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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.

Experts

Professor Mingxing Zhang

Affiliate of Centre for Advanced Materials Processing and Manufacturing (AMPAM)
Centre for Advanced Materials Processing and Manufacturing
Faculty of Engineering, Architecture and Information Technology
Professor
School of Mechanical and Mining Engineering
Faculty of Engineering, Architecture and Information Technology
Mingxing Zhang
Mingxing Zhang

Professor Xue Li

Affiliate of ARC COE for Children and Families Over the Lifecourse
ARC Centre of Excellence: Children and Families Over the Lifecourse
Faculty of Humanities, Arts and Social Sciences
Professor
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Xue Li
Xue Li