18 results about "Coupling equation" patented technology

The invention relates to the technical field of semiconductor photoelectronics, and discloses a multi-physics field coupling silicon-based optical interconnection chip degradation model construction method and application, and the method comprises the steps: firstly constructing a multi-physics field coupling analysis model, and quantitatively representing the coupling relation of thermodynamics, optics, electricity and material aging through an inter-field coupling equation and a material aging dynamic model; simulating field distribution of a chip key area under multi-environment stress through finite element analysis, and extracting data; then historical degradation data is collected by combining an accelerated aging test and long-term operation monitoring, and a degradation parameter prediction model is established after data processing based on machine learning; and finally, inputting a finite element result and a prediction result into a material aging dynamic model, and finally forming a multi-physics field coupling degradation model. The problems that the prior art depends on a single physical field, degradation mechanism analysis is incomplete, and service life evaluation is inaccurate are solved, and support can be provided for reliability evaluation, structure optimization and service life prediction of the silicon-based optical interconnection chip.

The invention relates to a large-size CCD mounting process optimization method, and belongs to the technical field of semiconductor packaging. The method comprises the following steps: selecting a proper conductive adhesive according to the size of a to-be-mounted CCD (Charge Coupled Device); establishing a coverage rate glue overflow coupling equation based on the power law rheological equation, the contact pressure and the geometric constraint, and calculating conductive glue parameters; obtaining a gluing shape according to the size of the CCD and the obtained parameters of the conductive adhesive, and coating the CCD with the conductive adhesive according to the gluing shape to complete surface mounting; and testing the surface-mounted CCD, and judging whether the surface-mounted CCD meets the requirements or not. According to the invention, the problems of insufficient glue coverage rate, excessive glue size, non-uniform edge glue overflow and the like are solved, a universal mounting process optimization scheme suitable for glue with different sizes and different viscosities is realized, and a standardized basis is provided for subsequent large-size CCD gluing design.

The application relates to the field of power distribution system simulation, in particular to a distributed power distribution system unified scale load modeling simulation method and system, which comprises the following steps: denoising and fitting a wideband signal to obtain a multiscale signal; obtaining a Hankel matrix time-varying extended model based on the multiscale signal and historical modal parameters and solving to obtain real-time modal parameters; constructing a coupling matrix based on the real-time modal parameters, fitting a fast action layer state equation and a slow action layer state equation by using the coupling matrix to obtain a unified coupling equation; transforming and decoupling the unified coupling equation to obtain a mixed differential-algebraic equation group; and solving the mixed differential-algebraic equation group by using a preset step length switching rule based on a dominant dynamic type to obtain full-time domain simulation results of the distributed power distribution system. The application can effectively solve the problems of time scale fragmentation and insufficient parameter identification accuracy in traditional load modeling.

The application relates to a simulation method and device of a double-break circuit breaker, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: establishing a geometric model and a circuit model of the double-break circuit breaker; based on the circuit model, a coupling equation set is established; based on the geometric model, the operating parameters of the double-break circuit breaker are calculated; according to the operating parameters of the double-break circuit breaker, the coupling equation set is iteratively solved to obtain the physical field distribution of the double-break circuit breaker; actual measurement data of the double-break circuit breaker are acquired, the physical field distribution of the double-break circuit breaker is compared with the actual measurement data, and a simulation deviation is obtained; in the case that the simulation deviation is greater than a preset threshold, the operating parameters of the double-break circuit breaker are corrected, the step of iteratively solving the coupling equation set according to the operating parameters of the double-break circuit breaker is returned and continued to be executed until a first preset condition is reached. The method can improve the simulation efficiency.

The application provides a road roller-layered filler three-dimensional coupling regulation method and system, relates to the roadbed compaction technical field, and comprises the following steps: acquiring vibration wheel data, calculating vibration force based on the vibration wheel data; acquiring steering lag angle data, calculating shear force based on the steering lag angle data; acquiring road roller speed data, calculating moving force based on the road roller speed data; constructing a layered stress coupling equation based on the vibration force, the shear force and the moving force; obtaining the stress state of each measuring point based on the layered stress coupling equation; performing frequency domain analysis or time domain integration on the stress state of each measuring point to obtain the corresponding effective dynamic stress; and calculating the target vibration frequency, the target moving speed and the target steering angle based on the effective dynamic stress. Through multi-dimensional dynamic sensing and space-time coupling model, the application quantifies the road roller movement and filler response in real time, overcomes the limitations of traditional methods relying on a single parameter and offline detection, and greatly improves the compaction degree evaluation accuracy.

