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Field of Research : Chemical Engineering
Research Topic : PRIMARY INFECTION
Australian State/Territory : NSW
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  • Funded Activity

    Discovery Projects - Grant ID: DP0345535

    Funder
    Australian Research Council
    Funding Amount
    $50,000.00
    Summary
    Synthesis of oligomers in dense carbon dioxide. The aim of the project is to develop a novel technique for the synthesis of low molecular weight polymers (oligomers) using dense carbon dioxide as a polymerisation solvent. The use of elevated pressure is the major impediment to the commercialisation of such technology. The technique proposed in this project will enable oligomers to be produced at greatly reduced operating pressures and may lead to a more general procedure for conducting other t .... Synthesis of oligomers in dense carbon dioxide. The aim of the project is to develop a novel technique for the synthesis of low molecular weight polymers (oligomers) using dense carbon dioxide as a polymerisation solvent. The use of elevated pressure is the major impediment to the commercialisation of such technology. The technique proposed in this project will enable oligomers to be produced at greatly reduced operating pressures and may lead to a more general procedure for conducting other types of polymer synthesis in dense carbon dioxide.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200103287

    Funder
    Australian Research Council
    Funding Amount
    $528,000.00
    Summary
    Catalytic conversion of Australia's natural gas to value added products. While natural gas (of which methane is the primary component) is an abundant source of energy, it is normally found in remote areas and for its successful exploitation it needs to be processed. The processing usually requires significant energy and resources input. In this project we will develop a fundamental understanding to a single step catalytic process that can utilise natural gas and nitrous oxide (both potent greenh .... Catalytic conversion of Australia's natural gas to value added products. While natural gas (of which methane is the primary component) is an abundant source of energy, it is normally found in remote areas and for its successful exploitation it needs to be processed. The processing usually requires significant energy and resources input. In this project we will develop a fundamental understanding to a single step catalytic process that can utilise natural gas and nitrous oxide (both potent greenhouse gases) and oxygen to produce selectively methanol and hydrocarbons from a natural gas feedstream in a controlled manner. A single step process for natural gas conversion utilising waste green-house gases is expected to be of great benefit to the Australian economy, environment and energy security
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    Funded Activity

    Discovery Projects - Grant ID: DP0208805

    Funder
    Australian Research Council
    Funding Amount
    $490,000.00
    Summary
    An Integrated Framework for Optimisation and Control of Key Product Properties in Emulsion Polymerisation. Emulsion polymerization is of major industrial importance. In addition to process efficiency, the use of water as the reactor medium provides environmental benefits. This proposal is aimed at building an integrated framework to analyse, model, control and optimise emulsion polymerisation systems in order to understand, design and operate such complex systems to obtain desired polymer produc .... An Integrated Framework for Optimisation and Control of Key Product Properties in Emulsion Polymerisation. Emulsion polymerization is of major industrial importance. In addition to process efficiency, the use of water as the reactor medium provides environmental benefits. This proposal is aimed at building an integrated framework to analyse, model, control and optimise emulsion polymerisation systems in order to understand, design and operate such complex systems to obtain desired polymer product characteristics. Complex kinetic, transport and evolution equations will be analysed and solved for predicting and controlling key product properties. This project will provide not only a significant advance in fundamental knowledge of polymerisation systems but will also enable production of cost-effective ?designer polymers? for a wide-range of applications.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100211

    Funder
    Australian Research Council
    Funding Amount
    $230,000.00
    Summary
    3D Gamma Ray Tomography for Multiphase Flow Characterisation. We will establish a new tomographic facility which will allow a greater insight on the flows in industrial multiphase equipment which have opaque containers. The facility will provide a platform for Australian researchers to conduct fundamental research on complex flows, particularly those encountered in our mineral processing industry.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220100355

    Funder
    Australian Research Council
    Funding Amount
    $405,000.00
    Summary
    Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achiev .... Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achieve desired dynamic features. This project aims to develop such a data-based approach by controlling latent variable dynamics, using the behavioural systems framework integrated with big data analytics and artificial neural networks. The outcomes are expected to help build a cornerstone for future smart manufacturing.
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