generator set wake zone wind speed distribution; according to analysis on wake flow speeds of different downstream positions, determining the value range ofdownstream wake boundary coefficients; by combining with the expansion law of wind turbine wake flow, determining the value range of wind turbine wake flow boundary coefficients. A simplified wake flow model acquired through the Gaussian distribution-based wind turbine generator set wake flow analyzing and modeling method can help rapidly, easily, conveniently and accurately calculate out wind speed distribution of wind turbine generator set wake zones and provide reference for taking into consideration wake flow effects during wind power generation micro-sitting selection.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)

Method for calculating sieve plate extraction tower liquid flow field by using low Reynolds number turbulence model

InactiveCN106682348AAccurate calculation of hydrodynamic informationDesign optimisation/simulationSpecial data processing applicationsPhysical modelEngineering
The invention discloses a method for calculating a sieve plate extraction tower liquid flow field by using a low Reynolds number turbulence model. The method includes the following steps: (1) determining a sieve plate extraction tower physical model; (2) establishing a sieve plate extraction tower three-dimensional calculation Euler-Euler two-phase flow model; (3) using the low Reynolds number turbulence model to seal a Navier-Stokes equation (N-S equation); (4) determining a boundary condition and an initial condition for solving the three-dimensional calculation Euler-Euler two-phase flow model; (5) performing discretization on a fluid mechanics basic equation in a computational domain; and (6) solving a mass conservation equation and a momentum conservation equation, and acquiring flow field data of each grid unit in the sieve plate extraction tower; and (7) measuring an actual flow field of the extraction tower by using a particle imaging velocity measurement technique, performing adjustment and feedback according to the measured data, and finally determining a practical model. The model method for precisely calculating the sieve plate extraction tower liquid flow field is implemented, and reliable fluid mechanics information for an actual design of the sieve plate extraction tower.
Owner:FUZHOU UNIV

Sector meshing and neighbor searching for object interaction simulation

Methods for computer-implemented simulation for the interaction of two or more objects are provided. Data describing particles that represent each of the objects is generated from geometric data for objects. The data for each particle describes a mass density, velocity and energy at a position of the corresponding object. The particles are grouped into sectors to define a computational mesh comprising a plurality of sectors, wherein each sector is a volume region at a position in space in which particles associated with the objects may reside. For each of a plurality of select particles, so called neighboring particles are determined that are within a region of influence with respect to a select particle. Computations are performed based on laws of conservation of mass, energy and momentum to produce updated values for mass, velocity, energy, pressure, stress and position for the particles at each of a plurality of time steps. According to one aspect, when determining neighboring particles for a given select particle, a search is made through a limited or bounded volume region with respect to the select particle that consists of the region of influence for the select particle at the previous time step and within those sectors in contact with or bordering the region of influence at the previous time step. According to another aspect, the plurality of select particles are identified as those particles that reside in an active sector, wherein an active sector is a sector that contains, or is adjacent to a sector that contains, particles that is actively involved in the engagement between the two objects. For example, an active sector is a sector that contains, or is adjacent to a sector that contains, at least one particle that has a velocity, pressure or stress greater than a corresponding predetermined amount.
Owner:PERATON INC

Modeling method for coupling numerical value of cracking reaction in furnace tube and combustion of industrial dichloroethane cracking furnace chamber

The invention provides a modeling method for a coupling numerical value of cracking reaction in a furnace tube and combustion of an industrial dichloroethane cracking furnace chamber. According to the method, the dichloroethane cracking furnace is divided into a furnace chamber model and a furnace tube model during modeling, and grids are divided on the furnace chamber and the furnace tube. The furnace chamber takes an outer tube wall temperature given by the furnace tube model as a boundary condition, important furnace chamber parameter distribution of the furnace chamber flue gas temperature, the speed, the component concentration and the like is calculated by a combustion model, a flowing model and a heat transmission model; the furnace tube takes a furnace tube heat flux calculated by the furnace chamber as a boundary condition, and process temperature, pressure and concentration distribution in a tube length direction is calculated through a cracking reaction model in the tube and taking mass conservation, momentum conservation, energy conservation relations in the tube, so that analyses of important economic targets of the dichloroethane cracking conversion rate, the selectivity, the unit consumption and the like under current operation conditions are facilitated, and guidance of filed process optimization is facilitated. The modeling method is applicable to various high-temperature cracking furnaces and has a wide adaptability.
Owner:EAST CHINA UNIV OF SCI & TECH

Method for measuring granule fluid two-phase stream reactor fluid phase component concentration distribution

