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    A Lumped Thermodynamic Model of Gas Turbine Blade Cooling: Prediction of First-Stage Blades Temperature and Cooling Flow Rates

    Source: Journal of Energy Resources Technology:;2018:;volume 140:;issue 002::page 20901
    Author:
    Masci, Roberta
    ,
    Sciubba, Enrico
    DOI: 10.1115/1.4038462
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Turbine inlet temperatures (TIT) of 1500–2000 K have become a sort of standard for most modern advanced applications. First-stage blades are obviously the most exposed components to such hot gases, and thus they need proper cooling. In the preliminary design of the blades and their cooling system, designers must rely on simple models that can be further refined at a later stage, in order to have an approximate but valuable set of guidelines and to reach a feasible first-order configuration. In this paper, a simple lumped thermodynamic model of blade cooling is proposed. It is based on mass/energy balances and heat transfer correlations, and it predicts a one-dimensional temperature profile on the blade external surface along the chord for a given gas temperature profile, as well as the required cooling air flow rates to prevent blade material from creep. The greatest advantage of the model is that it can be easily adapted to any operating condition, process parameter, and blade geometry, which makes it well suited to the last technological trends, namely, the investigation of new cooling methods and alternative coolants instead of air. Therefore, the proposed model is expected to be a useful tool in the field of innovative gas turbine cycle analysis, replacing more computationally intensive and very time-consuming models.
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      A Lumped Thermodynamic Model of Gas Turbine Blade Cooling: Prediction of First-Stage Blades Temperature and Cooling Flow Rates

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4250909
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    contributor authorMasci, Roberta
    contributor authorSciubba, Enrico
    date accessioned2019-02-28T10:55:52Z
    date available2019-02-28T10:55:52Z
    date copyright11/28/2017 12:00:00 AM
    date issued2018
    identifier issn0195-0738
    identifier otherjert_140_02_020901.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4250909
    description abstractTurbine inlet temperatures (TIT) of 1500–2000 K have become a sort of standard for most modern advanced applications. First-stage blades are obviously the most exposed components to such hot gases, and thus they need proper cooling. In the preliminary design of the blades and their cooling system, designers must rely on simple models that can be further refined at a later stage, in order to have an approximate but valuable set of guidelines and to reach a feasible first-order configuration. In this paper, a simple lumped thermodynamic model of blade cooling is proposed. It is based on mass/energy balances and heat transfer correlations, and it predicts a one-dimensional temperature profile on the blade external surface along the chord for a given gas temperature profile, as well as the required cooling air flow rates to prevent blade material from creep. The greatest advantage of the model is that it can be easily adapted to any operating condition, process parameter, and blade geometry, which makes it well suited to the last technological trends, namely, the investigation of new cooling methods and alternative coolants instead of air. Therefore, the proposed model is expected to be a useful tool in the field of innovative gas turbine cycle analysis, replacing more computationally intensive and very time-consuming models.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Lumped Thermodynamic Model of Gas Turbine Blade Cooling: Prediction of First-Stage Blades Temperature and Cooling Flow Rates
    typeJournal Paper
    journal volume140
    journal issue2
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4038462
    journal fristpage20901
    journal lastpage020901-10
    treeJournal of Energy Resources Technology:;2018:;volume 140:;issue 002
    contenttypeFulltext
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