Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0989123
Funder
Australian Research Council
Funding Amount
$575,000.00
Summary
Spark Plasma Sintering (SPS) Facility for Advanced Materials Processing. The establishment of the first Spark Plasma Sintering (SPS) facility would significantly enhance Australia's capacity in manufacturing of advanced materials, especially the more sophisticated and specialized materials, which is a National Research Priority. This facility will benefit a large number of researchers and projects in Australia's premier research organisations and will also meet the needs of organisations outside ....Spark Plasma Sintering (SPS) Facility for Advanced Materials Processing. The establishment of the first Spark Plasma Sintering (SPS) facility would significantly enhance Australia's capacity in manufacturing of advanced materials, especially the more sophisticated and specialized materials, which is a National Research Priority. This facility will benefit a large number of researchers and projects in Australia's premier research organisations and will also meet the needs of organisations outside the consortium. It will allow Australian researchers to remain at the leading edge of research and enhance collaborations in advanced materials nationwide. The successful outcomes of these activities will underpin the advancement in many areas of research and technology developments in the country.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC160100036
Funder
Australian Research Council
Funding Amount
$4,881,754.00
Summary
ARC Training Centre in Alloy Innovation for Mining Efficiency. ARC Training Centre in Alloy Innovation for Mining Efficiency. This centre aims to make Australian manufacturers dominant in the multi-billion dollar mining equipment sector by training innovators to design the world’s best highly customized long-life, wear resistant components. It intends to rapidly develop customized alloys that excel in severe mining conditions, using three-dimensional printing, novel characterisation and its netw ....ARC Training Centre in Alloy Innovation for Mining Efficiency. ARC Training Centre in Alloy Innovation for Mining Efficiency. This centre aims to make Australian manufacturers dominant in the multi-billion dollar mining equipment sector by training innovators to design the world’s best highly customized long-life, wear resistant components. It intends to rapidly develop customized alloys that excel in severe mining conditions, using three-dimensional printing, novel characterisation and its networked training environment. It expects these innovations will enable much needed efficiencies after the end of the mining super-cycle. Anticipated outcomes are the design of products with superior alloy design and material selection; jobs growth and security in the mining component production sector; and increased mining efficiency and cost reduction.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0453732
Funder
Australian Research Council
Funding Amount
$726,164.00
Summary
Interactive network for plasma and surface analysis. Plasma-based materials synthesis and surface modification methods have great value because they allow a wide range of ion energies and processing conditions to be achieved. Accurate in-situ measurement of the plasma conditions is crucial to the development of reliable new processes. This proposal will establish unique capabilities for carrying out diagnostic studies of plasma surface treatment technologies. The proposal will link Australia's m ....Interactive network for plasma and surface analysis. Plasma-based materials synthesis and surface modification methods have great value because they allow a wide range of ion energies and processing conditions to be achieved. Accurate in-situ measurement of the plasma conditions is crucial to the development of reliable new processes. This proposal will establish unique capabilities for carrying out diagnostic studies of plasma surface treatment technologies. The proposal will link Australia's most advanced plasma processing and diagnostic equipment located at the University of Sydney and the ANU to advanced materials and surface analysis facilities at La Trobe and RMIT Universities in Melbourne, using interactive e-science links and vacuum sample-transfer facilities.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