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Tianyu Yu
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Journal Articles

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

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Junchuan Shi, Tianyu Yu, Kai Goebel, Dazhong Wu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2021, 21(2): 021004.
Paper No: JCISE-20-1129
https://doi.org/10.1115/1.4048215
Published Online: October 13, 2020
View Articletitled, Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features
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Topics: Algorithms, Bearings, Errors, Service life (Equipment), Feature selection, Vibration, Signals, Failure
Journal Articles

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

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Ziyang Zhang, Junchuan Shi, Tianyu Yu, Aaron Santomauro, Ali Gordon, Jihua Gou, Dazhong Wu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2020, 20(6): 061015.
Paper No: JCISE-20-1006
https://doi.org/10.1115/1.4047477
Published Online: July 9, 2020
View Articletitled, Predicting Flexural Strength of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites Using Machine Learning
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Topics: Additive manufacturing, Bending strength, Carbon, Design, Fibers, Machine learning, Polymers, Carbon reinforced plastics, Stiffness, Modeling
Proceedings Papers

A Review on Additive Manufacturing of Ceramics

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Brooke Mansfield, Sabrina Torres, Tianyu Yu, Dazhong Wu
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T01A001, June 10–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2019-2886
https://doi.org/10.1115/MSEC2019-2886
View Paper titled, A Review on Additive Manufacturing of Ceramics
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Topics: Additive manufacturing, Ceramics
Journal Articles

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

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Zhixiong Li, Dazhong Wu, Tianyu Yu
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. March 2019, 141(3): 031003.
Paper No: MANU-18-1189
https://doi.org/10.1115/1.4042051
Published Online: January 17, 2019
View Articletitled, Prediction of Material Removal Rate for Chemical Mechanical Planarization Using Decision Tree-Based Ensemble Learning
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Topics: Algorithms, Modeling, Semiconductor wafers, Feature extraction, Physics
Proceedings Papers

Modeling Wear Process of Electroplated CBN Grinding Wheel

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Tianyu Yu, Ashraf F. Bastawros, Abhijit Chandra
Proc. ASME. MSEC2015, Volume 1: Processing, V001T02A005, June 8–12, 2015
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2015-9319
https://doi.org/10.1115/MSEC2015-9319
View Paper titled, Modeling Wear Process of Electroplated CBN Grinding Wheel
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Topics: Grinding wheels, Modeling, Wear, Boron, Damage, Fatigue, Geometry, Grinding, Materials properties, Percolation theory
Proceedings Papers

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

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Tianyu Yu, Ashraf F. Bastawros, Abhijit Chandra
Proc. ASME. MSEC2014, Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing, V001T01A005, June 9–13, 2014
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2014-3961
https://doi.org/10.1115/MSEC2014-3961
View Paper titled, Experimental Characterization of Electroplated CBN Grinding Wheel Wear: Topology Evolution and Interfacial Toughness
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Topics: Experimental characterization, Fracture toughness, Grinding wheels, Topology, Wear, Failure, Modeling, Boron, Cycles, Damage