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机构地区:[1]School of Mechanical and Aerospace Engineering,Nanyang Technological University,639798 Singapore,Singapore [2]Department of Engineering,University of Cambridge,Cambridge,CB21PZ,UK
出 处:《npj Computational Materials》2024年第1期259-268,共10页计算材料学(英文)
基 金:funded by the Ministry of Education of Singapore,Official Number:MOE2017-T2-2-119;the Isaac Newton Trust/University of Cambridge Joint Schools Research Grants Scheme for the Schools of Physical Sciences and Technology.
摘 要:Critical to the growth of digital manufacturing is the development of rapid yet accurate quality control technologies to assess the microstructure of each metal part produced.Typical surface analysis methods are limited in measurement throughput and impose constraints on maximum area size and surface quality,which enforce the tedious practice of extracting and preparing flat,small-scale samples for microstructure analysis.Here,we propose a new approach based on directional reflectance microscopy(DRM)which can yield part-scale microstructure information nondestructively and on curved,complex surfaces.We demonstrate our approach on the airfoil of a turbine blade and carry out a rigorous error analysis using other samples with variable surface geometry.Our results highlight the potential for part-specific quality control in the context of digital manufacturing.
关 键 词:ANALYSIS MICROSTRUCTURE enable
分 类 号:TN9[电子电信—信息与通信工程]
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