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    Student Research Projects With Industrial Impact 

    Source: Journal of Engineering for Gas Turbines and Power:;2022:;volume( 144 ):;issue: 006:;page 61008-1
    Author(s): Grimshaw, S. D.; Clark, C. J.; Taylor, J. V.; Spataro, R.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper describes six final year undergraduate research projects supported by a collaboration between the Whittle Laboratory at the University of Cambridge and Reaction Engines (RE), a UK aerospace company. The collaboration ...
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    Super Aggressive S-Ducts for Air Breathing Rocket Engines 

    Source: Journal of Turbomachinery:;2021:;volume( 143 ):;issue: 006:;page 061015-1
    Author(s): Taylor, J. V.; Flanagan, F.; Dunlop, A.; Grimshaw, S. D.; Miller, R. J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Air breathing rocket engines require turbomachinery and ducting that is substantially lighter than that used in ground-based or aerospace gas turbines. In order to reduce the weight of the axial compressor, the design of ...
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    Design and Analysis of a Liftfan for eVTOL Aircraft 

    Source: Journal of Turbomachinery:;2025:;volume( 147 ):;issue: 009:;page 91016-1
    Author(s): Hine, R. D.; Cousins, D. R.; Maden, L.; Walker, S. J.; Atkins, N. R.; Grimshaw, S. D.; Taylor, J. V.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Ducted liftfans provide greater hovering efficiency to electric vertical take-off and landing aircraft than open propellers of equal disk area. Liftfans are designed with minimized length to limit propulsor weight added ...
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    Predicting the Operability of Damaged Compressors Using Machine Learning 

    Source: Journal of Turbomachinery:;2020:;volume( 142 ):;issue: 005
    Author(s): Taylor, J. V.; Conduit, B.; Dickens, A.; Hall, C.; Hillel, M.; Miller, R. J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The application of machine learning to aerospace problems faces a particular challenge. For successful learning, a large amount of good quality training data is required, typically tens of thousands of cases. However, due ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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