75 results about "Particle dynamics" patented technology

The invention discloses a particle dynamic characteristic simulation method and device based on multi-scale fluid-solid coupling, and the method comprises the steps: generating a background grid according to a simulation flow field region, and generating a local grid according to the position of a target particle; inputting the solid domain parameter and the fluid domain parameter of the current time step into a fluid-solid coupling model, and outputting a target solid domain parameter and a target fluid domain parameter; judging whether a local grid needs to be regenerated or not; if yes, a new local grid is generated according to the target solid domain parameters, and solid domain parameters and fluid domain parameters of the new local grid are obtained to serve as input parameters of the next time step; if not, taking the target fluid domain parameter and the target solid domain parameter as input parameters of the next time step; and repeating the inputting and judging processes until the simulation duration is reached, and determining the dynamic characteristics of the solid particles according to the target solid domain parameters of each time step. According to the method, multi-scale fluid-solid coupling calculation can be accurately and efficiently carried out, so that dynamic characteristic simulation of target particles is effectively realized.

The invention relates to the technical field of concentration calculation, in particular to a water suspended matter concentration calculation method based on multi-wavelength detection, which comprises the following steps of: adopting a multi-spectral measurement method, utilizing light beams with different wavelengths to penetrate through a water body, and identifying particle size distribution and morphological characteristics of suspended matter particles; separating and correcting the turbidity contribution of the particles with different particle sizes through a least square fitting algorithm; decomposing the measured optical signal into a basic scattering component, a particle size dependent component and a background signal component by adopting a multi-level signal decoupling algorithm; and in combination with data after particle characteristic correction and optical signal decoupling, constructing a suspended matter concentration calculation model based on particle dynamics, calculating the water suspended matter concentration by using the dynamic model, and outputting suspended matter concentration data. According to the method, dynamic modeling is carried out on the concentration of the suspended matter, a dynamic equilibrium equation is solved through numerical values, and the concentration change of the suspended matter in time and depth is accurately described.

The invention relates to the technical field of powder machines, in particular to an intelligent control method and system for a powder forming machine. The method comprises the steps that powder material parameters and mold parameters are obtained, the powder material parameters comprise particle size distribution, yield strength and a friction coefficient, and the mold parameters comprise mold geometric parameters; based on a discrete element method, particle dynamic analysis is conducted on the powder material parameters, particle mechanical motion characteristic data are generated, and the particle mechanical motion characteristic data comprise particle position data, speed data, contact force data and force chain distribution data constructed by the contact force data; based on a finite element method, structural mechanics analysis is conducted on the mold parameters, mold macromechanics response data are generated, and the mold macromechanics response data comprise stress distribution data, strain distribution data and displacement distribution data; and according to the particle mechanical motion characteristic data and the mold macromechanical response data, generating a powder pressing path control instruction of the mold.

The invention provides an adhesive particle dynamic repose angle prediction method based on a discrete element-machine learning coupling model. The method comprises the steps that a repose angle experimental device is built, the repose angle of the adhesive particles is measured, and a repose angle data set is obtained; constructing a geometric model of the experimental device, performing discrete element numerical simulation on the adhesive particles based on the basic parameters under the characteristic working conditions, obtaining repose angle data corresponding to the characteristic parameters of the adhesive particles, comparing the repose angle data obtained by the experiment and the repose angle data obtained by the simulation one by one, obtaining an optimal parameter combination, and verifying the reasonability of the simulation; the method comprises the following steps: firstly, determining the influence of characteristic parameters on a dynamic repose angle based on the characteristic parameters of a simulation process, then constructing a machine learning prediction model according to repose angle data corresponding to the characteristic parameters under an obtained optimal parameter combination, and carrying out index evaluation and optimization. According to the method, by fusing discrete element numerical simulation and machine learning, the environmental influence is greatly reduced, and the method has excellent accuracy for predicting the dynamic angle of repose under variable working conditions.

