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Tianyu Yu
Tianyu Yu
Harbin Institute of Technology
Verified email at alumni.iastate.edu - Homepage
Title
Cited by
Cited by
Year
Tensile and flexural behaviors of additively manufactured continuous carbon fiber-reinforced polymer composites
T Yu, Z Zhang, S Song, Y Bai, D Wu
Composite Structures 225, 111147, 2019
1642019
Grinding performance of textured monolayer CBN wheels: undeformed chip thickness nonuniformity modeling and ground surface topography prediction
W Ding, C Dai, T Yu, J Xu, Y Fu
International Journal of Machine Tools and Manufacture 122, 66-80, 2017
1562017
Influence of grain wear on material removal behavior during grinding nickel-based superalloy with a single diamond grain
C Dai, W Ding, J Xu, Y Fu, T Yu
International Journal of Machine Tools and Manufacture 113, 49-58, 2017
1432017
Materials removal mechanism in high-speed grinding of particulate reinforced titanium matrix composites
C Liu, W Ding, T Yu, C Yang
Precision Engineering 51, 68-77, 2018
942018
Structure-property relationship in high strength and lightweight AlSi10Mg microlattices fabricated by selective laser melting
T Yu, H Hyer, Y Sohn, Y Bai, D Wu
Materials & Design 182, 108062, 2019
892019
Experimental and modeling characterization of wear and life expectancy of electroplated CBN grinding wheels
T Yu, AF Bastawros, A Chandra
International Journal of Machine Tools and Manufacture 121, 70-80, 2017
852017
Extrusion-based additive manufacturing of yttria-partially-stabilized zirconia ceramics
T Yu, Z Zhang, Q Liu, R Kuliiev, N Orlovskaya, D Wu
Ceramics International 46 (4), 5020-5027, 2020
832020
Wear evolution and stress distribution of single CBN superabrasive grain in high-speed grinding
J Wang, T Yu, W Ding, Y Fu, AF Bastawros
Precision Engineering 54, 70-80, 2018
632018
Effects of pore structure and distribution on strength of porous Cu-Sn-Ti alumina composites
B Zhao, T Yu, W Ding, X Li
Chinese Journal of Aeronautics, 2017
622017
Prediction of Material Removal Rate for Chemical Mechanical Planarization Using Decision Tree-based Ensemble Learning
Z Li, D Wu, T Yu
Transactions of the ASME, Journal of Manufacturing Science and Engineering, 2019
592019
Grinding of Ti2AlNb intermetallics using silicon carbide and alumina abrasive wheels: tool surface topology effect on grinding force and ground surface quality
X Xi, T Yu, W Ding, J Xu
Precision Engineering 53, 134-145, 2018
592018
Microstructure and wear characterization of carbon nanotubes (CNTs) reinforced aluminum matrix nanocomposites manufactured using selective laser melting
T Yu, J Liu, Y He, J Tian, M Chen, Y Wang
Wear 476, 203581, 2021
462021
Single diamond grain cutting-edges morphology effect on grinding mechanism of Inconel 718
CW Dai, TY Yu, WF Ding, JH Xu, Z Yin, H Li
Precision Engineering 55, 119-126, 2019
462019
Investigation on stress distribution and wear behavior of brazed polycrystalline cubic boron nitride superabrasive grains: numerical simulation and experimental study
Y Zhu, W Ding, T Yu, J Xu, Y Fu, H Su
Wear 376, 1234-1244, 2017
462017
Remaining useful life prediction of bearings using ensemble learning: The impact of diversity in base learners and features
J Shi, T Yu, K Goebel, D Wu
Journal of Computing and Information Science in Engineering 21 (2), 021004, 2021
452021
Performance and modeling of paired polishing process
T Yu, DT Asplund, AF Bastawros, A Chandra
International Journal of Machine Tools and Manufacture 109, 49-57, 2016
432016
Predictive Modeling of Material Removal Rate in Chemical Mechanical Planarization with Physics-Informed Machine Learning
T Yu, D Wu, Z Li
Wear, 2019
382019
Dual-beam laser drilling process for thick carbon fiber reinforced plastic composites plates
N Tao, G Chen, T Yu, W Li, L Fan
Journal of Materials Processing Technology 281, 116590, 2020
362020
Experimental and numerical study on residual stress and geometric distortion in powder bed fusion process
T Yu, M Li, A Breaux, M Atri, S Obeidat, C Ma
Journal of Manufacturing Processes 46, 214-224, 2019
352019
Predicting flexural strength of additively manufactured continuous carbon fiber-reinforced polymer composites using machine learning
Z Zhang, J Shi, T Yu, A Santomauro, A Gordon, J Gou, D Wu
Journal of Computing and Information Science in Engineering 20 (6), 061015, 2020
332020
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Articles 1–20