This invention relates to the field of materials testing technology and discloses a simulation method for coating performance based on high and low temperature cycling and prestress loading. By acquiring measured operating data of pipes or components, a composite geometric model of the coating substrate containing microporous structures is constructed. Surface roughness and interface curvature characteristics are quantified using reverse engineering. A dynamic temperature-pressure coupling equation is generated based on the thermal expansion effect of high-pressure media. The microporous optical load is converted into an equivalent heat flux density using a ray tracing algorithm. The transient boundary conditions of the temperature and stress fields are correlated. The crack initiation path is simulated using the extended finite element method. The lifetime decay curve is predicted using the Paris formula. Material parameters are dynamically corrected based on experimental data to generate a multi-parameter collaborative optimization model. This invention solves the problems of distorted interface stress assessment and lifetime prediction bias under composite loading, providing multi-physics collaborative simulation support for optimizing the compressive strength performance of coatings.

The invention provides a hydraulic system coupling flow calculation method and system, and the method comprises the steps: firstly building a pump-valve-load coupling dynamic model, and obtaining a flow-pressure-temperature coupling equation; pressure, flow and temperature signals are collected in real time and preprocessed; then carrying out dynamic estimation on the flow based on an extended Kalman filter; and finally, compensating an estimation error through a residual feature fusion inversion network, and outputting a high-precision coupling flow value. Experiments show that the maximum relative error is reduced from + / -7.8% to + / -1.3% under the working condition of the step of 0-25 MPa, the fluctuation quantity is reduced by 62% when the oil temperature drifts at 40-80 DEG C, the time consumed by single calculation is less than 0.8 ms, and the method can be widely applied to high-dynamic complex working conditions of engineering machinery, aviation hydraulic pressure and the like.

The invention provides a deep rock hydraulic coupling constitutive model and finite element simulation method. The method comprises the steps that a first relation is determined according to the equivalent bulk modulus of a multiphase medium composite material; determining a second relationship according to the multiphase medium deformation coordination relationship; constructing a coupling equation based on the first relation and the second relation; obtaining a yield criterion and a flow rule according to a Drucker-Prager criterion; obtaining a plastic multiplier according to a consistency principle and a flow rule, and updating the stiffness matrix according to the plastic multiplier; determining coupling equation model parameters through a deep rock mechanical hydraulic coupling test; and performing language writing on the coupling equation through a programming language to obtain a finite element model. According to the method, the dynamic coupling effect among the porosity, the water pressure and the stress environment is quantified, the programming language is combined, secondary development of a finite element algorithm is achieved, and the safety of engineering design and the reliability of safety evaluation are improved.

The invention relates to the technical field of distributed driving hovercars, and discloses a physical and data hybrid driving distributed driving hovercar multi-physics field coupling modeling method, which comprises the following steps of: establishing a multi-degree-of-freedom physical model based on a chassis structure and mechanical characteristics of a distributed driving hovercar; the multi-physical field coupling effect of wheel-ground contact force, aerodynamic load and rotor lift force is fused; a multi-actuator coupling equation is established, and dynamic behaviors of the hovercar in the take-off, flight and landing processes are accurately simulated; the method comprises the following steps: acquiring operation data acquired by an aerocar sensor, preprocessing the data, filtering noise data, and removing invalid data in combination with a physical model; and designing a data-driven model to train the data, embedding physical constraints in the process to improve the training quality, obtaining trained model parameters, and completing the physical-data hybrid-driven modeling process. According to the method, the precision and generalization ability of the model are remarkably improved, the defects of poor adaptability of pure physical modeling and insufficient physical consistency of a data-driven model in the prior art are overcome, and dynamic behaviors of the hovercar in complex flight modes such as takeoff, cruise, hovering and landing can be accurately described.

