期刊
MATERIALS CHARACTERIZATION
卷 145, 期 -, 页码 671-685出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.matchar.2018.09.020
关键词
Microstructure; Chord length distribution; Grain size; Principal component analysis; EBSD
类别
资金
- National Science Foundation (United States) NSF [1664172]
- German Research Foundation (Germany) DFG [G0335/44-1, BA4253/2-1]
- Office of Naval Research [N00014-17-1-2810]
- TMP -NSF [1650972]
- Office of Naval Research (United States) ONR [N00014-15-1-2478]
- French State through the program Investment in the Future [ANR-11-LABX-0008-01]
- Direct For Computer & Info Scie & Enginr
- Office of Advanced Cyberinfrastructure (OAC) [1664172] Funding Source: National Science Foundation
Quantification of mesoscale microstructures of polycrystalline materials is important for a range of practical tasks of materials design and development. The current protocols of quantifying grain size and morphology often rely on microstructure metrics (e.g., mean grain diameter) that overlook important details of the mesostructure. In this work, we present a quantification framework based on directionally resolved chord length distribution and principal component analysis as a means of extracting additional information from 2-D microstructural maps. Towards this end, we first present in detail a method for calculating chord length distribution based on boundary segments available in modem digital datasets (e.g., from microscopy post-processing) and their low rank representations by principal component analysis. The utility of the proposed framework for capturing grain size, morphology, and their anisotropy for efficient visualization, representation, and specification of polycrystalline microstructures is then demonstrated in case studies on datasets from synthetic generation, experiments (on Ni-base superalloys), and simulations (on steel during recrystallization).
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