Industrial Transformation Training Centres - Grant ID: IC160100040
Funder
Australian Research Council
Funding Amount
$3,815,143.00
Summary
ARC Training Centre for Automated Manufacture of Advanced Composites. ARC Training Centre for Automated Manufacture of Advanced Composites. This centre aims to develop innovative researchers who can transform Australia’s high-performance carbon composites manufacturing industry. This aim will be achieved through the adoption and creative use of advanced automation technology, which brings benefits of speed, flexibility and accuracy. Industry-based research experience will be enhanced through exp ....ARC Training Centre for Automated Manufacture of Advanced Composites. ARC Training Centre for Automated Manufacture of Advanced Composites. This centre aims to develop innovative researchers who can transform Australia’s high-performance carbon composites manufacturing industry. This aim will be achieved through the adoption and creative use of advanced automation technology, which brings benefits of speed, flexibility and accuracy. Industry-based research experience will be enhanced through exposure to international partners at the cutting edge of advanced composites manufacturing research and development in developed economies. The intended outcome is a generation of innovators who can use the benefits of automation to position Australian manufacturers as world-class agile producers of high-value advanced composite structures using high-rate, error-free processes.Read moreRead less
Dimensional Control of Stamped Components for Optimized Assembly Operations. Dimensional control is one of the most important challenges in automotive body assembly. The aim of this project is to develop a method of characterizing dimensional variation in a stamped sheet formed parts such that the effect of this variation on assemblies can be analysed. This will lead to an approach to flexible fixturing to minimizing assembly dimensional variation and improve dimensional quality.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100168
Funder
Australian Research Council
Funding Amount
$550,000.00
Summary
Integrated Functional Printing Facility for Advanced Material Technologies. The project aims to develop Australia’s first fully integrated small-scale and agile prototyping facility for printing. This facility will provide critical infrastructure to deposit a wide range of advanced materials with unprecedented precision & process flexibility allowing realistic form, configuration and device-ready formats with minimal usage of functional ink. Using this unique facility, researchers will be able t ....Integrated Functional Printing Facility for Advanced Material Technologies. The project aims to develop Australia’s first fully integrated small-scale and agile prototyping facility for printing. This facility will provide critical infrastructure to deposit a wide range of advanced materials with unprecedented precision & process flexibility allowing realistic form, configuration and device-ready formats with minimal usage of functional ink. Using this unique facility, researchers will be able to assess integration of novel functional materials in a wide range of devices and applications, including critical components of affordable healthcare diagnostic devices, advanced security features in banknotes, integrated RFID tracking systems, high performance solar cells and separation membranes. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100057
Funder
Australian Research Council
Funding Amount
$650,000.00
Summary
Australian Stress Engineering Facility. This project aims to radically enhance the Australian capability for residual stress measurements and damage analysis. This project is expected to revolutionise stress engineering research in Australia by providing access to a state-of-the-art measurement capability that will enable on-site measurements at manufacturing plants and in laboratories. Expected outcomes of this project include the development and optimisation of advanced manufacturing and maint ....Australian Stress Engineering Facility. This project aims to radically enhance the Australian capability for residual stress measurements and damage analysis. This project is expected to revolutionise stress engineering research in Australia by providing access to a state-of-the-art measurement capability that will enable on-site measurements at manufacturing plants and in laboratories. Expected outcomes of this project include the development and optimisation of advanced manufacturing and maintenance technologies for civil engineering structures. This should provide significant benefits in safety, reliability and economic impact to Australian researchers in academia and industry across manufacturing, civil, transport, defence and medical sectors.Read moreRead less
Finite element and optimization methods for creating complex structure in additive manufacturing. Additive manufacture based on five-axis focused ion beam is a novel manufacturing technology, which has some outstanding properties such as low pollution, no machining, net shape, high efficiency, and high precision characteristics. It produces much less waste as it adds materials, rather than subtracting. This project focuses on developing powerful finite element and topology optimisation method fo ....Finite element and optimization methods for creating complex structure in additive manufacturing. Additive manufacture based on five-axis focused ion beam is a novel manufacturing technology, which has some outstanding properties such as low pollution, no machining, net shape, high efficiency, and high precision characteristics. It produces much less waste as it adds materials, rather than subtracting. This project focuses on developing powerful finite element and topology optimisation method for analysis and design of complex structures in five-axis focused ion beam (or direct laser rapid sintering) based additive manufacturing. The success of this project may benefit Australian manufacturing industry for promoting and developing this emerging and disruptive technology.Read moreRead less
Development of inert gas ion beams for fabrication of nano-structures. This project will develop a high brightness, high density ion beam for reactive fabrication of structures with dimensions of the order of and less than 100 nano-metres. Present systems use liquid metal ion sources which can pollute the substrates being fabricated. Use of inert gas ions will overcome this problem and lead to a new type of ion source to replace the older systems. Added advantages include significantly increased ....Development of inert gas ion beams for fabrication of nano-structures. This project will develop a high brightness, high density ion beam for reactive fabrication of structures with dimensions of the order of and less than 100 nano-metres. Present systems use liquid metal ion sources which can pollute the substrates being fabricated. Use of inert gas ions will overcome this problem and lead to a new type of ion source to replace the older systems. Added advantages include significantly increased lifetime much higher reproducibility. Our commercial collaborator, FEI Company, estimate the world market as being $US100,000,000 and will actively promote this technology worldwide when it is fully developed.Read moreRead less
Design surface feature recognition for near net shaped manufactured components. The aim of this project is to investigate methods and techniques that, given an ab initio design requirement, allow databases of knowledge from previous designs to be intelligently searched for similar patterns, both geometric and physical state, that will assess the likelihood of a successful design and suggest potential alternatives based on previous experience
The plan is to approach the research problem from a m ....Design surface feature recognition for near net shaped manufactured components. The aim of this project is to investigate methods and techniques that, given an ab initio design requirement, allow databases of knowledge from previous designs to be intelligently searched for similar patterns, both geometric and physical state, that will assess the likelihood of a successful design and suggest potential alternatives based on previous experience
The plan is to approach the research problem from a machine learning/pattern recognition point of view. By mapping the characterized properties into a search space of reduced dimensionality in which feature patterns have been pre-classified through supervised training, it should be possible to identify similar features.
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