LDR | | 00000nam u2200205 4500 |
001 | | 000000436060 |
005 | | 20200228112605 |
008 | | 200131s2019 ||||||||||||||||| ||eng d |
020 | |
▼a 9781687976352 |
035 | |
▼a (MiAaPQ)AAI27602959 |
035 | |
▼a (MiAaPQ)OhioLINKosu1555523646156822 |
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▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 621 |
100 | 1 |
▼a Brust, Alexander Frederick. |
245 | 10 |
▼a Applications of Graph Cutting for Probabilistic Characterization of Microstructures in Ferrous Alloys. |
260 | |
▼a [S.l.]:
▼b The Ohio State University.,
▼c 2019. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
300 | |
▼a 277 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-06, Section: B. |
500 | |
▼a Advisor: Niezgoda, Stephen. |
502 | 1 |
▼a Thesis (Ph.D.)--The Ohio State University, 2019. |
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▼a This item must not be sold to any third party vendors. |
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▼a Processing of martensitic steels requires a thermally driven phase transformation into the austenite phase field, where rapid cooling initiates the diffusionless transformation into martensite. The resultant microstructural constituent is a hard, brittle phase that requires subsequent heat treatment to soften the material for optimized mechanical properties. Although the transformation microstructure has the largest influence on these mechanical properties, the prior austenite microstructure has been shown to significantly affect the final product material in the form of ductile to brittle fracture occurrence, classification of creep and cavitation sites, increasing martensite packet and block sizes resulting in Hall-Petch effects, and temper embrittlement. Therefore, reconstruction of the prior austenite phase field can help optimize both the processing of a sample steel or binary ferrous alloy and predicative examinations on the material. However, analysis of the austenite to martensite transformation is hindered by the large volume of noise associated with the transformation. This can be attributed to the scale of the transformation, which results in a single prior austenite grain producing up to 24 martensitic variants |
590 | |
▼a School code: 0168. |
650 | 4 |
▼a Engineering. |
650 | 4 |
▼a Materials science. |
650 | 4 |
▼a Artificial intelligence. |
650 | 4 |
▼a Mechanical engineering. |
690 | |
▼a 0794 |
690 | |
▼a 0537 |
690 | |
▼a 0800 |
690 | |
▼a 0548 |
710 | 20 |
▼a The Ohio State University.
▼b Materials Science and Engineering. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 81-06B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0168 |
791 | |
▼a Ph.D. |
792 | |
▼a 2019 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15494577
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202002
▼f 2020 |
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▼a ***1816162 |
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▼a E-BOOK |