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Scheme : Linkage Projects
Field of Research : Mechanical engineering
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  • Researchers (28)
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  • Active Funded Activity

    Linkage Projects - Grant ID: LP220100131

    Funder
    Australian Research Council
    Funding Amount
    $362,000.00
    Summary
    Transforming pastefill delivery system for next-generation mining industry. This project aims to develop a new type of mining pipeline design platform that can vastly improve pastefill (slurry) delivery systems. Using an Artificial Intelligence-based design platform, understanding complex and numerous variables in the fluid dynamics of abrasive pastefill flow will inform a new pipeline design. Consisting of a vertical casing, with our new composite pipeline chokes to replace costly friction loop .... Transforming pastefill delivery system for next-generation mining industry. This project aims to develop a new type of mining pipeline design platform that can vastly improve pastefill (slurry) delivery systems. Using an Artificial Intelligence-based design platform, understanding complex and numerous variables in the fluid dynamics of abrasive pastefill flow will inform a new pipeline design. Consisting of a vertical casing, with our new composite pipeline chokes to replace costly friction loops, improvements in flow efficiency and pipeline deterioration can significantly reduce maintenance costs. This novel and adaptable next-generation pipeline design and analysis platform can be employed by the manufacturing and mining sectors for pipeline failure analysis, managing production and developing new products.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP220200934

    Funder
    Australian Research Council
    Funding Amount
    $406,838.00
    Summary
    Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely .... Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely diagnostics and prognostics and innovative proactive control measures that mitigate their impact on autonomous driving quality and safety. The expected benefits for the automotive industry and end-users include increased safety and reliability of steering systems, and higher confidence in autonomous driving.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP220100389

    Funder
    Australian Research Council
    Funding Amount
    $348,406.00
    Summary
    An intelligent condition-monitoring system for mineral screening machines. This project aims to develop an intelligent condition-monitoring system for screening machines which are widely used for classifying mineral particles in the mining industry. This project will develop new vibration-based methodologies and techniques for fault diagnostics and remaining useful life prediction of bearings and gears in situations with multiple complex sources and interferences. The monitoring system, as the e .... An intelligent condition-monitoring system for mineral screening machines. This project aims to develop an intelligent condition-monitoring system for screening machines which are widely used for classifying mineral particles in the mining industry. This project will develop new vibration-based methodologies and techniques for fault diagnostics and remaining useful life prediction of bearings and gears in situations with multiple complex sources and interferences. The monitoring system, as the expected outcomes of this project, will modernise the current maintenance practices towards condition-based predictive maintenance, reducing unplanned downtime, increasing productivity and reducing maintenance costs for the Australian mining industry. It will also add more value to the Australian manufactured products.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP220200938

    Funder
    Australian Research Council
    Funding Amount
    $507,466.00
    Summary
    A miniaturised laser manipulator for ultra-precise and pain-free dentistry. This project aims to develop a miniaturized high-precision laser robotic device that can fit comfortably in the mouth to perform pain-free, vibration-free dental operations by utilising silicon-carbide on silicon technology to create a millimetre-sized two-axis controllable, highly-reflective mirror robust to high-power ultra-short laser pulses. This project expects to generate new knowledge in micro-mirror control using .... A miniaturised laser manipulator for ultra-precise and pain-free dentistry. This project aims to develop a miniaturized high-precision laser robotic device that can fit comfortably in the mouth to perform pain-free, vibration-free dental operations by utilising silicon-carbide on silicon technology to create a millimetre-sized two-axis controllable, highly-reflective mirror robust to high-power ultra-short laser pulses. This project expects to generate new knowledge in micro-mirror control using optically excited piezo-resistive sensors, and cold femtosecond laser ablation of hard dental tissue. Expected outcomes include a working prototype for laser removal of tooth materials at speeds exceeding dental drills, providing benefits in miniaturized laser devices and ultimately removing pain from dental procedures.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP220200824

    Funder
    Australian Research Council
    Funding Amount
    $429,996.00
    Summary
    Advanced geotechnical sensing and early warning system for smart highway. This project aims to develop an advanced sensing system with interactive analytical road health monitoring for smart highways. The project expects to provide potential savings of millions of dollars and improved road quality through targeted, optimised, value-for-money highway maintenance, identified by deployment of cost-effective, energy-efficient miniaturised electromechanical sensors. The expected outcome of this proje .... Advanced geotechnical sensing and early warning system for smart highway. This project aims to develop an advanced sensing system with interactive analytical road health monitoring for smart highways. The project expects to provide potential savings of millions of dollars and improved road quality through targeted, optimised, value-for-money highway maintenance, identified by deployment of cost-effective, energy-efficient miniaturised electromechanical sensors. The expected outcome of this project is the development of a fit-for-purpose and evidence-based early warning system for smart highway construction and maintenance. This should provide significant benefit through foreseeing potential geotechnical risks before they happen and enabling early intervention to enhance road safety and mitigate economic losses.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP230100456

    Funder
    Australian Research Council
    Funding Amount
    $371,499.00
    Summary
    Dynamic model assisted fault diagnostics of wind turbine gearbox. This project aims to develop novel condition monitoring methodologies for the gearbox of large horizontal-axis wind turbines which are widely installed in wind farms for generating renewable energy. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital twin-based approaches. Expected outcomes of this project include new vibration-based methods for fault diagnostic .... Dynamic model assisted fault diagnostics of wind turbine gearbox. This project aims to develop novel condition monitoring methodologies for the gearbox of large horizontal-axis wind turbines which are widely installed in wind farms for generating renewable energy. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital twin-based approaches. Expected outcomes of this project include new vibration-based methods for fault diagnostics and predictions of the remaining useful life of turbine gearboxes. This should provide significant benefits to the Australian Wind Industry by ensuring reliable operation of wind turbines, reducing turbine downtime and reducing operation and maintenance costs; ultimately lowering the cost of energy from wind.
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    Showing 1-6 of 6 Funded Activites

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