Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network.
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| Title: | Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network. |
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| Authors: | Choi, Yeong-Won1 (AUTHOR) 0won@skku.edu, Lee, Taek-Gyu2 (AUTHOR) taekgyu.lee@doosan.com, Yeom, Yun-Taek3 (AUTHOR) ytyeom@dyu.ac.kr, Kwon, Sung-Duk4 (AUTHOR) sdkwon@anu.ac.kr, Kim, Hun-Hee2 (AUTHOR) hunhee1.kim@doosan.com, Lee, Kee-Young5 (AUTHOR) kylee@kpccorp.co.kr, Kim, Hak-Joon1 (AUTHOR) hjkim21c@skku.edu, Song, Sung-Jin1 (AUTHOR) sjsong@skku.edu |
| Source: | Materials (1996-1944). Dec2023, Vol. 16 Issue 23, p7406. 12p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 174112400 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Choi%2C+Yeong-Won%22">Choi, Yeong-Won</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 0won@skku.edu</i><br /><searchLink fieldCode="AR" term="%22Lee%2C+Taek-Gyu%22">Lee, Taek-Gyu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> taekgyu.lee@doosan.com</i><br /><searchLink fieldCode="AR" term="%22Yeom%2C+Yun-Taek%22">Yeom, Yun-Taek</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> ytyeom@dyu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Kwon%2C+Sung-Duk%22">Kwon, Sung-Duk</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> sdkwon@anu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Hun-Hee%22">Kim, Hun-Hee</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> hunhee1.kim@doosan.com</i><br /><searchLink fieldCode="AR" term="%22Lee%2C+Kee-Young%22">Lee, Kee-Young</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> kylee@kpccorp.co.kr</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Hak-Joon%22">Kim, Hak-Joon</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hjkim21c@skku.edu</i><br /><searchLink fieldCode="AR" term="%22Song%2C+Sung-Jin%22">Song, Sung-Jin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sjsong@skku.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Materials+%281996-1944%29%22">Materials (1996-1944)</searchLink>. Dec2023, Vol. 16 Issue 23, p7406. 12p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=174112400 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/ma16237406 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 7406 Titles: – TitleFull: Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Choi, Yeong-Won – PersonEntity: Name: NameFull: Lee, Taek-Gyu – PersonEntity: Name: NameFull: Yeom, Yun-Taek – PersonEntity: Name: NameFull: Kwon, Sung-Duk – PersonEntity: Name: NameFull: Kim, Hun-Hee – PersonEntity: Name: NameFull: Lee, Kee-Young – PersonEntity: Name: NameFull: Kim, Hak-Joon – PersonEntity: Name: NameFull: Song, Sung-Jin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 19961944 Numbering: – Type: volume Value: 16 – Type: issue Value: 23 Titles: – TitleFull: Materials (1996-1944) Type: main |
| ResultId | 1 |
