Multiscale engineering of durable absorber coatings for solar thermal power. This project aims to advance the long-term stability and efficiency of high-temperature absorber coatings for Concentrated Solar Power (CSP) plants. Solar energy is a vast and largely untapped resource in Australia. The project will design superior light absorbers and scalable and low-cost approaches for their fabrication. Optimal absorber properties will be achieved by multi-scale engineering of the coating composition ....Multiscale engineering of durable absorber coatings for solar thermal power. This project aims to advance the long-term stability and efficiency of high-temperature absorber coatings for Concentrated Solar Power (CSP) plants. Solar energy is a vast and largely untapped resource in Australia. The project will design superior light absorbers and scalable and low-cost approaches for their fabrication. Optimal absorber properties will be achieved by multi-scale engineering of the coating composition and micro-texturing via modelling of the light absorption and heat transport within these complex nanocomposite structures. The intended outcome of the project is a set of commercially competitive absorber coatings, with superior performance and durability, that support the development of CSP as a competitive technology for energy generation.Read moreRead less
Topology optimisation of mechanical metamaterials with additive manufacture. Metamaterials have sparked a surge of interest with potential applications as diverse as biomedical implants, ballistic barriers, and acoustic cloaks. This project aims to develop topology optimisation technology, with the marriage of additive manufacturing for computational design of mechanical metamaterials of pentamode, which are a new class of artificial composites engineered to have elastic properties not easily fo ....Topology optimisation of mechanical metamaterials with additive manufacture. Metamaterials have sparked a surge of interest with potential applications as diverse as biomedical implants, ballistic barriers, and acoustic cloaks. This project aims to develop topology optimisation technology, with the marriage of additive manufacturing for computational design of mechanical metamaterials of pentamode, which are a new class of artificial composites engineered to have elastic properties not easily found in nature. This approach aims to create novel metamaterials to have extraordinary properties and complex geometries that can be easily fabricated. Potential applications may include defense, vehicles, biomedicine, marine uses, energy and cloaks.Read moreRead less
Dominant flow noise source identification for ducted marine propellers. Ducted marine propellers are becoming an increasing alternative to conventional open propellers. Understanding flow-induced noise generated by ducted propellers is a key consideration in the design process to minimise noise emission. This project aims to develop new methods to identify turbulent flow sources of a ducted marine propeller that dominate sound. High-fidelity numerical methods will be developed to study the compl ....Dominant flow noise source identification for ducted marine propellers. Ducted marine propellers are becoming an increasing alternative to conventional open propellers. Understanding flow-induced noise generated by ducted propellers is a key consideration in the design process to minimise noise emission. This project aims to develop new methods to identify turbulent flow sources of a ducted marine propeller that dominate sound. High-fidelity numerical methods will be developed to study the complex interaction between inflow turbulence, support struts, propeller blades and duct structure. Successful identification of the dominant sources of noise will allow for targeted noise mitigation strategies with significant impact for stealth of military vessels and reduction of underwater noise pollution on marine life.Read moreRead less
Baseline-free Methods for Early Damage Diagnosis using Nonlinear Ultrasound. To address the significant limitation of existing non-destructive evaluation techniques in detecting and characterising early damage, this project aims to discover the physical nature of self-generated nonlinear waves by structural damage and to explore its potential for an entirely new class of non-destructive evaluation and structural health monitoring techniques. Major applications are expected to include a baseline- ....Baseline-free Methods for Early Damage Diagnosis using Nonlinear Ultrasound. To address the significant limitation of existing non-destructive evaluation techniques in detecting and characterising early damage, this project aims to discover the physical nature of self-generated nonlinear waves by structural damage and to explore its potential for an entirely new class of non-destructive evaluation and structural health monitoring techniques. Major applications are expected to include a baseline-free structural health monitoring technique capable of detecting and quantifying barely-visible impact damage in advanced composite materials, non-destructive evaluation of structures made by additive manufacturing, and detection of hard-to-inspect locations in unitised structures.Read moreRead less
Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning progra ....Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning program to select optimal model parameters from which computational algorithms will optimise grinding mill geometries. This research project will deliver substantial improvements to equipment used to process our most valuable exports and result in immediate industry impact.Read moreRead less