Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime (vol 172, 107645, 2023)
文献类型：期刊论文
| 作者 | Jia, Yinfeng; Fu, Rui; Ling, Chao; Shen, Zheng; Zheng, Liang; Zhong, Zheng; Hong YS(洪友士)
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| 刊名 | INTERNATIONAL JOURNAL OF FATIGUE
 |
| 出版日期 | 2023-11-01 |
| 卷号 | 176页码:1 |
| ISSN号 | 0142-1123 |
| DOI | 10.1016/j.ijfatigue.2023.107861 |
| 通讯作者 | Zheng, Liang(icon_lzheng@hit.edu.cn) ; Zhong, Zheng(zhongzheng@hit.edu.cn) |
| 分类号 | 一类 |
| WOS研究方向 | Engineering ; Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001099069100001 |
| 其他责任者 | Zheng, Liang ; Zhong, Zheng |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/93376]  |
| 专题 | 力学研究所_非线性力学国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Jia, Yinfeng,Fu, Rui,Ling, Chao,et al. Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime (vol 172, 107645, 2023)[J]. INTERNATIONAL JOURNAL OF FATIGUE,2023,176:1. |
| APA | Jia, Yinfeng.,Fu, Rui.,Ling, Chao.,Shen, Zheng.,Zheng, Liang.,...&洪友士.(2023).Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime (vol 172, 107645, 2023).INTERNATIONAL JOURNAL OF FATIGUE,176,1. |
| MLA | Jia, Yinfeng,et al."Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime (vol 172, 107645, 2023)".INTERNATIONAL JOURNAL OF FATIGUE 176(2023):1. |
入库方式： OAI收割
来源：力学研究所
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