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Erschienen in: Integrating Materials and Manufacturing Innovation 2/2017

Open Access 30.05.2017 | TECHNICAL ARTICLE

UHCSDB: UltraHigh Carbon Steel Micrograph DataBase

Tools for Exploring Large Heterogeneous Microstructure Datasets

verfasst von: Brian L. DeCost, Matthew D. Hecht, Toby Francis, Bryan A. Webler, Yoosuf N. Picard, Elizabeth A. Holm

Erschienen in: Integrating Materials and Manufacturing Innovation | Ausgabe 2/2017

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Abstract

We present a new microstructure dataset consisting of ultrahigh carbon steel (UHCS) micrographs taken over a range of length scales under systematically varied heat treatments. Using the UHCS dataset as a case study, we develop a set of visualization tools for interacting with and exploring large microstructure and metadata datasets. Based on generic microstructure representations adapted from the field of computer vision, these tools enable image-based microstructure retrieval, as well as spatial maps of both microstructure and related metadata, such as processing conditions or properties measurements. We provide the microstructure image data, processing metadata, and source code for these microstructure exploration tools. The UHCS dataset is intended as a community resource for development and evaluation of microstructure data science techniques and for creation of microstructure data science teaching modules.
Fußnoten
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1 Datasets organized in collections of slide decks are commonplace.
 
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Metadaten
Titel
UHCSDB: UltraHigh Carbon Steel Micrograph DataBase
Tools for Exploring Large Heterogeneous Microstructure Datasets
verfasst von
Brian L. DeCost
Matthew D. Hecht
Toby Francis
Bryan A. Webler
Yoosuf N. Picard
Elizabeth A. Holm
Publikationsdatum
30.05.2017
Verlag
Springer International Publishing
Erschienen in
Integrating Materials and Manufacturing Innovation / Ausgabe 2/2017
Print ISSN: 2193-9764
Elektronische ISSN: 2193-9772
DOI
https://doi.org/10.1007/s40192-017-0097-0

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