Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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Collection's Items (Sorted by Submit Date in Descending order): 1 to 8 of 8
| Issue Date | Title | Author(s) |
|---|---|---|
| 2024 | Modelling of precipitation hardening during non-isothermal thermomechanical treatment of 6 series aluminium alloys | Gharavian, Somayeh |
| 2025 | Rationalisation of aluminium alloys using machine learning and Artificial Intelligence | Tiwari, Tanu |
| 2025 | Rationalisation of steel grades and specifications using machine learning techniques | Sadegh, Jalalian |
| 2025 | Machine learning for alloy design: Interpolation, extrapolation, and dataset integration in the prediction of 6xxx-series aluminium alloy properties | Birchall, Adam |
| 2025 | Developing diagnostic methods for fatigue damage assessment | Izadi Najafabadi, Maryam |
| 2024 | Applications of the MC-DC casting technology to 6xxx series automotive aluminium alloys | Katikaridou, Kyriaki |
| 2024 | Strain enhanced strengthening during thermomechanical ageing of an automotive aluminium alloy | Essien, Aniekanabasi |
| 2024 | Influence of grain morphology on strengthening of aluminium and magnesium alloys | Keerti, Shishir |
Collection's Items (Sorted by Submit Date in Descending order): 1 to 8 of 8