A Framework for the Systematic Design of Segmentation Workflows
Author:
Funder
Office of Naval Research
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,General Materials Science
Link
http://link.springer.com/content/pdf/10.1007/s40192-019-00166-z.pdf
Reference99 articles.
1. Santofimia M, Zhao L, Petrov R, Sietsma J (2008) Characterization of the microstructure obtained by the quenching and partitioning process in a low-carbon steel. Mater Charact 59(12):1758–1764
2. Uchic MD, Groeber MA, Dimiduk DM, Simmons J (2006) 3D microstructural characterization of nickel superalloys via serial-sectioning using a dual beam FIB-SEM. Scr Mater 55(1):23–28
3. Cantor B, Chang I, Knight P, Vincent A (2004) Microstructural development in equiatomic multicomponent alloys. Mater Sci Eng A 375:213–218
4. Otto F, Dlouhý A, Pradeep KG et al (2016) Decomposition of the single-phase high-entropy alloy CrMnFeCoNi after prolonged anneals at intermediate temperatures. Acta Mater 112:40–52
5. Tan C, Zhou K, Ma W et al (2017) Microstructural evolution, nanoprecipitation behavior and mechanical properties of selective laser melted high-performance grade 300 maraging steel. Mater Des 134:23–34
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