The invention discloses a multi-block rock mass landslide surge risk assessment method and system, and the method comprises the following steps: 1, building a landslide and water body model, and carrying out the assignment of material parameters; 2, determining boundary conditions of the model, and performing discrete processing on the model according to precision requirements; 3, a block discrete element method is adopted, the contact acting force between multiple block rock masses is calculated, and the resultant acceleration of all the block masses is updated in real time; 4, simulating a water body and surge evolution process by adopting a smoothed particle dynamics method; 5, performing coupling calculation between the water body and the rock mass to obtain a coupling acceleration; and step 6, adding the calculated coupling acceleration to the step 3 and the step 4, carrying out speed and coordinate displacement updating on the whole device, and carrying out cyclic calculation until a calculation time step requirement is met. The device can accurately simulate the pressure distribution of the coupling interface, and can accurately predict the collision movement process of the rock mass and the generation and propagation process of the surge.

The invention discloses a particle accelerator multi-particle dynamics efficient simulation method, system and device and a medium. The method comprises the steps that a small number of macro particles are sampled from an initial macro particle beam to form a new macro particle beam; performing multi-particle beam flow dynamics simulation on the new macro particle beams by adopting a PIC algorithm, and projecting the new macro particle beams to four two-dimensional phase spaces in a distributed manner to generate low-resolution phase diagrams of the four two-dimensional phase spaces; obtaining beam physical parameters based on the new macro particle beam; and inputting the low-resolution phase diagram and the beam physical parameters into a beam halo super-resolution network, and outputting a high-resolution phase diagram of each phase space to realize multi-particle beam flow dynamics simulation. Therefore, by combining a traditional numerical calculation method and an artificial intelligence technology, the problem that an existing artificial intelligence algorithm is weak in generalization ability in the field of beam dynamics simulation is solved, rapid and high-precision simulation of the large-scale multi-particle beam flow dynamics process is achieved, and the method is applied to the field of particle accelerator beam dynamics simulation.

The invention provides a semi-analytic LBM-DEM method for simulating particle-fluid two-phase flow, and the method comprises the steps: constructing a semi-analytic LBM-DEM coupling model, enabling the model to firstly determine the range of an expansion domain of particles, and obtaining the information, such as the average fluid velocity, the vorticity, the pressure gradient and the porosity, near the particles through traversing units in the expansion domain; and then, based on a theoretical formula and a semi-empirical formula, calculating the acting force of the fluid on the particles, and correcting a solid collision operator weight coefficient of a particle covering unit according to the acting force, so that synchronous evolution of particle dynamics and flow field distribution is realized. Compared with a classical analysis LBM-DEM coupling method, the method has the advantages that the calculation cost can be remarkably reduced under the condition that the calculation precision is guaranteed, and the method is particularly suitable for particle two-phase flow simulation in complex flow channels such as porous media and fractures.

The invention discloses a high-sulfur-content natural gas elbow sulfur particle deposition simulation experiment device and a testing method, and relates to the technical field of high-sulfur-content natural gas gathering and transportation pipeline sulfur particle dynamic deposition. The sulfur particle deposition simulation experiment device for the high-sulfur-content natural gas pipeline can simulate the dynamic deposition process of sulfur particles under various working conditions such as different flow rates of the sulfur particles, different flow rates of gas, different particle sizes of the sulfur particles, different pipeline pressures, different pipe bending angles and different pipe bending materials; through the two-stage recovery and two-stage purification scheme of the activated carbon adsorption device, the cloth bag dust collector and the secondary filter screen, the sulfur particle recovery rate is highly reliable, and the danger to the environment and testers is remarkably reduced; and through the coupling design of the micro vibrator and the sulfur particle injection device, the problem of blockage caused by sulfur particle agglomeration is effectively solved, and the manual intervention frequency is reduced.

