Regular Activities
Friction Forum 2025
Address: Room A278,Lee Shau Kee Sci.&Techn.Building,Tsinghua University
Time：11 / 05 08:45 ~ 17:40
ORGANIZERS:FrictionState Key Laboratory of Tribology in Advanced Equipment, Tsinghua University
SPONSORS:Tsinghua University Press,ZGC Forum & Exhibition co., Ltd.
SPONSORS:Tsinghua University Press,ZGC Forum & Exhibition co., Ltd.
| 08:45-09:00 | Jianbin Luo,Director of SKLT,EIC of Friction |
| 09:00-09:20 | Physics-based and data-driven advanced multiscale models of lubrication |
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Daniele Dini Imperial College London,UK |
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| 09:20-09:40 | On the artefacts involved in the measurements of engineering 3D topography and correction method |
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Valentin L.Popov,Mikhail Popov,lakov A.Lyashenko Berlin University of Technology,Germany;Department of Artificial Intelligence and Information Systems,Samarkand State University,Uzbekistan |
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| 09:40-10:00 | Machine learning-assisted pathways to tribological materials discovery |
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Stefan Eder AC2T,Austria |
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| 10:00-10:20 | Unraveling superlubricity mechanism of DLC film by machine- learning potential based MD simulation |
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Tianbao Ma SKLT,Tsinghua University,China |
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| 10:40-11:00 | Bridging scales:Enhanced practical modeling of machine element by Al-powered prediction of EHL contacts |
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Max Marian Pontificia Universidad Católica de Chile,Chile;Leibniz University Hannover,Germany |
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| 11:00-11:20 | Conditional UNet-based prediction of friction temperature field in deterministic surface lubrication |
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Yichun Xia SKLT,Tsinghua University,China |
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| 11:20-12:00 | Daniele Dini,Valentin L.Popov,Stefan Eder,Tianbao Ma Max Marian,Yichun Xia |
| 13:40-14:00 | Tribo-informatic assessment of friction coefficient dynamics via multimodal signals |
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Zhinan Zhang Shanghai Jiao Tong University,China |
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| 14:00-14:20 | Modeling and analysis of energy consumption in ballroom dance performance with machine learning |
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Aleksandar Marinkovic University of Belgrade,Serbia |
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| 14:20-14:40 | Modelling/prediction/prognostics techniques-Al perspective in prediction and prognosis of complex systems and structures |
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Zulfiqar Khan Bournemouth University,UK |
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| 14:40-15:00 | Reinforcement learning method for datatic control of complex industrial systems |
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Shengbo Eben Li School of Vehicle and Mobility (SVM),College of AI,Tsinghua University,China |
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| 15:20-15:40 | Artificial intelligence-based recognition method for abnormal wear of critical friction components in advanced rail transit equipment |
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Jiliang Mo Southwest Jiaotong University,China |
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| 15:40-16:00 | Towards predictive tribology:image-driven models for friction coefficients |
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Motoyuki Murashima Tohoku University,Japan |
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| 16:00-16:20 | Applying machine learning to acoustic emission data for in-situ lubrication condition monitoring |
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Min Yu Imperial College London,UK |
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| 16:20-16:40 | Challenges of Al on publication of tribology research work |
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Jun Xu SKLT,Tsinghua University,China |
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| 16:40-17:20 | Zhinan Zhang,Aleksadra Marinkovic,Zulfiqar Khan,Min Yu Jiliang Mo,Motoyuki Murashima,Jun Xu |
| 17:20-17:40 | Friction prize award |
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