Industrial Transformation Training Centres - Grant ID: IC180100024
Funder
Australian Research Council
Funding Amount
$4,000,000.00
Summary
ARC Training Centre for Medical Implant Technologies. The ARC Training Centre for Medical Implant Technologies aims to train a new generation of interdisciplinary engineers and to transform the orthopaedic and maxillofacial implant industry in Australia. In collaboration with industry, universities and hospitals, the Centre will build a dynamic training environment for interdisciplinary engineers to develop and evaluate personalised implants and surgeries. It will create new networks, internatio ....ARC Training Centre for Medical Implant Technologies. The ARC Training Centre for Medical Implant Technologies aims to train a new generation of interdisciplinary engineers and to transform the orthopaedic and maxillofacial implant industry in Australia. In collaboration with industry, universities and hospitals, the Centre will build a dynamic training environment for interdisciplinary engineers to develop and evaluate personalised implants and surgeries. It will create new networks, international collaborations and a generation of industry-ready researchers critical for growing Australia’s industry. The advances in materials and savings in time for procedures will reduce costs.
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Positrons in biosystems. This project aims to improve our understanding of the damage processes in Positron Emission Tomography (PET). PET is a widely used medical imaging technique, but there are gaps in our understanding of the underlying interactions, in particular in the case of the radiation damage induced during the process. By using new models incorporating accurate descriptions of interactions processes, verified by experimental measurement, this project will develop a new model of posit ....Positrons in biosystems. This project aims to improve our understanding of the damage processes in Positron Emission Tomography (PET). PET is a widely used medical imaging technique, but there are gaps in our understanding of the underlying interactions, in particular in the case of the radiation damage induced during the process. By using new models incorporating accurate descriptions of interactions processes, verified by experimental measurement, this project will develop a new model of positron transport in PET. The project will allow validation of predictions from the model by undertaking experiments in liquid water.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100026
Funder
Australian Research Council
Funding Amount
$4,969,663.00
Summary
ARC Training Centre for Cell and Tissue Engineering Technologies. The ARC Training Centre for Cell and Tissue Engineering Technologies aims to provide training to create a highly skilled workforce for the tissue engineering and regenerative medicine sector and to enhance research performance and innovation in Australia through fundamental and applied research carried out in industry-led PhD projects. The research aims to address major aspects of the manufacturing and commercialisation pathway an ....ARC Training Centre for Cell and Tissue Engineering Technologies. The ARC Training Centre for Cell and Tissue Engineering Technologies aims to provide training to create a highly skilled workforce for the tissue engineering and regenerative medicine sector and to enhance research performance and innovation in Australia through fundamental and applied research carried out in industry-led PhD projects. The research aims to address major aspects of the manufacturing and commercialisation pathway and barriers faced by the sector, namely improving process efficiencies, enabling early-stage scale-up (cell/tissue) and development of the sector's supply chain. The knowledge created and research undertaken would help to accelerate commercialisation in regenerative medicine, tissue engineering and cell therapies.Read moreRead less
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
Fatigue Life Assessment of Structures under Realistic Loading Conditions. The project will develop a new methodology for the assessment of fatigue life of structures subjected to realistic loading conditions. This new methodology is based on recent advances in experimental techniques which make possible, for the first time, the investigation of the crack opening/closure mechanisms and the crack driving force for large numbers of fatigue cycles (>1 million) of variable amplitude, representative o ....Fatigue Life Assessment of Structures under Realistic Loading Conditions. The project will develop a new methodology for the assessment of fatigue life of structures subjected to realistic loading conditions. This new methodology is based on recent advances in experimental techniques which make possible, for the first time, the investigation of the crack opening/closure mechanisms and the crack driving force for large numbers of fatigue cycles (>1 million) of variable amplitude, representative of real-world applications. The project will expand Australia’s knowledge base and research capabilities in structural life prognosis. It will increase the competitiveness of domestic products and industries, fostering international collaborations and leadership of Australia in this strategically important area of research.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
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.Read moreRead less
Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expect ....Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expected outcomes include protocol to accurately monitor emissions, models to predict emission under various conditions, and mitigation guideline for typical plant configurations. The anticipated benefit is a significant reduction in GHG emissions from urban water industry and support it to meet net-zero-emission goal by 2050.Read moreRead less
Engineered plant receptors as orthogonal neuronal switches. This project aims to develop synthetic biology methods to study brain function by utilising engineered plant receptors. This project will expand our ability to manipulate nerve cell function with high specificity and without side effects in freely behaving animals. Plant receptors will be developed into molecular tools in an iterative process that improves key properties using rational protein design. Expected outcomes include innovativ ....Engineered plant receptors as orthogonal neuronal switches. This project aims to develop synthetic biology methods to study brain function by utilising engineered plant receptors. This project will expand our ability to manipulate nerve cell function with high specificity and without side effects in freely behaving animals. Plant receptors will be developed into molecular tools in an iterative process that improves key properties using rational protein design. Expected outcomes include innovative and broadly-applicable neuroscience methods and an understanding of receptors involved in plant growth and defense. Benefits of this project include an enhanced capacity to generate knowledge, multidisciplinary training opportunities and patentable synthetic biology technologies.Read moreRead less