• 1221 Citations
  • 18 h-Index
20002019
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Personal profile

Education/Academic qualification

Doctor of Philosophy, doctorate

Bachelor of Science, Bachelor, Northeastern University

Master of Science, Master, Northeastern University

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

Petri nets Engineering & Materials Science
Machining Engineering & Materials Science
Students Engineering & Materials Science
Process planning Engineering & Materials Science
Curricula Engineering & Materials Science
Virtual reality Engineering & Materials Science
Energy efficiency Engineering & Materials Science
Planning Engineering & Materials Science

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

Projects 2010 2019

Research Output 2000 2019

18 Citations (Scopus)

A comprehensive approach to parameters optimization of energy-aware CNC milling

Li, C., Li, L., Tang, Y., Zhu, Y. & Li, L., Jan 31 2019, In : Journal of Intelligent Manufacturing. 30, 1, p. 123-138 16 p.

Research output: Contribution to journalArticle

Milling (machining)
Energy efficiency
Energy utilization
Multiobjective optimization
Tabu search

A digital method for calculation the forming cutter profile in machining helical surface

He, K., Li, G., Du, Y. & Tang, Y., May 1 2019, In : International Journal of Mechanical Sciences. 155, p. 370-380 11 p.

Research output: Contribution to journalArticle

cutters
machining
Machining
envelopes
profiles
4 Citations (Scopus)

A knowledge-driven method of adaptively optimizing process parameters for energy efficient turning

Xiao, Q., Li, C., Tang, Y., Li, L. & Li, L., Jan 1 2019, In : Energy. 166, p. 142-156 15 p.

Research output: Contribution to journalArticle

Energy efficiency
Machining
Energy utilization
Inference engines
Association rules

An integrated approach for remanufacturing job shop scheduling with routing alternatives

Li, L., Li, C., Li, L., Tang, Y. & Yang, Q., Jan 1 2019, In : Mathematical Biosciences and Engineering. 16, 4, p. 2063-2085 23 p.

Research output: Contribution to journalArticle

Open Access
Remanufacturing
Job Shop Scheduling
Routing
Recovery
Petri nets

Deep Learning Based Modeling for Cutting Energy Consumed in CNC Turning Process

Xiao, Q., Li, C., Tang, Y., Du, Y. & Kou, Y., Jan 16 2019, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 1398-1403 6 p. 8616240. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning
Energy utilization
Bayesian networks
Machining
Neural networks