6 results about "Three dimensional microstructure" patented technology

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 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.