InactiveCN101285753AAccurately measure component concentration profilesAccurate measurementSpecial data processing applicationsMaterial analysisFluid phaseMomentum conservation
The invention relates to a method for measuring the concentration distribution of compositions in a particle-fluid two-phase flow reactor. The method comprises the following steps of: S1, calculation of the mass conservation equation and the momentum conservation equation of each micro unit in a measuring area of the particle-fluid two-phase flow reactor and acquisition of the fluid-solid speed and the particle concentration distribution of each micro unit; S2, acquisition of matrixes which are formed by spacial discrete distribution of dilute and dense phase structural parameters; S3, acquisition of the composition concentration of dilute phase and dense phase; S4, calculation of the mean fluid density of the micro unit according to the composition concentration of the dilute phase and the dense phase, in which, if the mean fluid density meets the precision requirement, the fluid-solid speed, the particle concentration and the composition concentration are outputted and the operation is ended; if the mean fluid density fails to meet the precision requirement, the calculated mean fluid density of the dilute phase and the dense phase is substituted in the step S1, and the next iteration begins. The method introduces a multi-scale flow structure into the particle-fluid mass transfer measuring process, takes malconformation of local mass transfer into account, and more accurately measures the composition concentration distribution in the particle-fluid two-phase flow reactor.
Owner:INST OF PROCESS ENG CHINESE ACAD OF SCI

Ingot casting macrosegregation numerical simulation method

The invention discloses an ingot casting macrosegregation numerical simulation method and belongs to the field of macrosegregation prediction. The problem that macrosegregation formed under the combined action of different physical mechanisms cannot be accurately predicted by existing macrosegregation calculation is solved. The ingot casting macrosegregation numerical simulation method comprises the steps that macroscale mesh generation is carried out on an ingot casting system to form a series of computing grids, and the positions of impurities in the ingot casting system in ingot casting grids are set; for the ingot casting grids, the impurity speed distribution, the cast ingot inner temperature distribution and cast ingot inner average composition distribution are obtained through the energy conservation equation, the composition conservation equation, the momentum conservation equation and the mass conservation equation; for all the computing grids except for the ingot casting grids, the casting grid energy conservation equation is calculated, and the cast grid inner temperature distribution is obtained; after solidification is finished, and the cast ingot inner average composition distribution is output. The ingot casting macrosegregation numerical simulation method accurately predicts macrosegregation formation, and is applicable to prediction of macrosegregation of sand molds and metal molds of various sizes.
Owner:HARBIN UNIV OF SCI & TECH

Chemical vapor deposition rate prediction method

ActiveCN110598255AAccurate calculation of viscosity coefficientUniversalChemical property predictionChemical machine learningLearning machineGas phase
The invention discloses a chemical vapor deposition rate prediction method, and particularly relates to the field of chemical process research. The chemical vapor deposition rate prediction method comprises the following steps: building a finite element reactor model; establishing an energy conservation equation; establishing a mass conservation equation and a momentum conservation equation; establishing a multi-component diffusion equation; establishing a gas phase reaction model; determining main intermediate substances by an extreme learning machine model and an adhesion coefficient method;establishing a surface reaction model; establishing correlation between the viscosity coefficient and the surface concentration as well as the deposition rate by the deposition rate prediction model;establishing a multi-dependent-variable PLSR model between the viscosity coefficient of the intermediate substance and the influence factor of the intermediate substance; and determining an adhesioncoefficient according to an experimental result. According to the chemical vapor deposition rate prediction method, the simulation technology of machine learning and computational fluid mechanics is combined, and the dependence of model parameters on human experience is greatly reduced, and the important mesophase and the viscosity coefficient can be accurately determined through a small number ofexperiments, and the technical effects of high prediction result accuracy and high reliability are achieved.
Owner:SOUTH CHINA UNIV OF TECH

General hydrodynamic calculation method for ultra-supercritical boiler

The invention discloses a general hydrodynamic calculation method for an ultra-supercritical boiler, and provides a flow network system method consisting of a nonlinear model applied to a computer. The calculation method is suitable for hydrodynamic calculation and wall temperature safety analysis of the ultra-supercritical once-through boiler under various boiler overall arrangement forms, various pipe coil forms, various combustion technologies and various mass velocity combinations. The method comprises the steps of simplifying a water wall into a flow network system consisting of elements such as a connecting pipe loop, a heated loop, a pressure node and the like according to structure characteristics of the water wall and heat load distribution of a furnace chamber; and building the nonlinear calculation model of flow distribution according to a mass conservation equation, a momentum conservation equation and an energy conservation equation. Through direct solving of a nonlinear equation set, flow distribution and node pressure distribution in the heated loop and a connecting pipe are determined, and based on this, boiler water wall flow and metal wall temperature are subjected to safety check, so that guidance calculation can be performed for design and safety check of the boiler.
Owner:XI AN JIAOTONG UNIV +2