The invention provides a three-dimensional geological modeling method, system and equipment based on a particle dynamics system. The method comprises the following steps: carrying out data preprocessing on a drilling data set of a to-be-built geological model region to obtain a stratum attribute known point set; discretizing the to-be-built geologic model area, and performing stratum parameter initialization processing on each spatial discrete coordinate point in the to-be-built geologic model area according to the stratum attribute known point set to obtain initial stratum parameters of a to-be-built geologic model; based on the initial stratum parameters and the drilling data set, a weight function expressed by spatial distribution information is established; establishing a link relation information matrix according to grid division and section discontinuity information of the to-be-established geological model area; based on a particle dynamics theory, establishing a system dynamics equation in a differential algebraic equation form by applying the initial stratum parameters, the weighting function and the link relation information matrix; and solving the system kinetic equation to establish a three-dimensional geological model of the to-be-established geological model area.

The invention discloses a small celestial body sampling process dynamics and control simulation method based on particle dynamics. The method comprises the following steps: establishing a small celestial body particle dynamics model and a detector system flexible multi-body dynamics model; and establishing a particle dynamics-multi-body dynamics-control coupling simulation model, and realizing dynamics and control joint simulation solution calculation in the small celestial body sampling process by using a numerical integration algorithm. In order to solve the multidisciplinary, system-level dynamics and control joint simulation problem in the small celestial body sampling process, mathematical simulation models of small celestial body star soil particle flow dynamics, detector flexible multi-body dynamics, detector attitude and orbit control and mechanical arm control are provided, and the interface relation among the models is defined; multi-disciplinary and system-level joint simulation of particle dynamics-multi-body dynamics-control in the small celestial body sampling process is realized, and an important technical means is provided for small celestial body star soil weathered layer particle characteristic simulation and process dynamics and control coupling characteristic analysis.

The invention relates to a converter valve water-cooling voltage-sharing electrode charged particle distribution simulation method and system. The method comprises the following steps: constructing a three-dimensional geometric model of multiple types of voltage-sharing electrodes; constructing a charged particle multi-physics field coupling model based on the three-dimensional geometric model, wherein the coupling model comprises a flow field control equation, an electric field control equation and a particle dynamics model; simulation boundary conditions and initial conditions are set, the boundary conditions comprise flow field boundary conditions and electric field boundary conditions, and the initial conditions comprise particle release initial conditions; on the basis of the coupling model, the simulation boundary condition and the initial condition, particle tracking and distribution characteristic resolving are executed, a simulation result is obtained, and the simulation result comprises a particle motion trail, a particle capture rate and a capture area. Compared with the prior art, the method has the advantages of breaking through macroscopic monitoring limitation, realizing microcosmic dynamic quantitative analysis, analyzing a multi-field force competition mechanism, revealing a local scaling source, verifying the advantages of a multi-electrode structure, supporting optimal design and the like.

The present invention provides a method for measuring particle mass flow. The method discretizes the air-powder mixture passing through fixed blades into multiple particle microelements along the circumferential arrangement direction of the sensor. The microelements collide with the pipe wall during spiral motion to generate tangential force, radial force, and axial force, causing the sensor to generate a deformation output voltage. The present invention fits the relationship between the microelement mass and voltage, uses the discretization method to calculate the mass M of the coal powder, and then uses the cross-correlation method to calculate the transit time of the particles between the two layers of sensors, thereby obtaining the mass flow Q. m The present invention relies on the piezoelectric effect and the particle dynamics model to measure the mass flow of particles in the air powder, thereby ensuring the accuracy of the coal powder mass flow measurement.

The invention discloses a special effect processing method and device, a storage medium and equipment. The special effect processing method comprises the steps of obtaining skeleton binding data of a skeleton binding model corresponding to a target static model; generating a plurality of particles according to the target static model and the skeleton binding data, wherein the plurality of particles correspond to skeleton points in the skeleton binding data; performing special effect processing on the plurality of particles based on a preset special effect, and determining particle dynamic data of the plurality of particles corresponding to the special effect processing; determining model dynamic data of the target static model according to the particle dynamic data; the target static model is controlled to generate the preset special effect of the target static model according to the model dynamic data change, the special effect can be used for the static model, the special effect generation effect is improved, and the special effect generation mode is enriched.

