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    Experimental Characterization of Losses in Bladeless Turbine Prototype

    Source: Journal of Engineering for Gas Turbines and Power:;2022:;volume( 144 ):;issue: 004::page 41009-1
    Author:
    Renuke, Avinash
    ,
    Reggio, Federico
    ,
    Traverso, Alberto
    ,
    Pascenti, Matteo
    DOI: 10.1115/1.4053117
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Multidisk bladeless turbines, also known as Tesla turbines, are promising in the field of small-scale power generation and energy harvesting due to their low sensitivity to down-scaling effects, retaining high rotor efficiency. However, low (less than 40%) overall isentropic efficiency has been recorded in the experimental literature. This article aims for the first time to a systematic experimental characterization of loss mechanisms in a 3 kW Tesla expander using compressed air as working fluid and producing electrical power through a high-speed generator (40 krpm). The sources of losses discussed are stator losses, stator–rotor peripheral viscous losses, end-wall ventilation losses, and leakage losses. After description of experimental prototype, methodology, and assessment of measurement accuracy, the article discusses such losses aiming at separating the effects that each loss has on the overall performance. Once effects are separated, their individual impact on the overall efficiency curves is presented. This experimental investigation, for the first time, gives the insight into the actual reasons of low performance of Tesla turbines, highlighting critical areas of improvement, and paving the way to next-generation Tesla turbines, competitive with state-of-the-art bladed expanders.
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      Experimental Characterization of Losses in Bladeless Turbine Prototype

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4284994
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    • Journal of Engineering for Gas Turbines and Power

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    contributor authorRenuke, Avinash
    contributor authorReggio, Federico
    contributor authorTraverso, Alberto
    contributor authorPascenti, Matteo
    date accessioned2022-05-08T09:19:32Z
    date available2022-05-08T09:19:32Z
    date copyright1/21/2022 12:00:00 AM
    date issued2022
    identifier issn0742-4795
    identifier othergtp_144_04_041009.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284994
    description abstractMultidisk bladeless turbines, also known as Tesla turbines, are promising in the field of small-scale power generation and energy harvesting due to their low sensitivity to down-scaling effects, retaining high rotor efficiency. However, low (less than 40%) overall isentropic efficiency has been recorded in the experimental literature. This article aims for the first time to a systematic experimental characterization of loss mechanisms in a 3 kW Tesla expander using compressed air as working fluid and producing electrical power through a high-speed generator (40 krpm). The sources of losses discussed are stator losses, stator–rotor peripheral viscous losses, end-wall ventilation losses, and leakage losses. After description of experimental prototype, methodology, and assessment of measurement accuracy, the article discusses such losses aiming at separating the effects that each loss has on the overall performance. Once effects are separated, their individual impact on the overall efficiency curves is presented. This experimental investigation, for the first time, gives the insight into the actual reasons of low performance of Tesla turbines, highlighting critical areas of improvement, and paving the way to next-generation Tesla turbines, competitive with state-of-the-art bladed expanders.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleExperimental Characterization of Losses in Bladeless Turbine Prototype
    typeJournal Paper
    journal volume144
    journal issue4
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4053117
    journal fristpage41009-1
    journal lastpage41009-8
    page8
    treeJournal of Engineering for Gas Turbines and Power:;2022:;volume( 144 ):;issue: 004
    contenttypeFulltext
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