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Development of New Aluminium Alloys through Big Data Analytics (2018–2021)

Abstract:
This project aims to address a long-term problem to effectively discover new alloys and processes using big data analytics. It expects to develop a few new and high-performance aluminium alloys through interdisciplinary research and to generate new knowledge in the area of materials science from investigation of the strengthening and toughening mechanisms. The intended outcomes also include a validated a big data analytic model for new alloy development, which further enhances the interdisciplinary collaboration. The high performance aluminium alloys should provide significant benefits to automotive and aerospace industries as these sectors target at improving fuel efficiency through weight reduction at lower cost.
Grant type:
ARC Discovery Projects
Researchers:

  • Professor Mingxing Zhang

    Professor
    School of Mechanical and Mining Engineering
    Faculty of Engineering, Architecture and Information Technology

  • Professor Xue Li

    Professor
    School of Electrical Engineering and Computer Science
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council