The invention provides a solid fracture calculation method and device based on smoothed particle dynamics. The method comprises the following steps: establishing a smoothed particle dynamics calculation model, setting conditions, and obtaining a stress state between particles; and when the stress state between any particle pair meets the judgment basis, judging that the particle pair is broken and breaking the link bond. And calculating the midpoint position of the fracture particle pair and setting the midpoint position as a base point, and establishing a failure surface by taking the connecting line direction of the two fracture particles as a normal direction. And on the basis of a preset smooth kernel function, in the fracture particle influence domain, according to the position relationship between the particles and the fracture surfaces, dividing the particles in the domain into a fracture surface same-side set and a fracture surface different-side set, keeping same-side links, and disconnecting different-side links. And repeating the steps until the calculation of the fracture process of the solid structure is completed. According to the method, stable construction of the failure surface is realized, the influence of real-time position disturbance is avoided, and the simulation precision and the applicability of the algorithm are improved by controlling the link keys in the complete influence domain in a regional manner.

The present invention relates to the field of intelligent positioning technology, specifically to an intelligent positioning system and positioning method applied to a spraying robot, wherein the positioning system includes a light field data acquisition module, a particle tracking calculation module, an acoustic wave precision ranging module, and a dynamic verification execution module. In the present invention, a multi-sensing technology synthesis is used to perform all-round perception of the operating environment of the spraying robot, and the precise position of the spray head is updated by real-time capture of light field data and precise calculation of particle dynamics strategies to ensure spraying accuracy, which can greatly improve the real-time response capability to environmental changes and the dynamic adjustment capability of the spraying process, reduce material waste and improve coating quality and production efficiency. The added acoustic wave precision ranging enhances the robustness and reliability of the system in complex industrial environments through the fusion of acoustic wave and light field information, and precise tracking is combined with real-time position adjustment to ensure that each spraying reaches the optimal quality.

The application relates to the technical field of aircrafts, and discloses a calculation method, equipment and medium for the multi-physical effect of ablation particles, the method comprising the following steps: acquiring equivalent inertia items induced by respective multi-physical effects; calculating a multi-physical particle dynamics process according to a particle sliding resistance item and the equivalent inertia items induced by the respective multi-physical effects; performing dimensionless processing on a radiation heat transfer equation of spherical particles in the volume of an arbitrary sampling unit to obtain a dimensionless radiation heat transfer equation; and calculating a thermal radiation particle thermodynamic process by using the dimensionless radiation heat transfer equation. The method can reflect complex physical processes under extreme mechanical environments, ensure that numerical simulation can reproduce the original appearance of ablation physics, has engineering interaction of ablation problems, automatically performs dimensionless processing, avoids numerical rigidity caused by dimensional differences of different physical problems, and fills the gap that the prior art cannot calculate complex processes of multi-physical effects of ablation particles under extreme mechanical conditions.

The present invention belongs to the field of artificial intelligence technology, and relates to a method and device for simulating external force-driven scene flow based on SPH of CCNN. The method comprises: transforming the smooth particle dynamics time advancement format, and using a continuous convolution neural network to correct the displacement of fluid particles in the transformed time advancement format; using a classical smooth particle dynamics method to simulate the scene flow driven by external force, and generating a plurality of data sets of flow field velocity evolution over time as a training set; using the training set to train the continuous convolution neural network; according to the time advancement format of the transformed smooth particle dynamics model, updating the position and velocity of the fluid particles, and simulating a given external force-driven scene flow. The technical solution of the present invention simplifies the acceleration term in the time advancement format, increases the time advancement step, and improves the efficiency of numerical simulation of scene flow driven by external force, and can quickly simulate the flow of fluids with different viscosities under different external forces and scenes.