The application discloses a design method of a controller, equipment and a storage medium, relates to the technical field of underactuated electromechanical systems, and comprises the following steps: determining a coupling signal according to the coupling relationship between trolley displacement and load swing angle; determining a spatial state coupling equation between the trolley displacement and the load swing angle according to the coupling signal, a preset trolley ideal track and matching disturbance received by the trolley; constructing a hierarchical sliding mode surface according to the spatial state coupling equation in combination with a hierarchical sliding mode control method; and determining a driving force equation according to the hierarchical sliding mode surface in combination with a non-negative Lyapunov candidate function, wherein the controller is used for controlling the driving force size of the trolley according to the driving force equation. The application improves the robust performance and transient performance of the controller of the underactuated electromechanical system.

The invention provides a road roller-layered filler three-dimensional coupling regulation and control method and system, and relates to the technical field of roadbed compaction, and the method comprises the following steps: obtaining vibration wheel data, and calculating vibration force based on the vibration wheel data; acquiring steering lag angle data, and calculating shear force based on the steering lag angle data; acquiring speed data of the road roller, and calculating moving power based on the speed data of the road roller; constructing a layered stress coupling equation based on the vibration force, the shear force and the moving force; obtaining the stress state of each measurement point based on a layered stress coupling equation; performing frequency domain analysis or time domain integration on the stress state of each measurement point to obtain corresponding effective dynamic stress; and calculating a target vibration frequency, a target moving speed and a target steering angle based on the effective dynamic stress. Through the multi-dimensional dynamic perception and space-time coupling model, the road roller motion and filler response is quantified in real time, the limitation that a traditional method depends on a single parameter and off-line detection is overcome, and the compaction degree evaluation precision is greatly improved.

The application discloses a PIN diode modeling and simulation method based on LP-CDI-FDTD, belongs to the field of computational electromagnetics, microwave technology and circuit simulation, and comprises the following steps: firstly, an equivalent lumped parameter model of a semiconductor device is established, and a voltage-current relationship thereof is obtained; then, the relationship is converted into an equivalent current density, and is embedded into a Maxwell curl equation according to the relationship between an electric field and a voltage, so as to construct an electromagnetic-circuit coupling equation set; further, a leapfrog compliant divergence unconditional stable time domain finite difference method is adopted to discretize the coupling equation set, and a discrete updating equation is obtained; finally, iterative calculation is carried out according to the equation, and electromagnetic fields and device states are synchronously updated. The method realizes the inherent strong coupling between full-wave electromagnetic fields and semiconductor physical processes, and breaks through the time step restriction caused by a CFL condition in traditional methods by using the unconditional stability of the algorithm, so that the calculation efficiency can be significantly improved when simulating a device containing a fine structure.

The invention discloses a multi-scale coupling modeling method for an adiabatic axial fixed bed reactor, and relates to the field of chemical process modeling and reaction engineering.The modeling method comprises the following steps that S1, a three-level basic structure unit is constructed; s2, establishing a physical-chemical coupling calculation model; s3, embedding wide modulus parameter dynamic adaptation logic; s4, acquiring micro-scale reaction kinetic parameters, mesoscale transfer characteristic parameters and macro-scale equivalent performance parameters; s5, establishing a diffusion-reaction coupling equation of a single catalyst particle, and obtaining a comprehensive reaction-transfer parameter of the particle size; s6, establishing a macroscopic coupling model, describing a flow process in the reactor, and realizing cross-scale real-time coupling calculation of flow-diffusion-reaction-heat transfer; and S7, based on a cross-scale real-time coupling calculation result, extracting target performance parameters of the whole reactor. According to the method, the prediction precision of the model is improved, reactor hotspot control and safety production are effectively served, and the stability of industrial production is guaranteed.

The invention belongs to the technical field of acoustics, and relates to a coupling modeling method and device of a shell-cavity system and a readable storage medium. Carrying out stress analysis on the shell-cavity system to construct a numerical model of the shell-cavity system; based on a second Fourier series in a two-dimensional form, constructing a vibration displacement item of the shell domain; constructing an intracavity sound pressure item of the cavity domain based on the first Fourier series in the three-dimensional form; substituting the vibration displacement item of the shell domain and the intra-cavity sound pressure item of the cavity domain into the numerical model of the shell-cavity system to obtain a target numerical model; constructing a coupling work equation between the cavity domain and the shell domain based on a work item of the cavity domain to the shell domain; based on the target numerical model and the coupling work equation, constructing a lagrangian functional of the shell domain and the cavity domain under the coupling state of the shell domain and the cavity domain; and converting the Lagrange functional of the shell domain and the Lagrange functional of the cavity domain into a first matrix equation and a second matrix equation, and carrying out simultaneous operation on the first matrix equation and the second matrix equation to obtain a coupling equation of the shell-cavity system.