Method for inverting mass concentration of atmospheric particulates based on flight time of particulates

The invention relates to a method for inverting the mass concentration of atmospheric particulates based on the flight time of the particulates. The mass concentration of the particulates can be inverted according to the flight speed and the sampling flow on the basis of an aerodynamic particulate spectrometer. According to the work principle of the aerodynamic particulate spectrometer, the particulates with different particle sizes have only speed up at any one point on an airflow track after the particulates pass through an accelerating nozzle, so the flight speed of particles can be obtained through the flight time. The relationship between the flight speed and the mass of the particles can be obtained according to a momentum conservation theorem and aerodynamic and hydromechanical principles, so the mass concentration of the particulates can be inverted through the flight speed and the sampling flow. The method provided by the invention can be used for inverting the mass concentration of the atmospheric particulates according to the dynamic feature of the particulates and provides an inversion algorithm capable of measuring the mass concentration of the atmospheric particulates accurately, in real time and on line.
Owner:HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI

Optimal transportation meshless method for solving large deformation of material

ActiveCN106446432AResolving Tensile Stress InstabilityAvoid high computationDesign optimisation/simulationSpecial data processing applicationsProblem domainMetallic materials
The invention relates to an optimal transportation meshless (OTM) method for solving large deformation of a material and aims at solving the problems of effective and stable solving of maximum deformation, high-speed impact and geometric distortion, metal material molding, multiphase coupling and the like. The OTM method adopts a material point and node pair original problem domain to perform discretion and adopts a local maximum entropy interpolation function to construct a continuous movement function, and the problem that mesh distortion caused in maximum deformation processed by adopting a finite element method, the problem that a Dirichlet boundary condition cannot be directly added for a meshless method, calculating misconvergence and the like are avoided. In addition, due to the fact that interpolation and integration are performed at different discrete points, an effective meshless numerical integration mode is provided, and the problem of tensile stress instability is solved. The OTM method serves as an incremental updating Lagrangian method to make mass conservation automatically achieved without solving. Time discretion is performed by adopting an optimal transportation theory, the momentum conservation and symplectic conservation of a discrete system are ensured, and the operation efficiency and precision are greatly improved.
Owner:云翼超算(北京)软件科技有限公司

Wind power prediction method and system in wind power plant

The invention discloses a wind power prediction method and system in a wind power plant, and the method comprises the steps: calculating the wake flow speed of natural wind speed passing through blades of a wind driven generator through a pre-built wind speed model according to the law of conservation of mass; calculating the input wind speed of any wind driven generator in the wind power plant based on the law of conservation of momentum according to the wake flow speed; performing wake flow correction on the input wind speed according to the input wind speed to obtain a corrected input windspeed; obtaining a predicted wind speed through a wind speed prediction model according to the corrected input wind speed; and according to the predicted wind speed, performing wind power prediction through a dynamic time sequence neural network prediction model to obtain predicted wind power. By considering the wind speed model under the wake flow effect, wake flow correction is performed on theinput wind speed of the wind turbine generator of the whole wind power plant, and the corrected wind speed is used as the input of the wind speed prediction model, so that the obtained wind speed prediction precision is improved, and the wind power prediction precision is further improved.
Owner:BEIJING PUHUA YINENG WIND POWER TECH

Component nonuniformity numerical prediction method for magnesium alloy casting parts

The invention discloses a component nonuniformity numerical prediction method for magnesium alloy casting parts, and relates to a component nonuniformity numerical prediction method for magnesium alloy casting parts. The objective of the invention is to solve the problem that macrosegregation formation of the magnesium alloy casting parts cannot be accurately predicted by an existing method. The component nonuniformity numerical prediction method comprises the following steps: 1, simulating the growth of alpha-Mg dendrites with different growth orientations by adopting a cellular automaton method to obtain a curve that the specific surface area of the dendrites changes along with the solid phase fraction; 2, performing mesh generation on the casting system; 3, calculating an energy, component and momentum conservation equation for all grids with subscript char = 0, and obtaining distribution of temperature, average component and speed in the casting parts; 4, calculating an energy conservation equation for all grids of which the subscript chars are not 0 to obtain temperature distribution; and 5, repeating the step 2, the step 3 and the step 4 until solidification is finished, and outputting an average component field in the casting parts. The component nonuniformity numerical prediction method is applied to the field of magnesium alloy casting part component prediction.
Owner:HARBIN UNIV OF SCI & TECH
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