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
Distributionally robust dynamic optimisation for nonlinear switched system. Biochemical production utilising fermentation processes evidences poor product repeatability. This project aims to control and optimise 1,3-propanediol production via microbial fermentation. 1,3-propanediol is an essential ingredient for many polymeric materials and is present in cosmetics, personal care and cleaning products. New theory and parallel algorithms will be developed for the control and optimisation of the mi ....Distributionally robust dynamic optimisation for nonlinear switched system. Biochemical production utilising fermentation processes evidences poor product repeatability. This project aims to control and optimise 1,3-propanediol production via microbial fermentation. 1,3-propanediol is an essential ingredient for many polymeric materials and is present in cosmetics, personal care and cleaning products. New theory and parallel algorithms will be developed for the control and optimisation of the microbial fermentation of 1,3-propanediol production, where the bacteria kinetic parameters are uncertain without full knowledge of the probability distribution. This theory will also be applicable to other fermentation processes. The project outcomes are expected to significantly improve the productivity of the biochemical engineering industry involving fermentation processes.Read moreRead less
Next generation gas separations via innovative adsorption technologies. This project aims to develop new gas separation technologies that combine novel materials and pressure swing adsorption cycles to deliver inexpensive industrial processes capable of both high recovery and high purity products. The project will advance our ability to manipulate the phenomenon of regulated guest admission into microporous materials, and integrate such materials within new types of dual-reflux adsorption cycles ....Next generation gas separations via innovative adsorption technologies. This project aims to develop new gas separation technologies that combine novel materials and pressure swing adsorption cycles to deliver inexpensive industrial processes capable of both high recovery and high purity products. The project will advance our ability to manipulate the phenomenon of regulated guest admission into microporous materials, and integrate such materials within new types of dual-reflux adsorption cycles that deliver multiple refined gas products. Successful implementation of these industrial developments will increase Australia's access to cheap supplies of natural gas, encourage the broader use of biomass, lower the carbon emissions of industrial processes, and efficiently recover high-value compounds only present at trace concentrations.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100208
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
An advanced computational facility based on a graphic processing unit for particulate research. The graphic processing unit (GPU) is becoming an engine for the next generation of supercomputers for scientific research. The technology at this new facility will be exploited to perform large-scale, real time simulations of complex particulate material processing which is critical to Australia’s mineral/metallurgical/material industries.