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    Extending “Assessment of Tesla Turbine Performance” Model for Sensitivity-Focused Experimental Design

    Source: Journal of Energy Resources Technology:;2018:;volume 140:;issue 003::page 32005
    Author:
    Traum, Matthew J.
    ,
    Hadi, Fatemeh
    ,
    Akbar, Muhammad K.
    DOI: 10.1115/1.4037967
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The analytical model of Carey is extended and clarified for modeling Tesla turbine performance. The extended model retains differentiability, making it useful for rapid evaluation of engineering design decisions. Several clarifications are provided including a quantitative limitation on the model’s Reynolds number range; a derivation for output shaft torque and power that shows a match to the axial Euler Turbine Equation; eliminating the possibility of tangential disk velocity exceeding inlet working fluid velocity; and introducing a geometric nozzle height parameter. While nozzle geometry is limited to a slot providing identical flow velocity to each channel, variable nozzle height enables this velocity to be controlled by the turbine designer as the flow need not be choked. To illustrate the utility of this improvement, a numerical study of turbine performance with respect to variable nozzle height is provided. Since the extended model is differentiable, power sensitivity to design parameters can be quickly evaluated—a feature important when the main design goal is maximizing measurement sensitivity. The derivatives indicate two important results. First, the derivative of power with respect to Reynolds number for a turbine in the practical design range remains nearly constant over the whole laminar operating range. So, for a given working fluid mass flow rate, Tesla turbine power output is equally sensitive to variation in working fluid physical properties. Second, turbine power sensitivity increases as wetted disk area decreases; there is a design trade-off here between maximizing power output and maximizing power sensitivity.
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      Extending “Assessment of Tesla Turbine Performance” Model for Sensitivity-Focused Experimental Design

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    contributor authorTraum, Matthew J.
    contributor authorHadi, Fatemeh
    contributor authorAkbar, Muhammad K.
    date accessioned2019-02-28T10:56:18Z
    date available2019-02-28T10:56:18Z
    date copyright10/17/2017 12:00:00 AM
    date issued2018
    identifier issn0195-0738
    identifier otherjert_140_03_032005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4250982
    description abstractThe analytical model of Carey is extended and clarified for modeling Tesla turbine performance. The extended model retains differentiability, making it useful for rapid evaluation of engineering design decisions. Several clarifications are provided including a quantitative limitation on the model’s Reynolds number range; a derivation for output shaft torque and power that shows a match to the axial Euler Turbine Equation; eliminating the possibility of tangential disk velocity exceeding inlet working fluid velocity; and introducing a geometric nozzle height parameter. While nozzle geometry is limited to a slot providing identical flow velocity to each channel, variable nozzle height enables this velocity to be controlled by the turbine designer as the flow need not be choked. To illustrate the utility of this improvement, a numerical study of turbine performance with respect to variable nozzle height is provided. Since the extended model is differentiable, power sensitivity to design parameters can be quickly evaluated—a feature important when the main design goal is maximizing measurement sensitivity. The derivatives indicate two important results. First, the derivative of power with respect to Reynolds number for a turbine in the practical design range remains nearly constant over the whole laminar operating range. So, for a given working fluid mass flow rate, Tesla turbine power output is equally sensitive to variation in working fluid physical properties. Second, turbine power sensitivity increases as wetted disk area decreases; there is a design trade-off here between maximizing power output and maximizing power sensitivity.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleExtending “Assessment of Tesla Turbine Performance” Model for Sensitivity-Focused Experimental Design
    typeJournal Paper
    journal volume140
    journal issue3
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4037967
    journal fristpage32005
    journal lastpage032005-7
    treeJournal of Energy Resources Technology:;2018:;volume 140:;issue 003
    contenttypeFulltext
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