AI for tribology: Present and future (Englisch)
Freier Zugriff
- Neue Suche nach: Yin, Nian
- Neue Suche nach: Yang, Pufan
- Neue Suche nach: Liu, Songkai
- Neue Suche nach: Pan, Shuaihang
- Neue Suche nach: Zhang, Zhinan
- Neue Suche nach: Yin, Nian
- Neue Suche nach: Yang, Pufan
- Neue Suche nach: Liu, Songkai
- Neue Suche nach: Pan, Shuaihang
- Neue Suche nach: Zhang, Zhinan
In:
Friction
;
12
, 6
;
1060-1097
;
2024
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:AI for tribology: Present and future
-
Weitere Titelangaben:Friction
-
Beteiligte:Yin, Nian ( Autor:in ) / Yang, Pufan ( Autor:in ) / Liu, Songkai ( Autor:in ) / Pan, Shuaihang ( Autor:in ) / Zhang, Zhinan ( Autor:in )
-
Erschienen in:Friction ; 12, 6 ; 1060-1097
-
Verlag:
- Neue Suche nach: Tsinghua University Press
-
Erscheinungsort:Beijing
-
Erscheinungsdatum:01.06.2024
-
Format / Umfang:38 pages
-
ISSN:
-
DOI:
-
Medientyp:Aufsatz (Zeitschrift)
-
Format:Elektronische Ressource
-
Sprache:Englisch
-
Schlagwörter:
-
Lizenzbestimmungen:
-
Datenquelle:
Inhaltsverzeichnis – Band 12, Ausgabe 6
Zeige alle Jahrgänge und Ausgaben
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 1057
-
Guest editorial: Special Issue on Artificial Intelligence and Emerging Computational Approaches for TribologyZhang, Zhinan / Pan, Shuaihang / Raeymaekers, Bart et al. | 2024
- 1060
-
AI for tribology: Present and futureYin, Nian / Yang, Pufan / Liu, Songkai / Pan, Shuaihang / Zhang, Zhinan et al. | 2024
- 1098
-
Comparison-embedded evidence-CNN model for fuzzy assessment of wear severity using multi-dimensional surface imagesShao, Tao / Wang, Shuo / Wang, Qinghua / Wu, Tonghai / Huang, Zhifu et al. | 2024
- 1119
-
Atomistic understanding of rough surface on the interfacial friction behavior during the chemical mechanical polishing process of diamondYuan, Song / Guo, Xiaoguang / Wang, Hao / Kang, Renke / Gao, Shang et al. | 2024
- 1133
-
Low-viscosity oligoether esters (OEEs) as high-efficiency lubricating oils: Insight on their structure–lubricity relationshipWang, Hanwen / Wang, Ying / Wen, Ping / Ma, Lin / Fan, Mingjin / Dong, Rui / Zhang, Chunhua et al. | 2024
- 1154
-
Classification and spectrum optimization method of grease based on infrared spectrumFeng, Xin / Xia, Yanqiu / Xie, Peiyuan / Li, Xiaohe et al. | 2024
- 1165
-
A new method to solve the Reynolds equation including mass-conserving cavitation by physics informed neural networks (PINNs) with both soft and hard constraintsXi, Yinhu / Deng, Jinhui / Li, Yiling et al. | 2024
- 1176
-
A new 3D plastoelastohydrodynamic lubrication model for rough surfacesYou, Shengyu / Tang, Jinyuan / Wang, Qiang et al. | 2024
- 1194
-
Optimized Mask-RCNN model for particle chain segmentation based on improved online ferrograph sensorWang, Shuo / Wan, Miao / Wu, Tonghai / Bai, Zichen / Wang, Kunpeng et al. | 2024
- 1214
-
Scuffing failure analysis based on a multiphysics coupling model and experimental verificationLyu, Bugao / Meng, Xianghui / Yin, Jiabao / Cui, Yi / Wang, Chengen et al. | 2024
- 1235
-
Prediction of ball-on-plate friction and wear by ANN with data-driven optimizationKovalev, Alexander / Tian, Yu / Meng, Yonggang et al. | 2024
- 1250
-
Prediction of contact resistance of electrical contact wear using different machine learning algorithmsCai, Zhen-bing / Li, Chun-lin / You, Lei / Chen, Xu-dong / He, Li-ping / Cao, Zhong-qing / Zhang, Zhi-nan et al. | 2024
- 1272
-
Bayesian inference-based wear prediction method for plain bearings under stationary mixed-friction conditionsKönig, Florian / Wirsing, Florian / Jacobs, Georg / He, Rui / Tian, Zhigang / Zuo, Ming J. et al. | 2024
- 1283
-
Generating synthetic as-built additive manufacturing surface topography using progressive growing generative adversarial networksSeo, Junhyeon / Rao, Prahalada / Raeymaekers, Bart et al. | 2024
- 1299
-
Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission dataGutierrez, Robert / Fang, Tianshi / Mainwaring, Robert / Reddyhoff, Tom et al. | 2024
- 1322
-
Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithmsNing, Huifeng / Chen, Faqiang / Su, Yunfeng / Li, Hongbin / Fan, Hengzhong / Song, Junjie / Zhang, Yongsheng / Hu, Litian et al. | 2024