13 results about "Micro mechanism" patented technology

The utility model relates to a single-drive macro-micro mechanism based on screw drive and a flexible mechanism, belongs to the technical field of precision displacement, and solves the technical problems that in the prior art, a macro-micro two-stage adjusting mechanism is multiple in drive device, complex in structure and high in manufacturing cost. The device comprises a stepping motor, a base, a linear bearing, a through hole cylinder, a circular ring electromagnet, a wedge-shaped ring, a movable circular ring, an inner nut, a connecting piece, a circular plug, an inserting piece, a baffle, a screw, a lead screw and a micro-motion flexible mechanism. The lead screw is driven by the stepping motor to rotate, and rotary motion is converted into linear motion of the inner nut by means of threaded fit of the lead screw and the inner nut, so that macro-motion adjustment is formed. The movable circular ring is attracted by the electromagnet to clamp the through hole cylinder and the base, the through hole cylinder and the base are relatively fixed, displacement input of the flexible mechanism is achieved through movement of the inner nut, and therefore micro displacement is output, and micro adjustment is achieved. According to the mechanism, macro-motion large-stroke adjustment and micro-motion high-precision adjustment can be achieved through single drive.

This invention relates to the fields of materials science and parts forming and manufacturing technology, and discloses a method and system for cross-scale prediction of material mechanical properties. The method includes: acquiring EBSD data of the modeling material; extracting first-class microscale features (crystal orientation, phase distribution) and second-class microscale features (SF, TF, grain size, texture); constructing an RVE model based on the first-class features; embedding the crystal plastic constitutive model for finite element calculation to obtain the macroscopic mechanical response and grain-scale stress-strain distribution; combining the calculated data, selecting at least one feature from the two classes as input to establish a quantitative prediction model for macroscopic mechanical properties; for the target material, acquiring its EBSD data and extracting corresponding features, and applying the model to predict macroscopic mechanical properties. This invention achieves direct quantitative prediction from microscopic mechanisms to macroscopic properties, reducing reliance on large-scale experiments and providing an efficient and reliable tool for materials design and process optimization.

The invention discloses a method for analyzing mechanical properties of a silane coupling agent reinforced copper-prepreg interface, belongs to the technical field of material science, and is suitable for interface combination optimization of a copper foil and a prepreg in a PCB (Printed Circuit Board). The method comprises the following steps: (1) establishing a prepreg and silane coupling agent cross-linked network model; (2) establishing a copper substrate model and carrying out surface treatment; (3) constructing an inorganic-organic composite interface; (4) enabling the cross-linked network to be in full contact with the copper substrate by compressing the script, and optimizing relaxation to be balanced; (5) applying a tensile force through a tensile script, and recording a stress-strain curve; and (6) comparing curves of different coupling agent systems, and analyzing the interface strengthening micromechanism. The method has the advantage of high-throughput screening, multiple systems can be evaluated in parallel within several days, the efficiency is improved by more than one order of magnitude compared with a traditional experimental period (2-4 weeks per kind), actual reagents do not need to be used, and the research and development cost and the environmental risk are reduced.

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 invention relates to the technical field of power systems, and provides a transformer thermal risk temperature prediction method, device and equipment and a storage medium, and the method comprises the steps: obtaining an oil paper insulation system model of a transformer, and extracting the operation state parameters of the oil paper insulation system model; the microscopic conditions of bubble escape under the water content of the insulation paper are obtained through bubble microscopic stress analysis; the microcosmic condition of bubble escape is used for indicating the molecular density of critical gas of bubble escape; molecular simulation calculation is carried out, and when the number of simulated pyrolysis gas molecules reaches the molecular density of critical gas for bubble escape, the temperature at the corresponding moment is determined as the macroscopic bubble starting temperature under the water content of the insulation paper. According to the method, the effect of predicting the bubble generation critical temperature under any moisture based on digital simulation of a micromechanism can be achieved, the overheating risk of the transformer is accurately predicted, and technical support is provided for promoting intelligent evaluation and intelligent detection of the operation state of power equipment and digital transformation of risk early warning.

The present application belongs to the technical field of flow seismic wave prediction, and particularly relates to a method for predicting macro-micro double-scale flow dispersion and attenuation, which comprises the following steps: S1: geometric model construction: constructing a digital model according to the size of a rock sample; S2: grid division: a. fine grid at positions representing fluid pipelines; b. coarse grid at other positions; S3: control equation: combining the pore elasticity theory of Zimmerman with the equivalent medium model of micro-scale to construct a control equation for describing macro-micro scale flow; S4: boundary condition: the side boundary and the cross-section position except the pipeline of the entire rock sample are free of fluid outflow, and the cross-section of the fluid pipeline at the upper and lower boundaries of the rock has fluid outflow. The present application can overcome the shortcoming that the low-frequency limit of the traditional method BISQ does not satisfy the Gassmann equation, directly couples the micro mechanism in the macro mechanism, and provides a simple method for describing the double-scale flow dispersion mechanism.

This invention discloses a layered design method for snow surface overlay on ice-structured load-bearing structures, relating to the field of ice and snow engineering technology. The method includes the following steps: S1, determining the design constraints and performance indicators of the snow surface overlay based on target working conditions and environmental data; S2, obtaining the microstructural parameters of the snow material to be laid, including initial porosity, ice crystal size distribution, coordination number, and contact geometry. This invention establishes a cross-scale mechanical performance evolution model to accurately capture the microscopic mechanisms of ice crystal sintering, particle creep, and fatigue damage of snow material under long-term load and temperature, solving the problem of performance prediction deviations caused by the inability of existing macroscopic models to reflect microscopic evolution. By constructing a quantitative mapping relationship between microstructural parameters and macroscopic mechanical properties, combined with thermo-coupling load history simulation, accurate performance evolution data of the overlay can be obtained.

