Datafication of material mechanisms in nuclear environment

Publikationen: Thesis / Studienabschlussarbeiten und HabilitationsschriftenMasterarbeit

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Datafication of material mechanisms in nuclear environment. / Reich, René.
2020.

Publikationen: Thesis / Studienabschlussarbeiten und HabilitationsschriftenMasterarbeit

Harvard

Reich, R 2020, 'Datafication of material mechanisms in nuclear environment', MSc, Montanuniversität Leoben (000).

APA

Reich, R. (2020). Datafication of material mechanisms in nuclear environment. [Masterarbeit, Montanuniversität Leoben (000)].

Bibtex - Download

@mastersthesis{6d8bf94a444e4e01946b064940962623,
title = "Datafication of material mechanisms in nuclear environment",
abstract = "Material selection relies on the information of feasible materials, especially in nuclear applications, where material tests are complex and require special attention to safety. A more profound material selection decision one can make with the increasing availability of the information. Peer-reviewed scientific articles present a vital source with high quality. This thesis studies the possibilities of information extraction and information summarization of the properties of metallic alloys. The following challenges for this purpose were identified: Fully automated information extraction by machine learning algorithms will become possible with the creation of materials science related corpus for natural language processing. Also, an automated plot digitizer would excavate enormous amounts of material data. With the increasing size of the database, its clarity decreases. So, the contained information should be summarized comprehensibly. The approach presented in this thesis is a material mechanism map. Based on the idea of Ashby maps, material mechanism maps visualize areas of material property changes under specific environmental conditions. As an example, a material mechanism map for the austenitic steel SS316, serving as nuclear fuel-cladding material, was computed. The map contains information about material hardening, recovery, irradiation embrittlement, swelling, creep, and precipitation formation depending on the irradiation dose and the homologous temperature.",
keywords = "material informatics, information extraction, material data extractor, machine learning, natural language processing, information gathering, material database, information summarization, information visualization, Ashby map, material mechanism map, nuclear materials, fuel-cladding material, austenitic stainless steel, SS316, irradiation, dose, temperature, hardening, recovery, embrittlement, swelling, creep, precipitation formation, Materialinformatik, Informationsextraktion, Materialdaten-Extraktor, Maschinelles Lernen, Verarbeitung nat{\"u}rlicher Sprache, Informationsbeschaffung, Materialdatenbank, Informationsvisualisierung, Informationszusammenfassung, Ashby-Plot, Materialmechanismen-Plot, Werkstoffe in nuklearen Anwendungen, H{\"u}llrohrmaterial f{\"u}r Krennbrennst{\"a}be, austenitischer Edelstahl, SS316, Bestrahlung, Dosis, Temperatur, Verfestigung, Erholung, Verspr{\"o}dung, Materialschwellung, Kriechen, Ausscheidungsbildung",
author = "Ren{\'e} Reich",
note = "embargoed until null",
year = "2020",
language = "English",
school = "Montanuniversitaet Leoben (000)",

}

RIS (suitable for import to EndNote) - Download

TY - THES

T1 - Datafication of material mechanisms in nuclear environment

AU - Reich, René

N1 - embargoed until null

PY - 2020

Y1 - 2020

N2 - Material selection relies on the information of feasible materials, especially in nuclear applications, where material tests are complex and require special attention to safety. A more profound material selection decision one can make with the increasing availability of the information. Peer-reviewed scientific articles present a vital source with high quality. This thesis studies the possibilities of information extraction and information summarization of the properties of metallic alloys. The following challenges for this purpose were identified: Fully automated information extraction by machine learning algorithms will become possible with the creation of materials science related corpus for natural language processing. Also, an automated plot digitizer would excavate enormous amounts of material data. With the increasing size of the database, its clarity decreases. So, the contained information should be summarized comprehensibly. The approach presented in this thesis is a material mechanism map. Based on the idea of Ashby maps, material mechanism maps visualize areas of material property changes under specific environmental conditions. As an example, a material mechanism map for the austenitic steel SS316, serving as nuclear fuel-cladding material, was computed. The map contains information about material hardening, recovery, irradiation embrittlement, swelling, creep, and precipitation formation depending on the irradiation dose and the homologous temperature.

AB - Material selection relies on the information of feasible materials, especially in nuclear applications, where material tests are complex and require special attention to safety. A more profound material selection decision one can make with the increasing availability of the information. Peer-reviewed scientific articles present a vital source with high quality. This thesis studies the possibilities of information extraction and information summarization of the properties of metallic alloys. The following challenges for this purpose were identified: Fully automated information extraction by machine learning algorithms will become possible with the creation of materials science related corpus for natural language processing. Also, an automated plot digitizer would excavate enormous amounts of material data. With the increasing size of the database, its clarity decreases. So, the contained information should be summarized comprehensibly. The approach presented in this thesis is a material mechanism map. Based on the idea of Ashby maps, material mechanism maps visualize areas of material property changes under specific environmental conditions. As an example, a material mechanism map for the austenitic steel SS316, serving as nuclear fuel-cladding material, was computed. The map contains information about material hardening, recovery, irradiation embrittlement, swelling, creep, and precipitation formation depending on the irradiation dose and the homologous temperature.

KW - material informatics

KW - information extraction

KW - material data extractor

KW - machine learning

KW - natural language processing

KW - information gathering

KW - material database

KW - information summarization

KW - information visualization

KW - Ashby map

KW - material mechanism map

KW - nuclear materials

KW - fuel-cladding material

KW - austenitic stainless steel

KW - SS316

KW - irradiation

KW - dose

KW - temperature

KW - hardening

KW - recovery

KW - embrittlement

KW - swelling

KW - creep

KW - precipitation formation

KW - Materialinformatik

KW - Informationsextraktion

KW - Materialdaten-Extraktor

KW - Maschinelles Lernen

KW - Verarbeitung natürlicher Sprache

KW - Informationsbeschaffung

KW - Materialdatenbank

KW - Informationsvisualisierung

KW - Informationszusammenfassung

KW - Ashby-Plot

KW - Materialmechanismen-Plot

KW - Werkstoffe in nuklearen Anwendungen

KW - Hüllrohrmaterial für Krennbrennstäbe

KW - austenitischer Edelstahl

KW - SS316

KW - Bestrahlung

KW - Dosis

KW - Temperatur

KW - Verfestigung

KW - Erholung

KW - Versprödung

KW - Materialschwellung

KW - Kriechen

KW - Ausscheidungsbildung

M3 - Master's Thesis

ER -