The invention relates to the technical field of mold design and manufacturing, and discloses a mold flow behavior virtual simulation design system integrating multi-field characteristics, which comprises a multi-modal data acquisition module, a multi-field coupling simulation module, a material gene spectrum library, an intelligent optimization engine module and a physical verification closed loop module, by arranging a multi-modal data acquisition module, a multi-field coupling simulation module, an intelligent optimization engine module and a physical verification closed loop module, interaction between a temperature field and a stress field of a mold can be dynamically simulated through a thermal-force coupling equation, so that error accumulation of traditional separated simulation is avoided; the coupling effect of melt flow and mold deformation is predicted through a fluid-solid coupling equation to solve the problem of flow instability in traditional single-field simulation, and millimeter-scale and micron-scale cross-scale correlation is achieved by coupling a thermal field and a flow field and coupling a force field and a thermal field. Error accumulation of traditional separated simulation is avoided through a thermal-mechanical coupling equation and a fluid-solid coupling equation.

The invention relates to the technical field of special buildings, and provides an embedded fusion energy storage method integrated with a building wall and a wall type energy storage system. Based on the building information and the energy storage information, constructing a coupling equation of a multi-physical field, and determining a target wall body area in which an energy storage module can be embedded by iteratively solving the coupling equation; constructing a wall stress distribution cloud picture and a nonlinear thermoelectric coupling model based on the target wall area and the building information, and determining layout information of the energy storage module by optimizing the thermoelectric coupling model; and generating an operation strategy of the energy storage module based on the building information and the layout information of the energy storage module. Compared with the prior art, the embedded positions of the energy storage modules meet the bearing capacity and thermal stability requirements of the wall structure at the same time, electrical performance and thermal management requirements are coordinated, and reasonable layout is ensured; finally, the energy storage behavior is dynamically regulated and controlled according to the building load characteristics, and safe and stable fusion of efficient energy utilization and building integration is achieved.

The invention discloses an optical MEMS micromirror chip electricity-force multi-physics field coupling analysis method based on an FDTD algorithm, and relates to an MEMS micromirror chip, and the method comprises the steps: building a geometric model of a three-dimensional MEMS micromirror chip, and carrying out the parameter setting, boundary condition setting and mesh generation of the geometric model; constructing an electricity-force coupling equation based on the geometric model of the three-dimensional MEMS micromirror chip after grid division; wherein the electricity-force coupling equation comprises an electrostatic field equation, a passive field Poisson equation, an electric field stress tensor equation and a mechanical motion equation; and solving the electricity-force coupling equation by using a time domain finite difference algorithm to obtain various physical parameters in the electricity-force coupling equation, and obtaining the deflection angle and the internal stress change of the three-dimensional MEMS micromirror chip according to the physical parameters. According to the method, the dynamic deflection angle and the internal stress change of the three-dimensional MEMS micromirror chip evolved along with time under voltage loading can be quickly and accurately calculated.

The invention discloses a running-in process identification method based on friction electric signals, which comprises the following steps: acquiring friction time sequence electric signals in the friction process of different metal friction pairs under a running-in working condition based on a friction electrification system coupling equation set; obtaining running-in data corresponding to the friction time sequence electric signal based on a probability density function; taking the friction time sequence electric signals as characteristic data, and taking the corresponding friction time sequence electric signal running-in data as data labels to obtain a data set so as to obtain a running-in process identification model; and on the basis of a running-in process identification model, performing running-in process identification on the preprocessed time sequence electric signal, and further determining a wear transformation moment between a running-in wear stage and a stable wear stage according to an identification result. The problem that the existing running-in process identification method has factors such as high system complexity, insufficient signal reliability or difficulty in continuous monitoring in engineering scenes such as ship power devices which are limited in space, complex in working condition and need for long-term online operation, so that the running-in process identification precision and efficiency are low is solved.