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Field of Research : Mechanical Engineering
Field of Research : Signal Processing
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Mechanical Engineering (9)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0349117

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Development of an active noise control system for sleeper seats on large commercial aircraft. Possible avenues will be investigated to actively reduce aircraft cabin noise experienced by passengers in sleeper seats, using localised active noise control (ANC). Previous work has focused on headsets and upright seat headrests which represent a different problem to the partially enclosed sleeper seats considered here. Efficiency and robustness problems that affect existing ANC systems will be addres .... Development of an active noise control system for sleeper seats on large commercial aircraft. Possible avenues will be investigated to actively reduce aircraft cabin noise experienced by passengers in sleeper seats, using localised active noise control (ANC). Previous work has focused on headsets and upright seat headrests which represent a different problem to the partially enclosed sleeper seats considered here. Efficiency and robustness problems that affect existing ANC systems will be addressed. A prototype system will be produced for a business class sleeper seat in a wide body aircraft. A second outcome is the establishment of a robust integrated system design procedure that can be used to quickly develop ANC systems for future designs.
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    Funded Activity

    Linkage Projects - Grant ID: LP0222482

    Funder
    Australian Research Council
    Funding Amount
    $112,725.00
    Summary
    Active Vibration Control of a Cricket Bat using Piezoelectric-based Smart Materials Technology. Improvement of sporting equipment performance of late has largely ignored the game of cricket. Using the combined disciplines of advanced materials and control technologies, it is anticipated that the traditional cricket bat can be vastly improved while keeping to bat modification guidelines as specified in the rules of the game. This project involves the dynamic study of the bat using established e .... Active Vibration Control of a Cricket Bat using Piezoelectric-based Smart Materials Technology. Improvement of sporting equipment performance of late has largely ignored the game of cricket. Using the combined disciplines of advanced materials and control technologies, it is anticipated that the traditional cricket bat can be vastly improved while keeping to bat modification guidelines as specified in the rules of the game. This project involves the dynamic study of the bat using established experimental techniques. Once the various regions of high strain rates are determined, smart materials technologies will be used to reduce the transient vibrations transmitted to the batsman. The effect of this monitoring and control is to increase the comfort level and hence, effectiveness of the batsman.
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    Funded Activity

    Discovery Projects - Grant ID: DP0211809

    Funder
    Australian Research Council
    Funding Amount
    $142,000.00
    Summary
    Automated Diagnosis of Faults in Rotating Machinery using Adaptive Network Based Fuzzy Inference. The long-term integrity of engineering assets depends on the quality of their maintenance which runs into billions of dollars per year in Australia. This project aims to develop a new fundamental automated technique for the detection and diagnosis of machinery faults. The innovation lies in the ability of this technique to not depend on knowledge of fault components in the discrete wavelet packet .... Automated Diagnosis of Faults in Rotating Machinery using Adaptive Network Based Fuzzy Inference. The long-term integrity of engineering assets depends on the quality of their maintenance which runs into billions of dollars per year in Australia. This project aims to develop a new fundamental automated technique for the detection and diagnosis of machinery faults. The innovation lies in the ability of this technique to not depend on knowledge of fault components in the discrete wavelet packet analysis. All other work conducted to date depends on knowledge of these components and their location. The results of this work will vastly improve the costly manually based diagnostics procedures in the maintenance of plant and industrial assets.
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    Funded Activity

    Linkage - International - Grant ID: LX0242082

    Funder
    Australian Research Council
    Funding Amount
    $42,000.00
    Summary
    Development of the applications of signal processing to mechanical problems and machine diagnostics. It is intended to extend research collaboration in the following areas of interest to both UTC and UNSW: (1) Dynamics of gears for diagnostics and noise control (2) Application of blind source separation techniques to mechanical problems (3) Application of cyclostationary signal analysis techniques to machine diagnostics (4) Determination of structural dynamic properties from response measure .... Development of the applications of signal processing to mechanical problems and machine diagnostics. It is intended to extend research collaboration in the following areas of interest to both UTC and UNSW: (1) Dynamics of gears for diagnostics and noise control (2) Application of blind source separation techniques to mechanical problems (3) Application of cyclostationary signal analysis techniques to machine diagnostics (4) Determination of structural dynamic properties from response measurements (5) Diagnostics of diesel engines and other reciprocating machines. This project will result in the publication of joint papers in each of these topics, and give material to form the basis of an application for at least one FAIR project in the area of gear noise control and diagnostics.
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    Funded Activity

