Prof. WANG Lu
王露

Assistant Professor

  • Ph.D., National University of Singapore, 2023
  • M.S., Huazhong University of Science and Technology, 2016
  • B.S., Huazhong University of Science and Technology, 2013
Office
YUENG-P6431
Phone
(+852) 3442-9464
Research Interests
  • Advanced Manufacturing
  • Additive Manufacturing
  • Computational Mechanics
  • Microstructure Evolution
  • Mechanical Performance
  • Machine Learning
Biography

Prof. Lu Wang is currently an Assistant Professor in the Department of Mechanical Engineering at the City University of Hong Kong (CityU). Before joining CityU, he served as a research fellow at the National University of Singapore (NUS) from 2023 to 2024. He earned his Ph.D. from NUS in 2023 and completed his Master’s and Bachelor’s degrees at Huazhong University of Science and Technology (HUST) in 2016 and 2013, respectively.

His research focuses on advanced manufacturing, with a particular emphasis on next-generation digital and smart manufacturing enabled by high-fidelity multi-scale, multi-physics modeling and advanced in-situ experiments. By integrating numerical simulations with advanced experimental observations, he investigates defect formation mechanisms, analyzes microstructure evolution, and optimizes structural performance during advanced manufacturing processes.

He has published papers in prestigious academic journals, including Advanced Functional Materials, npj Computational Materials, International Journal of Machine Tools and Manufacture, Physical Review Applied, Additive Manufacturing, etc. Additionally, he serves as a reviewer for esteemed journals such as Nature Communications, npj Computational Materials, Additive Manufacturing, Materials & Design, etc.

Professional Experience

06/2023 – 08/2024, Research Fellow, National University of Singapore, Singapore, Advisor: Dr. Wentao YAN

Honors and Awards
  • Chinese Government Award for Outstanding Self-financed Students Abroad, China, 2022 (Highest government award granted by the Chinese government for Chinese student overseas)
  • 7 awards in 2022 NIST Additive Manufacturing Benchmark Simulation Challenges (total 40 awards presented for 25 tests), the biggest winner in all teams
  • NUS Research Scholarship, NUS, 2019-2023
Publications
  1. Wang, L., Guo, Z., Peng, G., Wu, S., Zhang, Y., & Yan, W. (2024). Evaporation‐Induced Composition Evolution in Metal Additive Manufacturing. Advanced Functional Materials, 2412071.
  2. Wang, L., Zhang, Y., Chia, H. Y., & Yan, W. (2022). Mechanism of keyhole pore formation in metal additive manufacturing. Npj Computational Materials, 8(1), 22. (ESI 1% highly cited paper)
  3. Wang, L., Guo, Q., Chen, L., & Yan, W. (2023). In-situ experimental and high-fidelity modelling tools to advance understanding of metal additive manufacturing. International Journal of Machine Tools and Manufacture, 104077.
  4. Wang, L., Zhang, Y., & Yan, W. (2020). Evaporation model for keyhole dynamics during additive manufacturing of metal. Physical Review Applied, 14(6), 064039.
  5. Wang, L., & Yan, W. (2021). Thermoelectric magnetohydrodynamic model for laser-based metal additive manufacturing. Physical Review Applied, 15(6), 064051.
  6. Wang, L., Wang, S., Zhang, Y., & Yan, W. (2023). Multi-phase flow simulation of powder streaming in laser-based directed energy deposition. International Journal of Heat and Mass Transfer, 212, 124240.
  7. Wang, Y.#, Wang, L.#, Liu, D., Miao, B., Wu, H., Pei, J., ... & Yuan, G. (2023). Mechanisms of processing map difference between laser powder bed fusion of Mg solid cubes and lattice structures. Additive Manufacturing, 76, 103773.  
  8. Zhang, S.#, Ding, M.#, Wang, L.#, Ge, W., & Yan, W. (2022). Laser powder bed fusion of diamond/N6 MMCs enabled by Ni-Ti coated diamond particles. Materials & Design, 217, 110635.
  9. Chia, H. Y., Zhang, Y., Wang, L., & Yan, W. (2024). Unveiling gas–liquid metal reactions in metal additive manufacturing: High-fidelity modeling validated with experiments. Acta Materialia, 275, 120029.
  10. Chia, H. Y., Wang, L., & Yan, W. (2023). Influence of oxygen content on melt pool dynamics in metal additive manufacturing: High-fidelity modeling with experimental validation. Acta Materialia, 249, 118824.
  11. Zhang, Y., Yu, Y., Wang, L., Li, Y., Lin, F., & Yan, W. (2022). Dispersion of reinforcing micro-particles in the powder bed fusion additive manufacturing of metal matrix composites. Acta Materialia, 235, 118086.
  12. Du, D., Wang, L., Dong, A., Yan, W., Zhu, G., & Sun, B. (2022). Promoting the densification and grain refinement with assistance of static magnetic field in laser powder bed fusion. International Journal of Machine Tools and Manufacture, 183, 103965.
  13. Hu, D., Grilli, N., Wang, L., Yang, M., & Yan, W. (2022). Microscale residual stresses in additively manufactured stainless steel: Computational simulation. Journal of the Mechanics and Physics of Solids, 161, 104822.
  14. Yang, M., Wang, L., & Yan, W. (2021). Phase-field modeling of grain evolutions in additive manufacturing from nucleation, growth, to coarsening. Npj Computational Materials, 7(1), 56.
Book Publications

​​​​Wang, L., Yu, Y., Hu, D., & Yan, W. (2023). Multiscale modeling applied to additive manufacturing. In Fundamentals of Multiscale Modeling of Structural Materials (pp. 333-388). Elsevier. (Chapter 9)

Position Available

Multiple positions for PhD students, Joint/Collaborative PhD students, Research Assistants, and Postdoctoral Fellows are available. Visiting students and scholars are also welcome. Please feel free to contact me at lu.wang@cityu.edu.hk