53 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 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 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 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 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 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 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 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.

The application discloses a large-scale neutral-macroscopic dynamics-microscopic dynamics coupling numerical simulation method based on a plasma statistical physics theory and relates to the technical field of plasma physics research, and comprises the following steps: step 1, obtaining initial physical variables; step 2, performing numerical discrete processing on the initial physical variables to obtain average flow field information on a neutral scale; step 3, performing macroscopic dynamics coupling processing on the average flow field information to obtain an intermediate result after coupling; step 4, performing local refinement processing on the intermediate result after coupling by using a microscopic dynamics numerical discrete method to obtain a refined particle dynamics simulation result; step 5, comprehensively processing the average flow field information, the intermediate result after coupling and the refined particle dynamics simulation result by using a cross-scale coupling algorithm to obtain a cross-time-space coupling numerical simulation result; and step 6, outputting the numerical simulation result and analyzing the evolution law of a solar electromagnetic storm or corresponding plasma dynamic behavior.

The invention provides a GIS particle dynamic tracking method based on singular constraint manifold and multi-physics field coupling, and relates to the technical field of state monitoring and fault diagnosis of high-voltage electrical equipment. The method comprises the following steps: firstly, carrying out physical parameter offline calibration, and calibrating a collision recovery coefficient e and a vibration attenuation coefficient zeta; the method comprises the following steps: constructing a singular constraint matrix K representing intrinsic physical constraints on the basis of a geometric topological structure of a GIS true experiment cavity, space coordinates of a multi-modal heterogeneous fidelity sensor array and offline calibrated physical parameters; then, an acoustic-magnetic composite particle control unit is utilized, particles are driven in a GIS true experiment cavity, a multi-mode heterogeneous fidelity sensor array collects signals caused by particle movement in real time, a positioning algorithm based on singular constraint manifold fusion is designed, the particle positioning problem is converted into a positioning optimization problem, the positioning optimization problem is solved, and a positioning result is obtained. And obtaining a three-dimensional motion trail of the particles.

The application discloses a rock damage and failure smooth molecular dynamics analysis method. The application combines particle failure with rock numerical damage simulation to construct a new rock damage numerical simulation mode. The particle discrete principle of the material point method is used to discretize the calculation material domain. The calculation domain is discretized into particles by using software such as ANSYS. The particles in the calculation domain are endowed with certain material properties. The Mohr-Coulomb criterion commonly used in rock mechanics is used as the failure criterion. When the material reaches the failure condition, the particles are subjected to failure treatment. The failed particles will be permanently failed. The method is simple and easy to implement. The high efficiency and stability of GIMP itself are utilized. The gradual damage and failure process of the rock is simulated by the failure process of the particles. The whole process of the rock damage and failure can be obtained. The research provides a certain reference for the understanding of the smooth particle dynamics method in rock damage numerical simulation.

The invention relates to the technical field of computers, in particular to an intelligent regulation and control method and system for lepidolite concentrate disc granulation granularity, and the method comprises the following steps: obtaining particle dynamic image frames and aligning a rotation time period, extracting a wetting change direction and a continuous section, switching an auxiliary channel to intermittent injection, and extracting an angular velocity and particle size coarsening numbering section. And sending a rotating speed adjusting instruction, and tracking contour change to extract a continuous numbering result. According to the method, a closed-loop system driven by machine vision monitoring, multi-source data fusion and reinforcement learning is constructed, a particle image and roller rotation relation is combined, wetting change and particle distribution are traced, a continuous section is identified, and a liquid supply rhythm is switched, so that liquid spraying intervention and material waste are reduced, and reinforcement learning is linked to adjust multiple parameters; a control instruction is sent by tracking the particle size change direction, rotation speed and binder adjustment are planned as a whole, particle size stability is promoted, response and operation stability under the extreme working condition is enhanced, the particle size qualification rate is increased, and target energy consumption is reduced.

The application provides a two-phase flow simulation method and device for an aluminum-containing solid-liquid rocket engine, and relates to the technical field of rocket simulation, and comprises the following steps: in a current simulation time period, attribute parameters of aluminum-containing fuel in the aluminum-containing solid-liquid rocket engine and historical simulation results of a previous simulation time period are obtained; based on the attribute parameters and the historical simulation results, a combustion process of aluminum particles in the aluminum-containing fuel and a particle size evolution process of aluminum oxide smoke generated by the combustion of the aluminum particles are simulated respectively, so that particle dynamics parameters and smoke dynamics parameters are obtained; the particle dynamics parameters and the smoke dynamics parameters are processed, so that interphase exchange characteristics of the aluminum-containing solid-liquid rocket engine are obtained; and the particle dynamics parameters, the smoke dynamics parameters and the interphase exchange characteristics are determined as simulation results of the current simulation time period. The application can continuously and recursively simulate the two-phase flow and phase change process in the combustion chamber of the aluminum-containing solid-liquid rocket engine.

The invention discloses an electromagnetic sensor signal analysis method and system based on real abrasive particle dynamic trajectory and time-harmonic field intensity coupling, and belongs to the field of mechanical equipment state monitoring and sensor simulation. The method comprises the following steps: firstly, based on a CFD-DEM coupling theory, combining abrasive particle multi-physical field stress, and accurately reconstructing a real three-dimensional dynamic track in a complex flow field of a lubricating oil pipeline; and establishing a three-dimensional time-harmonic magnetic field analysis model based on magnetic vector potential and a modified Bessel function, constructing a dynamic mapping relation between the transient position of the abrasive particles and a non-uniform magnetic field, quantifying the disturbance characteristic of the abrasive particle eddy current to the magnetic field, and solving the transient response of the sensor induced electromotive force. Abrasive particle size, material conductivity and magnetic conductivity parameter correction are fused, simulation distortion caused by a simplified motion model and neglect of radial magnetic field difference in a traditional theory is overcome, and high-precision prediction of dynamic signals of the whole process that the abrasive particles pass through the sensor is achieved. The method is suitable for health monitoring of aero-engines and industrial gearboxes.

The invention relates to the technical field of biological medicine, and discloses a lung targeting mRNA delivery construction method based on particle size control, which comprises the following steps: selecting a nano carrier material with biocompatibility and adjustable property; designing and modifying the nano-carrier material, and endowing the nano-carrier material with specific functional groups; and establishing a mathematical physical model, calculating the deposition behavior of the particles in the airflow based on fluid mechanics and particle dynamics theories, and calculating the deposition efficiency of the particles in the lung according to the particle size. The micro-fluidic technology and the temperature and pH response type polymer are combined, the particle size is accurately adjusted, the particle size can be controllably changed in different physiological environments, and the precision and flexibility of particle size distribution are improved. Adaptive optimization is carried out through simulated annealing and a genetic algorithm, lung deposition, cellular uptake and carrier stability are comprehensively considered, and the delivery efficiency is maximized. The model established by combining fluid mechanics and particle dynamics theories optimizes the relationship between the particle size and the cellular uptake efficiency.