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  • Funded Activity

    Discovery Projects - Grant ID: DP130102617

    Funder
    Australian Research Council
    Funding Amount
    $550,000.00
    Summary
    The science of scramjet propulsion. This project will study the science of scramjet operation at high Mach numbers and develop the understanding required for operation at such conditions. The outcomes include experimentally validated scramjet models operating at speeds never reached before, and the potential to extend the known flight envelope for air breathing propulsion.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE120102277

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    Design optimisation and physical behaviour of fuel injection and mixing for innovative scramjet concepts. Scramjets are a potential game changer for satellite launch and high speed flight. The phenomena that will make or break them are complex, and achieving optimal designs is hugely challenging. This project combines advanced optimisation techniques and flow simulations to find, and understand, optimal fuel injection for innovative scramjet designs.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE140100932

    Funder
    Australian Research Council
    Funding Amount
    $395,220.00
    Summary
    Hypervelocity Roughness-Induced Laminar-Turbulent Transition for Advanced Scramjet Flow Control. Scramjet technology is set to make air-breathing flight beyond five times the speed of sound a reality. At such speeds, complex aerodynamic phenomena are likely to cause flow separation in the scramjet, hence significantly affecting its operability. This project will establish the applicability of discrete surface micro-roughness elements to induce the laminar-turbulent transition of hypervelocity bo .... Hypervelocity Roughness-Induced Laminar-Turbulent Transition for Advanced Scramjet Flow Control. Scramjet technology is set to make air-breathing flight beyond five times the speed of sound a reality. At such speeds, complex aerodynamic phenomena are likely to cause flow separation in the scramjet, hence significantly affecting its operability. This project will establish the applicability of discrete surface micro-roughness elements to induce the laminar-turbulent transition of hypervelocity boundary layers, with the purpose of energising the surface flow entering the engine so that it can sustain higher adverse pressure gradients without separating. This project will undertake a targeted ground test program to characterise the physical mechanisms of hypervelocity roughness-induced laminar-turbulent transition.
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    Funded Activity

    Discovery Projects - Grant ID: DP120101009

    Funder
    Australian Research Council
    Funding Amount
    $320,000.00
    Summary
    Flow physics of porous wall fuel injection for scramjet combustion and drag reduction. This project combines world-class Australian scramjet science with German advanced high temperature materials, exploring potentially transformational technology for satellite launch. Australia’s credentials in the international space arena will strengthen, contributing to assured access to the space-based applications upon which we heavily depend.
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    Funded Activity

    Discovery Projects - Grant ID: DP180100220

    Funder
    Australian Research Council
    Funding Amount
    $306,832.00
    Summary
    Understanding evolution in natural systems using robotic models. This project aims to build biologically-inspired robotic and computational systems, and then modify these in ways which are either not possible, or have not yet occurred in natural systems. A comparison of these two systems will then allow a quantitative understanding of how well optimised biological structures are and where the limitations to optimisation lie. Expected outcomes include advancing the understanding of evolutionary p .... Understanding evolution in natural systems using robotic models. This project aims to build biologically-inspired robotic and computational systems, and then modify these in ways which are either not possible, or have not yet occurred in natural systems. A comparison of these two systems will then allow a quantitative understanding of how well optimised biological structures are and where the limitations to optimisation lie. Expected outcomes include advancing the understanding of evolutionary processes, and will provide significant benefits, such as aiding the manufacture of efficient autonomous robots.
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