Next generation nondestructive inspection using guided-wave mixing. This project aims to develop a novel approach for early damage detection. It relies on a systematic experimental investigation of nonlinear ultrasonic interaction between different input wave modes in the presence of damage, so as to identify optimal mode selections and operating parameters that will maximise the sensitivity to particular forms of structural damage. The effects of in-service loading on wave-mixing response, and ....Next generation nondestructive inspection using guided-wave mixing. This project aims to develop a novel approach for early damage detection. It relies on a systematic experimental investigation of nonlinear ultrasonic interaction between different input wave modes in the presence of damage, so as to identify optimal mode selections and operating parameters that will maximise the sensitivity to particular forms of structural damage. The effects of in-service loading on wave-mixing response, and non-contact detection suitable for hard-to-inspect surface conditions, will also be investigated. The new developments will help transform existing schedule-based maintenance practice to a condition-based maintenance paradigm, to achieve significant cost savings in maintenance.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
Assessing reservoir performance for carbon storage in saline aquifers. This project aims to develop a multiscale framework of site characterisation for carbon storage in deep saline aquifers and calculate measures of injectivity, storage capacity and containment. Carbon capture and storage could reduce carbon emissions within two decades. Carbon dioxide emissions are the most important drivers of climate change, with detrimental effects on humans and their environment, including water security, ....Assessing reservoir performance for carbon storage in saline aquifers. This project aims to develop a multiscale framework of site characterisation for carbon storage in deep saline aquifers and calculate measures of injectivity, storage capacity and containment. Carbon capture and storage could reduce carbon emissions within two decades. Carbon dioxide emissions are the most important drivers of climate change, with detrimental effects on humans and their environment, including water security, agriculture, coastal communities, and infrastructure. This project will improve assessment of reservoir performance for carbon storage in saline aquifers, and help reduce carbon emissions.Read moreRead less
Multiscale modelling of multiphase interactions in shale gas reservoirs. As conventional oil and gas become depleted in most of the producing basins, extraction of unconventional gas trapped in shale formations needs to become more viable. Since Australian shales have different characteristics from North American ones, the existing knowledge cannot be directly applied. We aim to develop a novel multiscale framework for deep understanding of the complex multiphase interactions in shale gas reserv ....Multiscale modelling of multiphase interactions in shale gas reservoirs. As conventional oil and gas become depleted in most of the producing basins, extraction of unconventional gas trapped in shale formations needs to become more viable. Since Australian shales have different characteristics from North American ones, the existing knowledge cannot be directly applied. We aim to develop a novel multiscale framework for deep understanding of the complex multiphase interactions in shale gas reservoirs. The outcomes will not only enable us to effectively assess the viability of gas extraction from Australian shale reservoirs with accurate long-term production forecasting, but help to develop strategies to effectively extract this relatively low carbon-emitting fossil fuel in the transition to a renewable economy.Read moreRead less
Advanced materials for space propulsion: satellites and cubesats. Poorly controlled interactions between plasmas and surfaces often mean loss of process efficiency and surface degradation over time. For Hall thrusters, a type of engine used to move satellites in space, this means increased fuel consumption and shorter useful life. Through modelling and experiment, this project will show how intelligent selection of advanced materials and plasma parameters can minimise surface wear, enable in sit ....Advanced materials for space propulsion: satellites and cubesats. Poorly controlled interactions between plasmas and surfaces often mean loss of process efficiency and surface degradation over time. For Hall thrusters, a type of engine used to move satellites in space, this means increased fuel consumption and shorter useful life. Through modelling and experiment, this project will show how intelligent selection of advanced materials and plasma parameters can minimise surface wear, enable in situ material repair to extend device lifetime, and modulate plasma properties to increase thruster efficiency for a given task. These benefits enable reliable propulsion platforms for massive communication and observation satellite networks and deep space exploration.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC180100030
Funder
Australian Research Council
Funding Amount
$3,925,357.00
Summary
ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching ....ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.Read moreRead less
Towards autonomous structural safety prognostics: integrating in-situ imaging and predictive modelling. This project aims to advance a scientific basis for autonomous safety prognostics by developing predictive models and in-situ damage imaging principles. Development of this new health prognostic approach will overcome the significant challenge of safety assurance of composite structures in the presence of in-service damage, which is largely hidden.
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
A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural netw ....A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural networks trained on lab-scale and synthetic data to field implementation. The outcome is a machine learning framework to optimise biogas harvesting and renewable energy generation, and to avoid structural failure, that is capable of continuous improvement to take into account improved data and/or modelling capabilities.Read moreRead less