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Fingerprint Dive into the research topics where Yuebin Guo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 4 Similar Profiles
Residual stresses Engineering & Materials Science
Machining Engineering & Materials Science
Calcium alloys Engineering & Materials Science
Shot peening Engineering & Materials Science
Burnishing Engineering & Materials Science
Magnesium alloys Engineering & Materials Science
Lasers Engineering & Materials Science
Fatigue of materials Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1998 2019

Heterogeneous data-driven hybrid machine learning for tool condition prognosis

Wang, P., Liu, Z., Gao, R. X. & Guo, Y., 2019, In : CIRP Annals. 68, 1, p. 455-458 4 p.

Rutgers, The State University

Research output: Contribution to journalArticle

Learning systems
Wear of materials
Recurrent neural networks
Cutting tools
Quality assurance

Machining of biocompatible materials — Recent advances

Axinte, D., Guo, Y., Liao, Z., Shih, A. J., M'Saoubi, R. & Sugita, N., 2019, In : CIRP Annals. 68, 2, p. 629-652 24 p.

Rutgers, The State University

Research output: Contribution to journalArticle

Biomaterials
Machining
Industry
Materials properties
2 Citations (Scopus)

Microstructure anisotropy and its implication in mechanical properties of biomedical titanium alloy processed by electron beam melting

Wang, M., Li, H. Q., Lou, D. J., Qin, C. X., Jiang, J., Fang, X. Y. & Guo, Y., Jan 16 2019, In : Materials Science and Engineering A. 743, p. 123-137 15 p.

Research output: Contribution to journalArticle

Electron beam melting
titanium alloys
Titanium alloys
Anisotropy
melting
3 Citations (Scopus)

A hybrid approach to integrate machine learning and process mechanics for the prediction of specific cutting energy

Liu, Z. & Guo, Y., Jan 1 2018, In : CIRP Annals. 67, 1, p. 57-60 4 p.

Research output: Contribution to journalArticle

Learning systems
Mechanics
Analytical models
Tool steel
Sustainable development

A review of computational modeling in powder-based additive manufacturing for metallic part qualification

Liu, J., Jalalahmadi, B., Guo, Y., Sealy, M. P. & Bolander, N., Nov 12 2018, In : Rapid Prototyping Journal. 24, 8, p. 1245-1264 20 p.

Rutgers, The State University

Research output: Contribution to journalReview article

3D printers
Powders
Rapid prototyping
Product development
Residual stresses