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    A Damage Evaluation Model of Turbine Blade for Gas Turbine

    Source: Journal of Engineering for Gas Turbines and Power:;2017:;volume( 139 ):;issue: 009::page 92602
    Author:
    Zhou, Dengji
    ,
    Wei, Tingting
    ,
    Zhang, Huisheng
    ,
    Ma, Shixi
    ,
    Weng, Shilie
    DOI: 10.1115/1.4036060
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Current maintenance, having a great impact on the safety, reliability and economics of a gas turbine, becomes the major obstacle for the application of gas turbines in energy field. An effective solution is to process condition based maintenance (CBM) thoroughly for gas turbines. Maintenance of high temperature blade, accounting for the most of the maintenance costs and time, is the crucial section of gas turbine maintenance. The suggested life of high temperature blade by original equipment manufacturer (OEM) is based on several certain operating conditions, which is used for time based maintenance (TBM). Thus, for the requirement of gas turbine CBM, a damage evaluation model is demanded to estimate the life consumption online. A physics-based model is built, consisting of thermodynamic performance simulation model, stress estimation model, thermal estimation model, and interactive damage analysis model. Unmeasured parameters are simulated by the thermodynamic performance simulation model, as the input of the stress estimation model and the thermal estimation model. Due to the ability to analyze online data, this model can be used to calculate online damage and support CBM decision. Then the stress and temperature distribution of blades will become as the input of the creep damage analysis model and the fatigue damage analysis model. The interactive damage of blades will be evaluated based on the creep and fatigue analysis results. To validate this physics-based model, it is used to calculate the lifes of high temperature blade under several certain operating conditions. And the results are compared to the suggestion value of OEM. An application case is designed to evaluate the application effect of this model. The result shows that the relative error of this model is less than 10.4% in selected cases. And it can cut overhaul costs and increase the availability of gas turbines significantly. Finally, a simple application of this model is proposed to show its functions. The physical-based damage evaluation model proposed in this paper is found to be a useful tool to tracing the online life consumption of a high temperature blade, to support the implementation of CBM for gas turbines, and to guarantee the reliability of gas turbines with lowest maintenance costs.
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      A Damage Evaluation Model of Turbine Blade for Gas Turbine

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4233785
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    • Journal of Engineering for Gas Turbines and Power

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    contributor authorZhou, Dengji
    contributor authorWei, Tingting
    contributor authorZhang, Huisheng
    contributor authorMa, Shixi
    contributor authorWeng, Shilie
    date accessioned2017-11-25T07:16:02Z
    date available2017-11-25T07:16:02Z
    date copyright2017/11/4
    date issued2017
    identifier issn0742-4795
    identifier othergtp_139_09_092602.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4233785
    description abstractCurrent maintenance, having a great impact on the safety, reliability and economics of a gas turbine, becomes the major obstacle for the application of gas turbines in energy field. An effective solution is to process condition based maintenance (CBM) thoroughly for gas turbines. Maintenance of high temperature blade, accounting for the most of the maintenance costs and time, is the crucial section of gas turbine maintenance. The suggested life of high temperature blade by original equipment manufacturer (OEM) is based on several certain operating conditions, which is used for time based maintenance (TBM). Thus, for the requirement of gas turbine CBM, a damage evaluation model is demanded to estimate the life consumption online. A physics-based model is built, consisting of thermodynamic performance simulation model, stress estimation model, thermal estimation model, and interactive damage analysis model. Unmeasured parameters are simulated by the thermodynamic performance simulation model, as the input of the stress estimation model and the thermal estimation model. Due to the ability to analyze online data, this model can be used to calculate online damage and support CBM decision. Then the stress and temperature distribution of blades will become as the input of the creep damage analysis model and the fatigue damage analysis model. The interactive damage of blades will be evaluated based on the creep and fatigue analysis results. To validate this physics-based model, it is used to calculate the lifes of high temperature blade under several certain operating conditions. And the results are compared to the suggestion value of OEM. An application case is designed to evaluate the application effect of this model. The result shows that the relative error of this model is less than 10.4% in selected cases. And it can cut overhaul costs and increase the availability of gas turbines significantly. Finally, a simple application of this model is proposed to show its functions. The physical-based damage evaluation model proposed in this paper is found to be a useful tool to tracing the online life consumption of a high temperature blade, to support the implementation of CBM for gas turbines, and to guarantee the reliability of gas turbines with lowest maintenance costs.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Damage Evaluation Model of Turbine Blade for Gas Turbine
    typeJournal Paper
    journal volume139
    journal issue9
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4036060
    journal fristpage92602
    journal lastpage092602-9
    treeJournal of Engineering for Gas Turbines and Power:;2017:;volume( 139 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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