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Socio-Economic Objective : Air Safety
Field of Research : Mechanical Engineering
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Mechanical Engineering (5)
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  • Funded Activity

    Discovery Projects - Grant ID: DP180102658

    Funder
    Australian Research Council
    Funding Amount
    $428,161.00
    Summary
    Nonlinear frequency mixing methods for materials and damage evaluation. This project aims to investigate new approaches for frequency mixing in nonlinear ultrasonics, and to demonstrate their potential for the non-destructive evaluation of material degradation and early damage detection. The anticipated outcomes will be increased detection sensitivity relative to current inspection techniques and an enhanced capability for quantifying the damage. This will provide the basis for more cost efficie .... Nonlinear frequency mixing methods for materials and damage evaluation. This project aims to investigate new approaches for frequency mixing in nonlinear ultrasonics, and to demonstrate their potential for the non-destructive evaluation of material degradation and early damage detection. The anticipated outcomes will be increased detection sensitivity relative to current inspection techniques and an enhanced capability for quantifying the damage. This will provide the basis for more cost efficient safety management of high-value assets and infrastructure, and for enhancing Australia’s competitiveness in advanced manufacturing.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP180101161

    Funder
    Australian Research Council
    Funding Amount
    $194,546.00
    Summary
    Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating condition .... Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating conditions. A bearing degradation model will estimate the remaining useful life. Since rolling element bearings are among the most critical components in most machines, the results of this research will also provide massive benefits in other sectors such as mining, transportation, energy production and manufacturing.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100041

    Funder
    Australian Research Council
    Funding Amount
    $680,320.00
    Summary
    National laser-based non-destructive evaluation system. This project aims to establish the first Australian national facility for non-destructive evaluation, consisting of a three-dimensional scanning laser vibrometer, laser shearography, and an optical de-rotator, to enable full-field characterisation of the deformation and damage state of materials and structures. This solution is expected to perform rapid, broad-area scans, characterise dynamic response and wave propagation in human-engineere .... National laser-based non-destructive evaluation system. This project aims to establish the first Australian national facility for non-destructive evaluation, consisting of a three-dimensional scanning laser vibrometer, laser shearography, and an optical de-rotator, to enable full-field characterisation of the deformation and damage state of materials and structures. This solution is expected to perform rapid, broad-area scans, characterise dynamic response and wave propagation in human-engineered or natural structures, and diagnose rotating systems. This will enhance experimental capabilities, with uses spanning many industry sectors including aerospace, naval, automotive and medical.
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    Funded Activity

    Discovery Projects - Grant ID: DP120103430

    Funder
    Australian Research Council
    Funding Amount
    $285,000.00
    Summary
    Towards autonomous structural safety prognostics: integrating in-situ imaging and predictive modelling. This project aims to advance a scientific basis for autonomous safety prognostics by developing predictive models and in-situ damage imaging principles. Development of this new health prognostic approach will overcome the significant challenge of safety assurance of composite structures in the presence of in-service damage, which is largely hidden.
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    Funded Activity

    Discovery Projects - Grant ID: DP130101458

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Novel quantitative sizing of inaccessible and hard-to-inspect defects to address the challenges posed by innovations in airframe design. Modern unitised aircraft structures cannot be reliably inspected using traditional techniques. This project will develop new techniques to quantify defects required for this innovation in aircraft component design. This research will improve the through-life support of future metallic and composite aircraft structures and improve air safety.
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    Showing 1-5 of 5 Funded Activites

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