11 results about "Three dimensional microstructure" patented technology

The invention relates to the field of numerical simulation, in particular to a porous ceramic model reconstruction and filtering performance simulation method, which comprises the following steps of: S1, obtaining internal structure image data of a ceramic material through micro-CT (Computed Tomography) scanning with micron-level resolution, and reconstructing a real three-dimensional microstructure of the ceramic material; s2, performing REV extraction and dynamic processing on the three-dimensional geometric model generated in the S1; s3, establishing a flow field model on the CFD, and setting corresponding boundary conditions; s4, the DPM is started, a particle injection source is configured, and particle physical parameters are set; s5, bidirectional coupling solution is executed, and high-precision particle motion and deposition process simulation is achieved; and S6, extracting simulation result data, and if the difference between the simulation result and the reference value exceeds a preset threshold value, returning to S4 and / or S5 to carry out parameter adjustment and model correction. According to the method, effective prediction of the particles in the porous structure can be realized.

This invention relates to a method for measuring the dielectric constant of fibers. The method includes the following steps: First, composite material and pure matrix samples are prepared, and the reflection loss curve of the composite material and the complex dielectric constant of the matrix are measured in the 1-18 GHz frequency band. Second, a realistic three-dimensional microstructure model of the composite material is reconstructed using micro-CT scanning. Then, an electromagnetic simulation model is established based on this model, and an initial complex dielectric constant is assigned to the fiber for simulation to obtain the simulated S11 parameter. Finally, by iteratively adjusting the complex dielectric constant of the fiber, the root mean square error between the simulated S11 curve and the measured reflection loss curve is minimized, thereby retrieving the actual complex dielectric constant of the fiber. This invention avoids theoretical model errors, directly correlates the macroscopic properties and microscopic parameters of materials, and has the advantages of high accuracy and wide applicability, providing a reliable parameter acquisition method for the design and optimization of the electromagnetic properties of composite materials.

The application provides a method and device for soil microstructure dataset construction, and relates to the technical field of land resources and environment, and the method comprises the following steps: scanning a soil sample by using XCT to obtain a scanning image; generating a three-dimensional microstructure image of the soil based on the scanning data; extracting soil pore structure in the three-dimensional microstructure image of the soil, calculating soil pore related parameters based on the soil pore structure, and performing network analysis on the soil pore structure to generate network analysis related parameters of the soil pore structure; determining soil permeability according to the soil pore structure; generating a two-dimensional image stack based on the three-dimensional microstructure of the soil, and calculating soil morphological parameters and soil organic matter content based on the two-dimensional image stack. The three-dimensional microstructure of the soil is obtained by scanning through XCT, the soil microstructure dataset is generated based on the three-dimensional microstructure of the soil, and compared with the traditional soil structure research method, the application has the characteristics of nondestructive testing and high resolution.

The invention provides a heating cigarette microstructure optimization method and device based on QSGS and LBM coupling. The method comprises the following steps that a heating cigarette three-dimensional microstructure model with the target porosity is constructed based on a QSGS method; an LBM is adopted to establish a computational domain, and numerical simulation analysis is carried out on the fluid flow state, heat transfer and aerosol diffusion process in the heated cigarette three-dimensional microstructure model; based on association rules of growth probability, neighborhood dependency, cluster connectivity and directivity in the QSGS and LBM simulation results, parameters of the QSGS are iteratively adjusted until performance indexes are met, and the performance indexes comprise target permeability and heating uniformity; wherein the heating uniformity is quantified by analyzing the standard deviation or the maximum temperature difference of the temperature distribution field of the three-dimensional space in the heated cigarette, which is calculated in the LBM simulation heat transfer process. According to the technical scheme, the heating cigarette microstructure optimization method is achieved through coupling of the QSGS and the LBM.

The invention provides a reverse design method and device for a material structure, equipment and a storage medium, and relates to the field of material design. Constructing a three-dimensional feature vector matrix of the sample material; the three-dimensional feature vectors in the matrix are used for representing the three-dimensional microstructure features of the sample material. And extracting macroscopic performance parameters of the sample material, and taking the macroscopic performance parameters as model condition information. And forming a training data pair by using the three-dimensional feature vector and the model condition information. And carrying out iterative training on the conditional diffusion model by utilizing the training data pair until a training ending condition is reached, thereby obtaining a target conditional diffusion model. And inputting the target macroscopic performance parameters into the target condition diffusion model to obtain a target three-dimensional microstructure meeting target macroscopic performance parameter conditions. The three-dimensional microstructure of the material can be reversely designed according to the required performance, the material development efficiency is improved, and the development cost is reduced; and the designed structure can more accurately meet the required performance requirements, and is more suitable for the real process.

A kind of material surface three-dimensional microstructure topography acquisition method, comprising: using OCT system to sample scanning, acquisition three-dimensional interference spectrum signal, obtain the complex signal containing sample structure information and three-dimensional OCT image;All B-scan images in three-dimensional OCT image are extracted material surface profile, remove material base and noise signal, extract the phase information of complex signal, generate phase difference image;Finally realize the acquisition of material surface three-dimensional microstructure topography.The advantages and beneficial effects compared with prior art of the present application are: simple and efficient, can quickly realize the non-contact three-dimensional imaging of micron level and nanometer level microstructure of arbitrary curved surface or planar material surface, obtain material surface three-dimensional microstructure topography, save computing resources.

