dc.contributor | Department of Materials Science and Engineering; Carnegie Mellon University | en_US |
dc.contributor.author | Hecht, Matthew D. | |
dc.contributor.author | DeCost, Brian L. | |
dc.contributor.author | Francis, Toby | |
dc.contributor.author | Holm, Elizabeth A. | |
dc.contributor.author | Picard, Yoosuf N. | |
dc.contributor.author | Webler, Bryan A. | |
dc.contributor.other | bdecost@andrew.cmu.edu | en_US |
dc.date.accessioned | 2017-04-17T12:28:56Z | |
dc.date.available | 2017-04-17T12:28:56Z | |
dc.identifier.citation | B.L. DeCost, M.D. Hecht, T. Francis, Y.N. Picard, B.A. Webler & E.A. Holm, UHCSDB (UltraHigh Carbon Steel micrograph Database): tools for exploring large heterogeneous microstructure datasets. Integrating Materials and Manufacturing Innovation, 6(2):197-205, 2017. doi: 10.1007/s40192-017-0097-0 | en_US |
dc.identifier.uri | http://hdl.handle.net/11256/940 | |
dc.description.abstract | We present a new microstructure informatics 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 informatics techniques, and for creation of microstructure informatics teaching modules. | en_US |
dc.description.sponsorship | We gratefully acknowledge funding for this work through National Science Foundation grants DMR-1307138 and DMR-1501830, and through the John and Claire Bertucci Foundation. Data visualization tool development by B.D., T.F., and E.H.; UHCS microscopy work by M.H., Y.P., and B.W. This work was supported in part by the Commonwealth of Pennsylvania Department of Community and Economic Development (DCED) Developed in PA program (D2PA), and by National Science Foundation grant CMMI-1436064. The as-cast and heat treated UHCS samples were provided by Miller Centrifugal Casting. | en_US |
dc.description.uri | http://uhcsdb.materials.cmu.edu | en_US |
dc.relation.haspart | M.D Hecht, B.A. Webler, & Y.N. Picard. Digital image analysis to quantify carbide networks in ultrahigh carbon steels. Materials Characterization, 117:134–143, 2016. doi: 10.1016/j.matchar.2016.04.012 | en_US |
dc.relation.haspart | M.D. Hecht, Y.N. Picard, and B.A. Webler. Coarsening of inter- and intra-granular proeutectoid cementite in an initially pearlitic 2c-4cr ultrahigh carbon steel. Metallurgical and Materials Transactions A, 48(5):2320–2335, 2017. doi: 10.1007/s11661-017-4012-2 | en_US |
dc.relation.haspart | B.L. DeCost, T. Francis, and E.A. Holm. Exploring the microstructure manifold: image texture representations applied to ultrahigh carbon steel microstructures. In revision for Acta Materialia, 2017. arxiv: arxiv.org/abs/1702.01117 | en_US |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject | Computational File Repository Categories::ALLOY SYSTEMS::Fe Alloys::Steel | en_US |
dc.title | Ultrahigh Carbon Steel Micrographs | en_US |
dc.type | Dataset | en_US |
dc.type | Image | en_US |
dc.type | Macro/Script | en_US |