Biography

Prof. Hongtao Zhu

Head of Postgraduate Studies
Faculty of Engineering and Information Sciences
University of Wollongong, Australia


Email: [email protected]


Qualifications

2000 Ph.D., Northeastern University, Materials Processing Technology

1996 M.Eng., Northeastern University, Materials Processing Technology

1993 B.Eng., Northeastern University, Materials Processing Technology


Publications (Selected)

  1. Huang, W., Zhao, X., Cui, K., et al. (2026). Residual stress analysis in wire arc cladding: Influence of cladding material, interpass temperature and thickness parameters. Journal of Materials Research and Technology.
  2. Hobhaydar, A., Wang, X., Li, H., et al. (2026). Influence of short-range ordering on mechanical properties of FeCrV-based refractory medium entropy alloys via deep neural network potentials. Journal of Materials Science & Technology, 248, 155–164.
  3. Chen, Z., Yuan, L., Mu, H., et al. (2026). Long-horizon spatiotemporal thermal propagation for directed energy deposition: A data-driven geometry-aware liquid neural algorithm. Journal of Manufacturing Processes, 158, 1–23.
  4. Chen, T., Ma, Y., Huang, Q., et al. (2026). Preparation and characterization of high electrical conductivity and corrosion resistant black passivation film on Zn-Ni alloy coating of AA2024 substrates. Journal of Alloys and Compounds, 185976.
  5. Chen, Z., Mu, H., Zhang, Z., et al. (2026). Graph neural operator: A DeepONet-based framework for learning thermo-mechanical distortion in metallic additive manufacturing. Additive Manufacturing, 105063.
  6. Zhu, P., Ma, S., Han, Q., et al. (2025). Deep spiking transfer learning for rotating machinery fault diagnosis. Mechanical Systems and Signal Processing, 241, 113499.
  7. Zhang, Z., Ma, Y., Su, L., et al. (2025). Significance of heat-affected zone softening on the structural integrity of undermatched X70 pipeline girth welds. International Journal of Pressure Vessels and Piping, 218, 105592.
  8. Chen, T., Ma, Y., Huang, Q., et al. (2025). Preparation and characterization of Zn-Ni alloy coated passivation films with corrosion resistance and electrical conductivity by adding different metal ion coloring. Materials Chemistry and Physics, 131809.
  9. Ju, J., Wang, X., Xiao, B., et al. (2025). Eliminating intergranular oxidation and microstructural instability in chemically complex intermetallic alloys featuring nano-disorder interfaces. Corrosion Science, 113422.
  10. Wang, Y., Zhu, H., Wang, Z., et al. (2025). Low-Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review. Advanced Engineering Materials, 27(17), 2402533.
  11. Chen, Z., Mu, H., He, F., et al. (2025). A physics-informed machine learning approach for temperature field prediction in metallic additive manufacturing. Journal of Industrial Information Integration, 47, 100899.
  12. Zhu, H., Wang, X., Hobhaydar, A., et al. (2025). Deciphering Short-Range Order Driven Mechanical Enhancement in CrTaTiMo Refractory Alloys via Machine-learning Potential and Experimental Validation.
  13. Xu, S., Ma, S., Han, Q., et al. (2025). Deep sequential adaptive reinforcement learning for manufacturing process optimization. Advanced Engineering Informatics, 66, 103456.
  14. Hobhaydar, A., Wang, X., Li, H., et al. (2025). Oxidation mechanisms of (FeCr2V)92%W8% medium entropy alloy for nuclear application: Insight from Ab Initio study. Langmuir, 41(22), 13881–13891.
  15. Wu, X., Su, L., Tieu, A. K., et al. (2025). Study on microstructure, mechanical and tribological properties of a novel high-entropy alloy based self-lubricating composite Al0.5CrFeNiV0.5-hBN. Journal of Alloys and Compounds, 1026, 180402.
  16. Chen, Z., Yuan, L., Pan, Z., et al. (2025). A comprehensive review and future perspectives of simulation approaches in wire arc additive manufacturing (WAAM). International Journal of Extreme Manufacturing, 7(2), 022016.
  17. Tian, Y., Tan, Z., Li, H., et al. (2025). Tread evolution of bainitic heavy-haul freight wheels due to progressive heat accumulations from cyclic drag braking. Engineering Failure Analysis, 171, 109344.
  18. Hobhaydar, A., Wang, X., Wang, Y., et al. (2025). An integrated experimental and Ab initio study on irradiation resistance and mechanical properties of FeCr2V-based refractory medium entropy alloys. Computational Materials Science, 251, 113748.
  19. Nguyen, V. D. X., Tieu, A. K., Andre, D., et al. (2025). Numerical investigation of erosive wear considering surface degradation using coupled CFD-DEM and a bond model. arXiv preprint arXiv:2503.00007.
  20. Wu, X., Su, L., Tieu, A. K., et al. (2025). Microstructure, mechanical properties and high-temperature sliding wear response of a new Al0.5CrFeNiV0.5 high-entropy alloy. Wear, 562, 205634.
  21. Chen, T., Ma, Y., Zhu, H., et al. (2025). Preparation and characterization of trivalent chromium conversion films containing Cr(NO3)3 and Co(NO3)2 on Zn-Ni electroplated films of 2024 aluminum alloy. Anti-Corrosion Methods and Materials, 72(2), 236–247.
  22. Hu, X., Kiet, A. T., Deng, G., et al. (2025). Tribological performance evaluation of YSZ-NiCrAlY gradient materials by tribometer and nanoscratch. Tribology International, 202, 110292.
  23. Wu, X., Su, L., Tieu, A. K., et al. (2025). Impact of vanadium (V) content on in-situ oxidation, high temperature mechanical strength and tribological properties of Al0.5CrFeNiVx high entropy alloys. Tribology International, 202, 110375.
  24. Chen, T., Huang, Q., Zhu, H., et al. (2025). Preparation and characterisation of black conversion coating of Cr(NO3)3–CoCl2–NiCl2 of Zn–Ni alloy electroplated on 2024 aluminium alloy surface. Materials and Corrosion, 75(11), 1463–1471.
  25. Chen, T., Huang, Q., Zhu, H., et al. (2024). The characterisation of passivation and colouring of Zn-Ni electroplated 2024 aluminium alloy in the presence of Cu+. Transactions of the IMF, 102(5), 279–284.


Profile Details
https://scholars.uow.edu.au/hongtao-zhu
https://scholar.google.com/citations?user=bEXxW4EAAAAJ&hl=en
https://orcid.org/0000-0003-1405-7828
https://www.webofscience.com/wos/author/record/B-8894-2019


WOS ResearcherID: B-8894-2019

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