The invention discloses a shock absorber for a pipeline and a pipeline system, and relates to the technical field of vibration control. According to the shock absorber for the pipeline, the multiple sets of local resonance units are arranged in the annular shell, each local resonance unit comprises the hollow mass block filled with the damping energy dissipation particles, the first elastic piece and the second elastic piece, and a cooperative mechanism of local resonance band gap directional energy absorption and particle inelastic collision broadband energy dissipation is achieved; on the basis of synergistic interaction of local resonance and particle dynamics characteristics, efficient vibration reduction can be conducted on a wide frequency band, vibration of a pipeline system on various occasions is effectively restrained, and the problems that in the prior art, low-frequency performance is poor, the frequency band is narrow, robustness is not high, and parameter adjustment is complex are solved. The whole shock absorber adopts a compact hoop type integrated design, is flexible and simple, can adapt to different pipe diameters, and breaks through the problems of large size, complex installation and insufficient reliability in the prior art. The pipeline system comprises the shock absorber for the pipeline.

The application relates to a liquid drop spraying device for an inertial particle dynamics experiment of an online cabinet of a space station, which comprises a fiber coupler, a spray head and a support, the fiber coupler and the spray head are both installed on the support, a light path channel and a liquid path channel are vertically arranged and cross arranged in the support, the spray head is coaxially installed at one end of the liquid path channel and communicates with the liquid path channel, and the other end of the liquid path channel is in an open structure; the fiber coupler is coaxially installed at one end of the light path channel and communicates with the light path channel, the intersection point of the central axis of the light path channel and the central axis of the liquid path channel is a light-liquid intersection point, and the liquid spraying end of the spray head is located above the light-liquid intersection point; the support comprises a support surface and an assembly surface, the spray head is installed on the support surface side of the support through a clamping assembly, the assembly surface of the support is used for assembling with a turbulent flow generating device, and the support surface and the assembly surface are arranged in parallel opposition or at an acute angle.

The application discloses a trajectory optimization method for an electric unmanned aerial vehicle based on fuzzy neural network sequence convex optimization, and belongs to the unmanned aerial vehicle field.The application realizes the method as follows: a residual energy equation is introduced on a particle dynamics equation of the unmanned aerial vehicle, a state equation of a hybrid energy system is constructed, the state equation and an obstacle avoidance constraint are convexed in a trust region range, and a convex optimization model of a hybrid electric unmanned aerial vehicle flight trajectory problem is constructed; in view of a trust region size adjustment problem, a fuzzy neural network is designed according to a constraint violation degree and an objective function increment, the trust region is adaptively adjusted through the fuzzy neural network, the optimality of a sequence convex optimization method is improved, and the convergence speed of the sequence convex optimization method is accelerated; the hybrid electric unmanned aerial vehicle is iteratively solved through the convex optimization method, and a low energy consumption flight trajectory of the hybrid electric unmanned aerial vehicle is obtained. The unmanned aerial vehicle flies according to the obtained trajectory, solar cells can be maximally utilized, energy consumption of the hybrid energy system is reduced, and flight endurance of the unmanned aerial vehicle is increased.

The invention provides a method and a system for inhibiting deposition and splashing of aerosol jet printing by ultrasonic axial deceleration, and relates to the technical field of aerosol jet printing, and the method comprises the following steps: calculating a critical impact speed according to physical property parameters of ink and a preset critical Weber number; and calculating the acoustic radiation force required for reducing the speed of the ink to the critical impact speed when the ink impacts the substrate, calculating the sound intensity, establishing a sound field, and decelerating the ink through the sound field. According to the method, the quantitative relation between the particle dynamics model and the sound field characteristic parameters is established, and the sound field parameters are accurately regulated and controlled, so that quantitative control over the axial deposition speed of the aerosol nano-ink particles is achieved, satellite liquid drops generated by high-speed impact are fundamentally inhibited, and finally the deposition defect of excessive spraying is inhibited; and the marginal definition, the line width consistency and the electrical / mechanical function reliability of a printed pattern are remarkably improved.

The present invention relates to an observation device system and method for particle motion in continuous cross-flow filtration. By designing a flat membrane cross-flow filtration device, ideal cross-flow filtration can be achieved, thereby being consistent with the ideal flow conditions in a theoretical model. At the same time, non-invasive observation of particle motion can be achieved, avoiding the influence of a lens on the cross-flow in invasive observation. The particle motion observation using the observation device system is simple and easy to operate, has efficient data processing, intuitive experimental recording results, low measurement cost, and can comprehensively obtain particle dynamics information such as particle displacement and velocity.