The application discloses a kind of porous medium nanofluid enhanced CO2 flooding micro flow simulation methods, it is related to the technical field of oil and gas exploitation.The application constructs oil phase-rock wall wetting system model based on molecular dynamics simulation method, obtains the dynamic change process of rock wall wetting angle under the influence of oil phase and their interaction parameters after simulation, the micro flow model of multiphase fluid constructed based on lattice Boltzmann method is coupled with the micro dynamics model of nanoparticle constructed based on Langevin kinematics method, the random force, viscous resistance, electrostatic repulsion and van der waals force of nanoparticle are comprehensively considered, the nanoparticle-fluid two-way coupling model is obtained, the influence of nanofluid enhanced CO2 flooding on heterogeneous porous medium recovery efficiency is simulated and verified, the micro mechanism of nanofluid and CO2 synergistic enhanced oil displacement is revealed, and technical support is provided for nanofluid material preparation and CO2-nanofluid displacement production parameter optimization.

The invention provides a high-entropy alloy creep performance prediction method based on microstructure dynamic evolution, and belongs to the technical field of alloy material performance prediction. In order to solve the problems that an existing method excessively depends on an empirical formula, and macroscopic performance is separated from a micromechanism, a multi-physics field coupling dynamics calculation framework is constructed. The framework integrates dislocation dynamics, vacancy diffusion and a non-uniform lattice strain theory, and dynamic interaction and co-evolution of dislocation, vacancy and lattice strain are described in a self-consistent manner. Dislocation evolution, vacancy diffusion and interaction between the dislocation evolution, the vacancy diffusion and lattice strain are synchronously solved in each time step, and real-time bidirectional coupling of the dislocation evolution, the vacancy diffusion and the lattice strain is achieved. Experimental verification shows that the method can accurately predict the creep property of the high-entropy alloy and directly generate a creep strain-time curve. According to the method, microstructure evolution in the creep process can be quantified from intrinsic parameters and service conditions of materials, and an efficient theoretical tool and a calculation platform are provided for creep resistance design of the high-entropy alloy.

The application discloses a kind of local vortex structure quantitative analysis methods for optimizing the performance of biomimetic submersible, belong to underwater biomimetic robot technical field.The method of the present application comprises, first based on the numerical calculation of flow field is carried out based on the immersed boundary method, obtains overall flow field data;Then according to the geometric characteristics and function of biomimetic body Preset division local analysis area;Finally, the contribution of each area to overall hydrodynamic force is calculated using quantitative formula based on vortex dynamics.The method solves the problem that the existing technology has space dimension reduction, grid is not suitable for large deformation motion and cannot complete time-varying analysis, quantifies the contribution of local vortex structure of key parts to water power at each moment, establishes the quantitative space-time mapping relationship between local vortex structure and stress, realizes the quantitative connection from flow field micro mechanism to engineering optimization design, provides accurate and reliable quantitative analysis tool and decision basis for deep understanding of biological propulsion mechanism and implementation of targeted performance optimization of biomimetic submersible.

The invention provides an asphalt pavement microparticle generation simulation method based on molecular dynamics, belongs to the technical field of road traffic environments, and solves the problems that the interaction behavior of a tire and an asphalt pavement cannot be analyzed from the molecular level and a micromechanism generated by microparticles in the friction process cannot be revealed in the prior art. By means of a molecular dynamics simulation method, firstly, a modified asphalt molecule, tire rubber molecule and aggregate base model is built, and after the reasonability is verified, a three-layer interface contact model is built; after energy optimization, friction simulation is carried out through a Confined Shear task under a set working condition, and a micromechanism generated by microparticles is systematically revealed by analyzing conditions such as system energy change, atom motion trail and chemical bond fracture. The method breaks through the limitation of a traditional macroscopic test, reveals a microparticle generation mechanism from a microcosmic angle, and provides a theoretical basis for developing environment-friendly low-wear asphalt pavement materials and tires and controlling pavement microplastic pollution from the source.

The application discloses a kind of molecular dynamics simulation methods of NbMoTaW multi-main element alloy mechanical properties.The method is first constructed to describe Nb-Mo-Ta-W four-element system machine learning potential function, based on this, alloy atomic model is established and thermodynamic relaxation is carried out;Subsequently, the model is simulated by mechanical loading, and the stress-strain response and atomic trajectory are recorded;Finally, macro mechanical parameters are extracted, and the microdeformation mechanism such as dislocation movement is analyzed.The application overcomes the defects of inaccurate simulation of multi-element alloy by high-precision potential function and standardized process, can efficiently predict its mechanical properties and reveal micro mechanism, and provides theoretical guidance for alloy design.

The invention relates to a GIS contact finger spring simulation service test method based on a Joule thermal effect. The method comprises the following steps: preprocessing a spring; the pretreated sample is installed in a sample chamber of a Joule heat tester, and the two ends of the spring are clamped to the cathode and the anode of the tester; according to the testing method, Joule heat is generated by directly electrifying the spring, the electric-thermal coupling state of the spring in operation is truly reproduced, and resistance dynamic monitoring, temperature field recording, accelerated life testing and microstructure analysis are combined, so that full-chain evaluation from macroscopic performance to micromechanism is realized; the problem that electrical performance, mechanical life and material analysis are mutually separated in a traditional method is solved.