研究论文
Physics-informed machine learning for explainable prediction of friction and wear in carbon-ceramic composites
Yadong Li, Bing Liu, Zhaofu Zhang, Zhaofu Zhang, Wengen Ouyang, Weiwei Shi, Zhenghua Chang, Zheng Hu 等 10 位
Chinese Academy of Sciences Institute of Mechanics University of Chinese Academy of Sciences China Institute of Water Resources and Hydropower Research
来源Ceramics International
年份2025
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逐年被引趋势
1580
25
1526
关键指标
16
被引次数 · OpenAlex
6.73
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 2%
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同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
72
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学术脉络
学科主题
工程Tunneling and Rock Mechanics
Fuel Cells and Related Materials · Advanced machining processes and optimization
参考文献 72
Preparation, Properties and Application of C/C-SiC Composites Fabricated by Warm Compacted-in situ Reaction
被引 45Peng Xiao, Zhuan Li, Zibing Zhu · Journal of Material Science and Technology · 2010
Effect of graphitization on microstructure and tribological properties of C/SiC composites prepared by reactive melt infiltration
被引 56Guangpeng Jiang, Jianfeng Yang, Yongdong Xu · Composites Science and Technology · 2008
Preparation and tribological properties of C fibre reinforced C/SiC dual matrix composites fabrication by liquid silicon infiltration
被引 65Zhuan Li, Peng Xiao, Xiang Xiong · Solid State Sciences · 2012
此处列出前 3 条
引用本文 16
Machine learning in tribology: A review on framework, case studies, and future perspectives
被引 10Yadong LI, Bing Liu, Zhenghua Chang · Journal of Manufacturing Processes · 2026
Online dynamic parameter calibration of a physics-driven hybrid model for tool wear prediction
被引 3Zhiming Han, Weichao Luo, Xiaojun Liang · Journal of Manufacturing Systems · 2026
Physics-informed machine learning using surface topography parameters for wear prediction of PTFE
被引 2Junkai Niu, Xiaotian Shi, Xiaozan Huang · Tribology International · 2026
按被引量排序，此处列出前 3 条