Manufacturing Nanostructured Polymer Thin Films using Visible Light. This research aims the development of selective photochemical tools driven by different colours of light for the fabrication of nanostructured polymer brush thin films. By using different wavelengths to selectively activate specific chemical reactions, this will enable multiple reactions to be performed simultaneously, significantly streamlining fabrication. Additionally, the increased selectivity offers pathways to more sophis ....Manufacturing Nanostructured Polymer Thin Films using Visible Light. This research aims the development of selective photochemical tools driven by different colours of light for the fabrication of nanostructured polymer brush thin films. By using different wavelengths to selectively activate specific chemical reactions, this will enable multiple reactions to be performed simultaneously, significantly streamlining fabrication. Additionally, the increased selectivity offers pathways to more sophisticated nanoarchitectures in comparison to existing methods. This research will lead to the fabrication of 3D polymer brush architectures with unparalleled precision, which will be of high scientific and industrial value for a diverse range of applications, such as optoelectronics, nanoactuation, and sensing.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH200100010
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Transformation of Reclaimed Waste Resources to Engineered Materials and Solutions for a Circular Economy. This project aims to create new knowledge to reduce waste going to landfills and transform reclaimed waste into new materials for use in construction and other manufacturing sectors. It integrates multisector input and multidisciplinary academic research to address ten challenging waste streams. Expected outcomes are smart materials, socio-technical change, accelerated t ....ARC Research Hub for Transformation of Reclaimed Waste Resources to Engineered Materials and Solutions for a Circular Economy. This project aims to create new knowledge to reduce waste going to landfills and transform reclaimed waste into new materials for use in construction and other manufacturing sectors. It integrates multisector input and multidisciplinary academic research to address ten challenging waste streams. Expected outcomes are smart materials, socio-technical change, accelerated testing methods, predictive modeling, circular life cycle costing and a trusted evidence base. Outcomes will lead to commercial benefits as well as jobs and a significant contribution to addressing the pressing environmental impacts of waste production, management, and re-use.Read moreRead less
Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the c ....Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the characteristics of the particles, their sources and spatial and temporal variation across different urban areas and time scales. Further, the impacts of changing fuels, vehicle technologies, and climate on future trends of the particles will be elucidated.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH210100025
Funder
Australian Research Council
Funding Amount
$4,379,165.00
Summary
ARC Research Hub for Advanced Manufacturing with 2D Materials (AM2D). Australia holds large resources of critical 2D minerals – key enablers of several existing and emerging technologies in Energy Storage, Purification and Printed Electronics. The AM2D hub aims to provide a sophisticated environment for researchers and an industrial translation platform for manufacturers; a hub where leading academics, bright students, and industry partners come together to learn, apply, collaborate, innovate, a ....ARC Research Hub for Advanced Manufacturing with 2D Materials (AM2D). Australia holds large resources of critical 2D minerals – key enablers of several existing and emerging technologies in Energy Storage, Purification and Printed Electronics. The AM2D hub aims to provide a sophisticated environment for researchers and an industrial translation platform for manufacturers; a hub where leading academics, bright students, and industry partners come together to learn, apply, collaborate, innovate, and deliver industry transformation in advanced manufacturing. Anticipated outcomes include the transformation of newly discovered materials into globally traded, high-value 2D products, enabling Australian industries to capture more wealth and jobs from this large and growing market.
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Industrial Transformation Research Hubs - Grant ID: IH170100009
Funder
Australian Research Council
Funding Amount
$4,000,000.00
Summary
ARC Research Hub for Energy-efficient Separation. The ARC Research Hub for Energy-efficient Separation aims to develop advanced separation materials, innovative products and smart processes to reduce the energy consumption of separation processes. The Research Hub will create a multi-disciplinary training platform, supplying a highly-trained workforce for the advanced manufacturing sector, particularly in separation technology–a growth area in which Australia can lead the world. The advancement ....ARC Research Hub for Energy-efficient Separation. The ARC Research Hub for Energy-efficient Separation aims to develop advanced separation materials, innovative products and smart processes to reduce the energy consumption of separation processes. The Research Hub will create a multi-disciplinary training platform, supplying a highly-trained workforce for the advanced manufacturing sector, particularly in separation technology–a growth area in which Australia can lead the world. The advancement of Australia’s capability as a world-leading technology provider in manufacturing advanced separation materials and equipment will enable Australian industry to become more energy-efficient and cost-competitive in a global economy.Read moreRead less
A novel quantitative risk assessment framework for fractured rock slopes. Rock slope instabilities present grave risks to life and to the serviceability of major Australian infrastructure such as mines, roads and railways, and to coastal recreation areas. This project aims at developing tools for the quantitative risk assessment of fractured rock slopes based on rigorous rock mechanics, numerical methods and probabilistic methods.
The research outcomes will improve our understanding of natural ....A novel quantitative risk assessment framework for fractured rock slopes. Rock slope instabilities present grave risks to life and to the serviceability of major Australian infrastructure such as mines, roads and railways, and to coastal recreation areas. This project aims at developing tools for the quantitative risk assessment of fractured rock slopes based on rigorous rock mechanics, numerical methods and probabilistic methods.
The research outcomes will improve our understanding of natural and engineering rock slopes, reduce the uncertainties in the prediction of the safety of infrastructures, and thus minimize the loss and damage. The research outcomes can also be used to maintain workplace safety in mining environments and avoid disruptions to production.
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Nanoscale heating towards high efficient nitrogen reduction reduction. This project aims to develop nanoscale heating technique using AC magnetic field for efficient synthesis of ammonia, widely used for fertiliser and having potential for hydrogen storage. This project is to introduce nanoscale heating concept by heating catalyst only but not solution in electrochemical catalysis to achieve high catalytic activity. Expected outcome is the creation of low cost catalysts having high selectivity a ....Nanoscale heating towards high efficient nitrogen reduction reduction. This project aims to develop nanoscale heating technique using AC magnetic field for efficient synthesis of ammonia, widely used for fertiliser and having potential for hydrogen storage. This project is to introduce nanoscale heating concept by heating catalyst only but not solution in electrochemical catalysis to achieve high catalytic activity. Expected outcome is the creation of low cost catalysts having high selectivity and formation rate for ammonia production. This unique technology has the potential to replace current ammonia production based on Haber-Bosch process, which consumes 2% of world energy and contributes 3% of overall CO2 emission. The project provides opportunities for new industries that will benefit Australian economy.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