Development of new aluminium alloys through big data analytics. This project aims to address a long-term problem to effectively discover new alloys and processes using big data analytics. It expects to develop new and high-performance aluminium alloys 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 big data analytic model for new alloy development, which further enhan ....Development of new aluminium alloys through big data analytics. This project aims to address a long-term problem to effectively discover new alloys and processes using big data analytics. It expects to develop new and high-performance aluminium alloys 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 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.Read moreRead less
A comprehensive theoretical and simulation model for control of nucleation, prediction of as-cast grain size, and design of grain refining technology. The research will generate know-how and methods for predicting the as-cast microstructure of all metallic alloys. The outcomes enable the design of commercially viable grain refining technologies, and the development of novel microstructures that will improve the properties and quality of new products and contribute to waste and energy reduction.
Theoretical model that predicts the grain size of alloys inoculated with micro- and nano- particle master alloys and cast under an external field. The aim of this project is to develop a theoretical model that predicts grain size when components are cast under the influence of external fields (electromagnetic, ultrasonic, pulsed electric current and melt shearing treatments) and with the addition of nano-particle master alloys. Refining microstructures by available master alloys is reaching a li ....Theoretical model that predicts the grain size of alloys inoculated with micro- and nano- particle master alloys and cast under an external field. The aim of this project is to develop a theoretical model that predicts grain size when components are cast under the influence of external fields (electromagnetic, ultrasonic, pulsed electric current and melt shearing treatments) and with the addition of nano-particle master alloys. Refining microstructures by available master alloys is reaching a limit and this limits further improvement in mechanical properties to meet the challenge of new applications requiring, for example, high temperature properties or light weighting (for example, use of less material). The outcomes will be a new theoretical model, validated numerical models, new casting technologies and highly refined alloys with greater than 25 per cent improvement in mechanical properties. Read moreRead less