A gas-solid two-fluid simulation method for a bubbling fluidized bed includes: S1. Using Solidworks to establish a three-dimensional model of the bubbling bed and importing the model into open source software; S2. Setting physical property parameters and establishing a microscale model of particle dynamics; S3. Refining the simulation based on the two-fluid method, setting different working conditions for simulation, verifying the effectiveness of TFM simulation when the grid is smaller than the particle diameter, and establishing a data connection between the coarse grid simulation and the fine grid simulation; S4. Calculating the two-phase drag force using the fine grid simulation data; S5. Correlation analysis between the refined data and the two-phase drag force, determining the input and output parameters of the training, and normalizing the data; S6. Building a complete artificial neural network training model; using Python tools to establish a nonlinear fitting relationship between the input and output parameters through the artificial neural network, and constructing a drag model; S7. Implanting the self-built model through secondary development, applying the model to large-scale industrial equipment, and verifying the model.

According to the model and the simulation method for emitting the microscopic hot electrons to the macroscopic electromagnetic pulse, particle simulation and three-dimensional electromagnetic field simulation are innovatively coupled, and full-chain integrated simulation from microscopic particle dynamics to macroscopic electromagnetic radiation is realized; the technical problem that a micromechanism and macroscopic performance are disjointed in a traditional simulation method is effectively solved; meanwhile, the method has good universality and adaptability, and influences of multiple factors such as laser parameters, target material characteristics and experimental environments can be fully considered. By adjusting simulation parameters, electromagnetic pulse characteristics under different experiment conditions can be accurately predicted, and reliable theoretical guidance is provided for optimizing an experiment design scheme. The method is not only suitable for performance evaluation of an existing laser device, but also can provide technical support for electromagnetic pulse management of a higher-power laser device in the future.

The application provides a ship multi-degree-of-freedom motion fire flame shape evolution simulation method and system based on improved smooth particle dynamics, and belongs to the field of computational fluid dynamics and ship fire safety. The method comprises the following steps: parameter initialization, control equation construction, coupling of rolling inertia force, particle displacement and interface constraint, time advancement loop solving and result output analysis. The application introduces a density dissipation term and a particle displacement technology on the basis of traditional smooth particle dynamics, couples the inertia force generated by the six-degree-of-freedom motion of the ship to the particle momentum equation, and designs anisotropic displacement constraints of the flame interface particles and displacement amplitude limits of the free surface particles, so that the particle aggregation and pressure oscillation caused by dynamic motion are effectively inhibited, the modulation effect of periodic rolling on the flame shape is truly reflected, the clear and stable flame profile in long-time rolling simulation is maintained, and the application is suitable for ship fire design, safety evaluation and emergency decision-making.

The invention discloses a spatial flow field display method and system based on a three-dimensional engine particle system, and belongs to the field of spatial flow field display, and the method comprises the steps: obtaining original flow field data from a turboshaft engine test bed, carrying out the preprocessing and standardization, constructing a database capable of being efficiently read by a three-dimensional engine, and carrying out the three-dimensional scene construction stage, polygonal simplification and topological optimization are carried out on a physical model in a flow field, it is ensured that an engine can keep high-performance operation while the visual effect is ensured, a set of space coordinate-particle trajectory-particle dynamic binding mapping mechanism is established, and the dynamic binding of particles is realized. The abstract flow field data can accurately drive the motion trail of each particle in the particle system, and accurate correspondence between the data and the visual effect is achieved. According to the method, the script is updated through the frame, the particle system can respond to data changes in the database in real time, the motion state is dynamically adjusted, the instantaneous characteristics of the flow field are vividly displayed, and a powerful and convenient interactive tool is provided for flow field analysis.

