Dynamic model assisted fault diagnostics of wind turbine gearbox. This project aims to develop novel condition monitoring methodologies for the gearbox of large horizontal-axis wind turbines which are widely installed in wind farms for generating renewable energy. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital twin-based approaches. Expected outcomes of this project include new vibration-based methods for fault diagnostic ....Dynamic model assisted fault diagnostics of wind turbine gearbox. This project aims to develop novel condition monitoring methodologies for the gearbox of large horizontal-axis wind turbines which are widely installed in wind farms for generating renewable energy. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital twin-based approaches. Expected outcomes of this project include new vibration-based methods for fault diagnostics and predictions of the remaining useful life of turbine gearboxes. This should provide significant benefits to the Australian Wind Industry by ensuring reliable operation of wind turbines, reducing turbine downtime and reducing operation and maintenance costs; ultimately lowering the cost of energy from wind.Read moreRead less
A multi-scale theory for solid-granular transition due to fragmentation. The prediction of rock fragmentation and fragment sizes during its phase transition from solid (rock mass) to granular (ore fragments) is the most crucial problem in a cave mining operation. Current practice relies on empirical tools without fundamentals of fracture, and hence cannot reliably predict the fragmentation process and fragment sizes. This can lead to huge economic loss due to damage to extraction points, hold-up ....A multi-scale theory for solid-granular transition due to fragmentation. The prediction of rock fragmentation and fragment sizes during its phase transition from solid (rock mass) to granular (ore fragments) is the most crucial problem in a cave mining operation. Current practice relies on empirical tools without fundamentals of fracture, and hence cannot reliably predict the fragmentation process and fragment sizes. This can lead to huge economic loss due to damage to extraction points, hold-ups for safety precautions, and mine closures. The project will develop a new theory and models to describe this solid-granular transition, and computational tools for simulations of cave mining operations. The expected benefits and outcomes include safer operations, and better control of production schedule and budgeting.Read moreRead less
Energy dissipation characterisation in dynamic brittle fracture. Energy dissipation in dynamic fracture of brittle materials is pivotal in mining, civil engineering and defence. The project aims to develop a novel experimentally-validated multiscale theory, with associated models, for characterising and predicting the complete dynamic fracture process of brittle materials. This theory is expected to generate close-to-reality simulations critical for understanding fundamental aspects of energy di ....Energy dissipation characterisation in dynamic brittle fracture. Energy dissipation in dynamic fracture of brittle materials is pivotal in mining, civil engineering and defence. The project aims to develop a novel experimentally-validated multiscale theory, with associated models, for characterising and predicting the complete dynamic fracture process of brittle materials. This theory is expected to generate close-to-reality simulations critical for understanding fundamental aspects of energy dissipation in dynamic fracture. The outcomes will enable an optimised control of the fragment size in block cave mining and mineral processing, forecast and prevent fatal rock bursts in underground mines, and minimise catastrophic failures in critical infrastructures challenged by extreme loading, e.g. explosions.Read moreRead less
Advanced hydrodynamics for next generation of offshore infrastructure. This project aims to develop rigorous and precise prediction models for next generation offshore infrastructure, by capturing nonlinear wave-structure interaction. This project expects to generate new knowledge in offshore hydrodynamics (a branch of fluid mechanics) applicable to Ocean Engineering, using cutting-edge numerical technology, state-of-the-art physical modelling, and unique full-scale field data. The expected outc ....Advanced hydrodynamics for next generation of offshore infrastructure. This project aims to develop rigorous and precise prediction models for next generation offshore infrastructure, by capturing nonlinear wave-structure interaction. This project expects to generate new knowledge in offshore hydrodynamics (a branch of fluid mechanics) applicable to Ocean Engineering, using cutting-edge numerical technology, state-of-the-art physical modelling, and unique full-scale field data. The expected outcomes include enhanced capacity to estimate hydrodynamic response and advanced design tools for floating wind, floating solar and offshore aquaculture. This will provide significant benefit by enabling cost-efficient and viable designs, thereby accelerating the development of offshore renewable energy.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH230100010
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Smart Process Design and Control . ARC Research Hub for Smart Process Design and Control aims to develop and apply advanced computational technologies to model and optimise complex multiphase processes by integrating the novel multiscale and AI modelling approaches. The outcomes include theories, computer models and simulation techniques, advanced knowledge about process modelling and optimisation, innovative technologies and processes for low carbon operations, and tens of ....ARC Research Hub for Smart Process Design and Control . ARC Research Hub for Smart Process Design and Control aims to develop and apply advanced computational technologies to model and optimise complex multiphase processes by integrating the novel multiscale and AI modelling approaches. The outcomes include theories, computer models and simulation techniques, advanced knowledge about process modelling and optimisation, innovative technologies and processes for low carbon operations, and tens of postdoc and PhD students through academic, industrial and international collaboration. Their application will significantly improve energy/process efficiency and reduce CO2 emission. The Hub will generate a significant impact on the mineral and metallurgical industries which are important to Australia.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100200