The invention discloses a lithium ion battery negative electrode microstructure modeling method and device, a medium and equipment, and relates to the field of lithium ion batteries, and the method comprises the following steps: imaging a negative electrode material of a lithium ion battery to obtain structural information of the negative electrode material; according to the structural information of the negative electrode material, extracting geometrical characteristics of particles and pores in the structural information, performing morphological analysis on the extracted geometrical characteristics, and determining particle morphology and pore distribution; performing coordinate transformation on each particle based on particle morphology and pore distribution in a reconstruction calculation domain, randomly generating an additive on the surface of the particle or around the pore until a preset porosity is reached, and generating a plurality of two-dimensional microstructure slice images reflecting the microstructure characteristics of the negative electrode material by combining a numerical reconstruction technology; and performing three-dimensional Gaussian blur processing on the plurality of two-dimensional microstructure slice images, and converting the two-dimensional microstructure slice images into a three-dimensional microstructure model used for describing the microstructure of the negative electrode material in combination with a visualization technology.

This application provides a method, apparatus, device, and storage medium for reverse design of material structures, relating to the field of materials design. A three-dimensional feature vector matrix of the sample material is constructed; the three-dimensional feature vectors in the matrix are used to characterize the three-dimensional microstructure features of the sample material. Macroscopic performance parameters of the sample material are extracted and used as model condition information. The three-dimensional feature vectors and model condition information are used to form training data pairs. The conditional diffusion model is iteratively trained using the training data pairs until the training termination condition is met, resulting in the target conditional diffusion model. The target macroscopic performance parameters are input into the target conditional diffusion model to obtain the target three-dimensional microstructure that satisfies the target macroscopic performance parameter conditions. This method enables the reverse design of the three-dimensional microstructure of materials based on required performance, improving material development efficiency and reducing development costs; moreover, the designed structure can more accurately meet the required performance requirements and better fit the actual process.

The invention provides a method and device for constructing a soil microstructure data set, and relates to the technical field of land resources and environment, and the method comprises the steps: scanning a soil sample through XCT, and obtaining a scanning image; generating a soil three-dimensional microstructure image based on the scanning data; a soil pore structure in the soil three-dimensional microstructure image is extracted, pore throat analysis is performed based on the soil pore structure to calculate soil pore related parameters, network analysis is performed on the soil pore structure, and network analysis related parameters of the soil pore structure are generated; determining the soil permeability according to the soil pore structure; generating a two-dimensional image stack based on the three-dimensional microstructure of the soil, and calculating to obtain morphological parameters and organic matter content of the soil based on the two-dimensional image stack. The soil three-dimensional microstructure is obtained through XCT scanning, the soil microstructure data set is generated based on the soil three-dimensional microstructure, and compared with a traditional soil structure research method, the method has the advantages of nondestructive testing, high resolution and the like.

The invention provides a method for realizing reversible patterning on the surface of a polymer microsphere, and belongs to the technical field of high polymer material surface modification and electromagnetic wave absorbing material preparation. According to the method, solvents with different polarities are used for treating polymer microspheres with initial pattern structures on the surfaces, polymer chain segments are induced to generate conformational change, and reversible transformation of the surface morphology of the microspheres between a rough structure and a flat surface is achieved. According to the invention, the dependence of the traditional patterning technology on a planar substrate is broken through, and the application of the method on a three-dimensional microstructure is expanded. Through regulation and control of chain segment conformation induced by a solvent, bidirectional and fine regulation and control of the surface morphology of the microspheres are achieved, and the method has the advantages of being high in controllability and good in repeatability. Besides, the carbon microspheres prepared by the method have unique surface structures, enhance interface polarization and electromagnetic energy loss efficiency, can be applied to preparation of electromagnetic wave absorbing materials, and show good application prospects.

A structural performance estimation method based on PEMFC gas diffusion layer three-dimensional reconstruction comprises the steps that a two-dimensional image of a membrane electrode is obtained through three-dimensional X-ray tomography, gray level, noise reduction and enhancement processing is carried out on the two-dimensional image of the membrane electrode, pores and a base body area of a gas diffusion layer in the two-dimensional gray level image of the membrane electrode are confirmed, and the gas diffusion layer is obtained. Reconstructing a three-dimensional microstructure of the membrane electrode by utilizing a three-dimensional reconstruction algorithm, counting and analyzing the three-dimensional microstructure of the membrane electrode in combination with visual software Avizo, reconstructing a three-dimensional geometric structure of the gas diffusion layer step by step by utilizing the counted and analyzed porosity distribution characteristics, and establishing a mechanical model of the three-dimensional geometric structure of the gas diffusion layer; obtaining stress-strain response characteristics of the gas diffusion layer under different load conditions through the mechanical model of the three-dimensional geometric structure of the gas diffusion layer; the method solves the problems that a traditional experimental method is long in period and high in cost, and the internal mechanical response of the gas diffusion layer is difficult to obtain, and precise prediction of the structural performance of the gas diffusion layer is achieved.