    Discovery Projects - Grant ID: DP0774086

    Funder
    Australian Research Council
    Funding Amount
    $246,090.00
    Summary
    Advancing System Identification using Modern Optimisation Methods. This project lies within an ARC Research Priority Area. Namely, "Frontier Technologies". It involves the development of new technologies and fundamental theory that take data records from physical or abstract systems and generate mathematical models for use in prediction, control and diagnosis of the underlying system. In light of this, the project also lies within the ARC Research Priority Area of "Smart Information Use",
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    Funded Activity

    Discovery Projects - Grant ID: DP210101561

    Funder
    Australian Research Council
    Funding Amount
    $395,949.00
    Summary
    Sound Control Panels Made of Digital Acoustics Elements. This project aims to pioneer a new generation of smart sound control panels made of digital acoustics elements for broadband sound control. The project expects to generate a break-through mechanistic understanding of energy dissipation among the acoustical, mechanical and electrical components in the proposed devices. It is expected that these devices will have superior sound absorption performance from 50 Hz to 10 kHz, and will be low cos .... Sound Control Panels Made of Digital Acoustics Elements. This project aims to pioneer a new generation of smart sound control panels made of digital acoustics elements for broadband sound control. The project expects to generate a break-through mechanistic understanding of energy dissipation among the acoustical, mechanical and electrical components in the proposed devices. It is expected that these devices will have superior sound absorption performance from 50 Hz to 10 kHz, and will be low cost, compact (<10 mm thick), environmentally sustainable, clean (fibreless), and be adaptive to environments. It will provide a solution for broadband sound control, which is critical for many domestic, industry, and military applications to create a quieter and more comfortable sound environment.
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    Funded Activity

    Discovery Projects - Grant ID: DP0666955

    Funder
    Australian Research Council
    Funding Amount
    $336,000.00
    Summary
    New Approaches for the Estimation of Complex Dynamic System Models. This project lies within an ARC defined Research Priority Area. Namely, "Frontier Technologies". It is directed towards taking available data records from physical and other processes, ranging from petrochemical plant outputs to share market values, and using them to determine equations that allow for the prediction, diagnosis, and control of the underlying determining systems. As such, it lies within the ARC identified .... New Approaches for the Estimation of Complex Dynamic System Models. This project lies within an ARC defined Research Priority Area. Namely, "Frontier Technologies". It is directed towards taking available data records from physical and other processes, ranging from petrochemical plant outputs to share market values, and using them to determine equations that allow for the prediction, diagnosis, and control of the underlying determining systems. As such, it lies within the ARC identified area of "Smart Information Use", but has further potential to foster new approaches and new technologies, by way of the improved system modelling, prediction and diagnosis capabilities it will provide.
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    Funded Activity

    Discovery Projects - Grant ID: DP0208665

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    New Methods for Dynamic System Estimation. The estimation of dynamic system models from records of normal operating data is a significant problem across many engineering applications ranging from (at least) chemical process control to the implementation of telecommunications networks. This project, based on a promising pilot study, will develop and analyse new methods for solving these problems. This will lead to significant advances in the simplicity, robustness and generality of methods for a .... New Methods for Dynamic System Estimation. The estimation of dynamic system models from records of normal operating data is a significant problem across many engineering applications ranging from (at least) chemical process control to the implementation of telecommunications networks. This project, based on a promising pilot study, will develop and analyse new methods for solving these problems. This will lead to significant advances in the simplicity, robustness and generality of methods for accurate model generation with attendant benefits of more efficient and higher performance operation of many engineering systems.
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    Funded Activity

    Linkage Projects - Grant ID: LP160100616

    Funder
    Australian Research Council
    Funding Amount
    $315,000.00
    Summary
    Gas metal arc welding process monitoring with acoustic sensing. This project aims to investigate the physical mechanisms of Gas Metal Arc Welding (GMAW) sound generation, and establish an acoustic model that correlates the acoustic signal with other wielding parameters. Key acoustic features and identification algorithms for process monitoring will be explored, and a prototype GMAW process monitoring system developed. GMAW is an arc welding process that is widely used in industry and well suited .... Gas metal arc welding process monitoring with acoustic sensing. This project aims to investigate the physical mechanisms of Gas Metal Arc Welding (GMAW) sound generation, and establish an acoustic model that correlates the acoustic signal with other wielding parameters. Key acoustic features and identification algorithms for process monitoring will be explored, and a prototype GMAW process monitoring system developed. GMAW is an arc welding process that is widely used in industry and well suited to automatic welding. The proposed monitoring method is an urgent need identified by industries for improving process control and quality. Auditory cues have been found to be critical for expert welders to adjust the weld process and to maintain quality, but the mechanisms underpinning the process are not well understood. The project will provide significant benefit to the Australian manufacturing industry’s productivity and innovation.
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