The invention discloses a pressure loss calculation method in a slurry hydrogen pipeline conveying process, and relates to the technical field of hydrogen energy conveying, and the pressure loss calculation method comprises the following steps: S1, slurry hydrogen pipeline basic design parameters are obtained, and the basic design parameters comprise the conveying capacity, the pipe length, the inlet and outlet temperature and the solid hydrogen content; s2, looking up a table to calculate the density of the slurry hydrogen fluid, and testing yield stress and viscosity parameters of the slurry hydrogen fluid through experiments; s3, calculating the Hertz number, the critical flow nuclear radius ratio and the Bingham Reynolds number of the slurry hydrogen pipeline transportation system; s4, calculating the critical Reynolds number of the slurry hydrogen system in transition from laminar flow to turbulent flow, and carrying out flow state discrimination; the method is established on the basis of the relation among the Van Ning friction resistance factor, the critical Reynolds number and the Hirschner number, a simple and effective calculation method is provided for hydraulic design, equipment model selection, operation management and the like of the slurry hydrogen pipeline, and compared with common flow numerical simulation calculation, complex modeling, grid division and particle dynamics numerical theories are avoided, and the method has the advantages that the method is simple and practical. And the calculation efficiency is effectively improved.

The invention relates to the technical field of particle macro-micro mechanics, in particular to a quantitative analysis method, device and equipment for dynamic heterogeneity of an irregular particle material, and the method comprises the following steps: selecting the irregular particle material, carrying out a triaxial test based on X-ray CT, and obtaining CT slice images of the irregular particle material after deformation at different moments; carrying out image segmentation and three-dimensional reconstruction to obtain a result containing particle numbers and geometric features, and obtaining particle dynamic information through cross-strain state particle matching pursuit; active clusters are identified from the information, geometric information of the active clusters is evolved, cluster space distribution in different strain states is compared, and spatio-temporal evolution behaviors of the active clusters are tracked; and calculating the structure, dynamics and comprehensive indexes of the cluster according to the evolution behavior, determining the dynamic heterogeneity quantitative characterization by using at least one index, outputting and carrying out visual analysis on the dynamic heterogeneity quantitative characterization. Therefore, the problem that dynamic heterogeneity spatio-temporal evolution of irregular particle materials is difficult to quantitatively analyze from the micro-scale in the prior art is solved.

The present application relates to the technical field of powder machines, and in particular to an intelligent control method and system for a powder forming machine. The method comprises: obtaining powder material parameters and mold parameters, wherein the powder material parameters include particle size distribution, yield strength, and friction coefficient, and the mold parameters include mold geometry parameters; performing particle dynamics analysis on the powder material parameters based on the discrete element method to generate particle mechanical motion characteristic data, wherein the particle mechanical motion characteristic data includes particle position data, velocity data, contact force data, and force chain distribution data constructed from the contact force data; performing structural mechanical analysis on the mold parameters based on the finite element method to generate mold macroscopic mechanical response data, wherein the mold macroscopic mechanical response data includes stress distribution data, strain distribution data, and displacement distribution data; and generating powder pressing path control instructions for the mold based on the particle mechanical motion characteristic data and the mold macroscopic mechanical response data.

A numerical prediction method for heat transfer fire (CHF) based on dry spot-dry spot dynamics and conjugate heat conduction includes the following steps: S1: Establishing a functional relationship model between wall superheat and bubble dynamic parameters through regression analysis of experimental data, i.e., the bubble dynamic parameter model; S2: Establishing a dry spot-dry spot dynamic model based on the bubble dynamic parameter model; S3: Establishing a heat transfer boundary condition model based on the distribution characteristics of dry spots-dry spots on the wall and their corresponding thermal resistance characteristics; S4: Simulating the dry spot-dry spot dynamic model established in step 2 using particle dynamics; S5: Constructing a three-dimensional conjugate heat conduction equation, coupling it with the dynamically updated heat transfer boundary condition model established in S3, obtaining the wall temperature and heat flux distribution through numerical solution, and feeding the results back to the bubble dynamic parameter model established in S3; S6: Visualizing the wall temperature and heat flux distribution in S5. This application improves the physical interpretability and reliability of the simulation results.