航空材料学报2025，Vol.45Issue(6)：13-32,20.DOI:10.11868/j.issn.1005-5053.2024.000195
非均质材料微观结构表征与重建研究进展
Research progress in microstructure characterization and reconstruction of heterogeneous materials
摘要
Abstract
Heterogeneous materials are widely used in high-end equipment components of fields such as aerospace,electronic information and national defense,with the microstructure features of multi-phase,multi-scale and complex morphology,which determines the superior macroscopic properties of materials.Establishing an accurate microstructure model is crucial for deeply understanding the structure-property relationship.However,when the material exhibits strong heterogeneous characteristics,the complexity and difficulty of this process increase significantly.In recent years,advances in computational materials science promote the development of computational simulation methods.Microstructure characterization and reconstruction(MCR),as a key component of computational simulation process,provides a powerful approach for microstructure modeling of heterogeneous materials.Currently,MCR for heterogeneous materials mainly includes the following two categories:(1)modeling techniques based on statistical methods;(2)modeling techniques based on machine learning and computer vision.This work summarizes and organizes two categories of MCR techniques,explains the characteristics and applicability of the relevant methods,and analyzes the research progress of different methods in MCR of heterogeneous material.It aims to provide references and guidance for selecting MCR methods and applying them to material design.关键词
微观结构/表征与重建/非均质材料/统计方法/机器学习Key words
microstructure/characterization and reconstruction/heterogeneous material/statistical method/machine learning分类
通用工业技术引用本文复制引用
陈伊家,马志远,张天旭,林莉..非均质材料微观结构表征与重建研究进展[J].航空材料学报,2025,45(6):13-32,20.基金项目
国家自然科学基金项目(U22B2068,52075078,52175496) （U22B2068,52075078,52175496）
