Tianyu Yu

发表

The disassembly model of steam turbines for virtual maintenance

Haitao Zhu, Liang Cong, Tianyu Yu, 2012, 2012 IEEE International Conference on Mechatronics and Automation.

Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features

Kai Goebel, Junchuan Shi, Tianyu Yu, 2020, J. Comput. Inf. Sci. Eng..

Response to the comment on “International Journal of Machine Tools and Manufacture 122 (2017) 66–80”

Tianyu Yu, Wenfeng Ding, Chenwei Dai, 2017 .

Predicting Flexural Strength of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites Using Machine Learning

Ali P. Gordon, Ziyang Zhang, Junchuan Shi, 2020, J. Comput. Inf. Sci. Eng..

Fracture Mechanics-Based Quantitative Matching of Forensic Evidence Fragments

William Q. Meeker, Ranjan Maitra, Tianyu Yu, 2021, 2106.04809.

Investigation on stress distribution and wear behavior of brazed polycrystalline cubic boron nitride superabrasive grains: Numerical simulation and experimental study

Tianyu Yu, Wenfeng Ding, Yucan Fu, 2017 .

Wear evolution and stress distribution of single CBN superabrasive grain in high-speed grinding

Tianyu Yu, Wenfeng Ding, Yucan Fu, 2018, Precision Engineering.

Influence of grain wear on material removal behavior during grinding nickel-based superalloy with a single diamond grain

Tianyu Yu, Wenfeng Ding, Yucan Fu, 2017 .

Chemical mechanical paired grinding: a tool for multi-wavelength planarization

Abhijit Chandra, Tianyu Yu, David Thomas Asplund, 2017 .

Performance and modeling of paired polishing process

Abhijit Chandra, Tianyu Yu, David Thomas Asplund, 2016 .

Differential effects of metal oxide nanoparticles on zebrafish embryos and developing larvae

Tianyu Yu, Yao Qin, Sijie Lin, 2018 .

BP neural network based flexural strength prediction of open-porous Cu-Sn-Ti composites

Biao Zhao, Tianyu Yu, Wenfeng Ding, 2018, Progress in Natural Science: Materials International.

Predictive modeling of material removal rate in chemical mechanical planarization with physics-informed machine learning

Dazhong Wu, Tianyu Yu, Dazhong Wu, 2019, Wear.

Prediction of Material Removal Rate for Chemical Mechanical Planarization Using Decision Tree-Based Ensemble Learning

Dazhong Wu, Tianyu Yu, Dazhong Wu, 2019, Journal of Manufacturing Science and Engineering.

Grinding of Ti2AlNb intermetallics using silicon carbide and alumina abrasive wheels: Tool surface topology effect on grinding force and ground surface quality

Tianyu Yu, Wenfeng Ding, Jiuhua Xu, 2018, Precision Engineering.

Grinding performance of textured monolayer CBN wheels: Undeformed chip thickness nonuniformity modeling and ground surface topography prediction

Tianyu Yu, Wenfeng Ding, Yucan Fu, 2017 .

Experimental Characterization of Electroplated CBN Grinding Wheel Wear: Topology Evolution and Interfacial Toughness

Abhijit Chandra, Tianyu Yu, Ashraf F. Bastawros, 2014 .