糖心视频

Publications

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4th World Congress on Artificial Intelligence in Materials & Manufacturing (2026)

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2nd Conference on Artificial Intelligence in Materials Science and Engineering, pp. #A-150 (2025)

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Journal of Materials Research and Technology Vol 30, pp. 3622-3639 (2024)

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Journal of Materials Research and Technology Vol 26, pp. 3146-3161 (2023)

Huang Yuhe, Gao Junheng, , Guan Dikai, Goodall Russell, Dye David, Wang Shuize, Zhu Qiang, Wrainforth Mark, Todd Iain

Journal of Materials Science and Technology Vol 124, pp. 217-231 (2022)

, McAuliffe Thomas P, Hardy Mark C, Dye David, Bantounas Ioannis

Acta Materialia Vol 232 (2022)

Professional Activities

Advisor

2/3/2026

Examiner

18/2/2026

Peer reviewer

9/4/2025

Peer reviewer

4/1/2025

Peer reviewer

4/1/2025

Editorial board member

2025

Projects

Vorontsov, Vassili (Principal Investigator) Wong, Andy TC (Co-investigator) Iwediba, Isaac Ifeanyi (Research Co-investigator)

01-Jan-2023 - 01-Jan-2027

Vorontsov, Vassili (Principal Investigator) Rahimi, Salaheddin (Co-investigator) Dogan, Gulsum (Research Co-investigator)

01-Jan-2022 - 01-Jan-2025

Wynne, Bradley (Principal Investigator) Rahimi, Salaheddin (Co-investigator) Vorontsov, Vassili (Co-investigator)

01-Jan-2020 - 31-Jan-2024

Vorontsov, Vassili (Principal Investigator) Rahimi, Salaheddin (Co-investigator) Catterson, John Conor (Research Co-investigator)

01-Jan-2019 - 01-Jan-2024

Vorontsov, Vassili (Principal Investigator)

01-Jan-2019 - 30-Jan-2024

Vorontsov, Vassili (Principal Investigator)

Next-generation metallurgical manufacturing requires a new level of understanding of how metals and alloys deform under multi-directional loading. The project will address this critical knowledge gap by developing a miniature bi-axial mechanical testing apparatus for in-situ studies inside a scanning electron microscope (SEM). Deformation of materials is often modelled on their uniaxial test characteristics. However, many modern metal-forming processes subject alloys to very complex loading regimes. The limited practical understanding of plastic deformation under multi-axial loading can place constraints on the geometry of the manufactured components. Bi-axial testing provides valuable insight about the intricate deformation mechanics of these processes. The constructed miniature load-frame will be used to investigate microstructure-level deformation of selected high-performance structural alloys in order to characterise component-scale deformation. Digital image correlation and crystal orientation mapping (electron back-scatter diffraction, EBSD) will be used to measure the degree to which deformation is localised at the different microstructural features of the alloys. The studies will identify distinctions between uniaxial and bi-axial deformation behaviour in modern microstructurally complex alloys produced via conventional and additive manufacturing techniques. The results will be used to develop new theories for the deformation of different types of alloy microstructures. These improved models will enable the development and optimisation of novel resource-efficient metal-forming and additive manufacturing processes that produce lighter components with superior structural integrity.

01-Jan-2019 - 30-Jan-2023