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Research Topic : dynamic process modelling
Australian State/Territory : WA
Field of Research : Mechanical Engineering
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  • Funded Activity

    Discovery Projects - Grant ID: DP180100915

    Funder
    Australian Research Council
    Funding Amount
    $352,616.00
    Summary
    Interaction between consolidation and lubrication of biological joints. This project aims to develop a computational model to be used in conjunction with experimental studies to understand complex lubrication systems in biological joints. Nature has equipped biological joints with a remarkable ability to achieve ultralow friction even at relatively high contact force, however the mechanisms used remain uncertain. This project intends to provide a deeper, fundamental understanding of the friction .... Interaction between consolidation and lubrication of biological joints. This project aims to develop a computational model to be used in conjunction with experimental studies to understand complex lubrication systems in biological joints. Nature has equipped biological joints with a remarkable ability to achieve ultralow friction even at relatively high contact force, however the mechanisms used remain uncertain. This project intends to provide a deeper, fundamental understanding of the friction and contact mechanisms occurring in biological joints. The project outcomes could lead to bioinspired innovation in future engineering design and advancements in materials science that have the potential to significantly benefit Australian society.
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    Funded Activity

    Linkage Projects - Grant ID: LP140100919

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Development of Canonical Mist Filter Models. Over one million tonnes of oil (mist) is wasted every year – and emitted to the atmosphere through inefficient filtration. Over 50 per cent of energy usage in most process industries is for filtration and separation processes, yet mist filters and separators are largely designed by trial and error, resulting in sub-optimal, inefficient designs. Recent advances by the research team have, only now, made it possible to develop accurate models for such sy .... Development of Canonical Mist Filter Models. Over one million tonnes of oil (mist) is wasted every year – and emitted to the atmosphere through inefficient filtration. Over 50 per cent of energy usage in most process industries is for filtration and separation processes, yet mist filters and separators are largely designed by trial and error, resulting in sub-optimal, inefficient designs. Recent advances by the research team have, only now, made it possible to develop accurate models for such systems. This work intends to be the first to develop accurate, broadly applicable models for all processes in mist filters, thereby providing immense process efficiency benefits, together with improved worker and environmental protection, and less wastage of dwindling oil resources.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP170100108

    Funder
    Australian Research Council
    Funding Amount
    $365,608.00
    Summary
    Quantitative structural health assessment of large membrane-like structures. This project aims to develop a new approach, based on remote sensing and computational modelling, to assess and manage the structural health of large floating covers used for odour control and biogas harvesting to prevent unexpected failures. The project has potential benefits for high-value-added manufacturing and maintenance of these floating covers by Australian industry.
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    Showing 1-3 of 3 Funded Activites

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