Funder
Australian Research Council
Funding Amount
$387,057.00
Summary
Advanced separation membrane for sustainable lithium mining and recycling . The project aims to develop and commercialise a novel membrane-based technology based on a newly invented lithium-selective ceramic-polymer membrane for low-cost and environmentally friendly lithium recovery and recycling from various sources. The project expects to generate deep knowledge in the design and scaling up of lithium ion separation membranes, and create a lithium extraction prototype for on-site lithium extr ....Advanced separation membrane for sustainable lithium mining and recycling . The project aims to develop and commercialise a novel membrane-based technology based on a newly invented lithium-selective ceramic-polymer membrane for low-cost and environmentally friendly lithium recovery and recycling from various sources. The project expects to generate deep knowledge in the design and scaling up of lithium ion separation membranes, and create a lithium extraction prototype for on-site lithium extraction testing. Expected outcomes of the project include full commercialisation of the lithium separation membrane and new intellectual property for establishing a new membrane manufacturing industry that is critically needed for transforming lithium mining and recycling industries.Read moreRead less
Big Data-based Distributed Control using a Behavioural Systems Framework. With Industry 4.0 turning into reality, industrial processes are becoming distributed cyber-physical systems which generate, process, store and communicate large amounts of data. Using the behavioural systems framework, this project aims to develop a novel distributed control approach for complex processes directly based on big process data. A new model-free framework will be developed to represent and analyse the process/ ....Big Data-based Distributed Control using a Behavioural Systems Framework. With Industry 4.0 turning into reality, industrial processes are becoming distributed cyber-physical systems which generate, process, store and communicate large amounts of data. Using the behavioural systems framework, this project aims to develop a novel distributed control approach for complex processes directly based on big process data. A new model-free framework will be developed to represent and analyse the process/controller networks and interaction effects, and determine the feasibility of desired control performance under distributed control. Novel big data-based distributed control design approaches will be developed by extending the dissipativity, contraction and differential dissipativity conditions for behavioural systems.Read moreRead less
Integrated Sensing and Communication for 6G Wireless Networks. The project aims to investigate the open challenging research problems for realising high-speed sixth-generation wireless networks with seamless networked sensing capabilities via integrated sensing and communication (ISAC). The significance of this project is expected to generate new knowledge of ISAC exploiting advanced communication theory, signal processing theory and optimisation theory. Expected outcomes of this project include ....Integrated Sensing and Communication for 6G Wireless Networks. The project aims to investigate the open challenging research problems for realising high-speed sixth-generation wireless networks with seamless networked sensing capabilities via integrated sensing and communication (ISAC). The significance of this project is expected to generate new knowledge of ISAC exploiting advanced communication theory, signal processing theory and optimisation theory. Expected outcomes of this project include pragmatic robust beamforming, joint channel and sensing parameters estimation, resource allocation designs and a system-level analysis as the foundations and tools to unleash the full potential of ISAC. These should provide significant economic benefits to wireless service providers and mobile users worldwide.Read moreRead less
Intelligent Reflecting Surface-enabled High-speed 6G Wireless Networks. Intelligent reflecting surface (IRS) is a ground-breaking wireless technology essential for the development of future sixth-generation (6G) wireless communication networks. This project aims to develop fundamental communication theories and practical solutions to characterise and optimise IRS-based communication. The project expects to design novel channel estimation, robust beamforming, resource allocation and analytical fr ....Intelligent Reflecting Surface-enabled High-speed 6G Wireless Networks. Intelligent reflecting surface (IRS) is a ground-breaking wireless technology essential for the development of future sixth-generation (6G) wireless communication networks. This project aims to develop fundamental communication theories and practical solutions to characterise and optimise IRS-based communication. The project expects to design novel channel estimation, robust beamforming, resource allocation and analytical framework to address the significant scientific challenges for the development of IRS for enabling high-speed 6G networks. These outcomes are expected to contribute to a new type of wireless infrastructure which paves the way for building and transforming the Australian information and communications technology industries.Read moreRead less