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    Convergent Zone-Refinement Method for Risk Assessment of Gas Turbine Disks Subject to Low-Frequency Metallurgical Defects

    Source: Journal of Engineering for Gas Turbines and Power:;2007:;volume( 129 ):;issue: 003::page 827
    Author:
    Harry R. Millwater
    ,
    Michael P. Enright
    ,
    Simeon H. K. Fitch
    DOI: 10.1115/1.2431393
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Titanium gas turbine disks are subject to a rare but not insignificant probability of fracture due to metallurgical defects, particularly hard α. A probabilistic methodology has been developed and implemented in concordance with the Federal Aviation Administration (FAA) Advisory Circular 33.14-1 to compute the probability of fracture of gas turbine titanium disks subject to low-frequency metallurgical (hard α) defects. This methodology is further developed here to ensure that a robust, converged, accurate calculation of the probability is computed that is independent of discretization issues. A zone-based material discretization methodology is implemented, then refined locally through further discretization using risk contribution factors as a metric. The technical approach is akin to “h” refinement in finite element analysis; that is, a local metric is used to indicate regions requiring further refinement, and subsequent refinement yields a more accurate solution. Supporting technology improvements are also discussed, including localized finite element refinement and onion skinning for zone subdivision resolution, and a restart database and parallel processing for computational efficiency. A numerical example is presented for demonstration.
    keyword(s): Product quality , Stress , Finite element analysis , Fracture (Process) , Gas turbines , Disks , Probability , Titanium , Algorithms , Risk assessment , Fracture (Materials) AND Fracture mechanics ,
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      Convergent Zone-Refinement Method for Risk Assessment of Gas Turbine Disks Subject to Low-Frequency Metallurgical Defects

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    http://yetl.yabesh.ir/yetl1/handle/yetl/135713
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    contributor authorHarry R. Millwater
    contributor authorMichael P. Enright
    contributor authorSimeon H. K. Fitch
    date accessioned2017-05-09T00:23:40Z
    date available2017-05-09T00:23:40Z
    date copyrightJuly, 2007
    date issued2007
    identifier issn1528-8919
    identifier otherJETPEZ-26960#827_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/135713
    description abstractTitanium gas turbine disks are subject to a rare but not insignificant probability of fracture due to metallurgical defects, particularly hard α. A probabilistic methodology has been developed and implemented in concordance with the Federal Aviation Administration (FAA) Advisory Circular 33.14-1 to compute the probability of fracture of gas turbine titanium disks subject to low-frequency metallurgical (hard α) defects. This methodology is further developed here to ensure that a robust, converged, accurate calculation of the probability is computed that is independent of discretization issues. A zone-based material discretization methodology is implemented, then refined locally through further discretization using risk contribution factors as a metric. The technical approach is akin to “h” refinement in finite element analysis; that is, a local metric is used to indicate regions requiring further refinement, and subsequent refinement yields a more accurate solution. Supporting technology improvements are also discussed, including localized finite element refinement and onion skinning for zone subdivision resolution, and a restart database and parallel processing for computational efficiency. A numerical example is presented for demonstration.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleConvergent Zone-Refinement Method for Risk Assessment of Gas Turbine Disks Subject to Low-Frequency Metallurgical Defects
    typeJournal Paper
    journal volume129
    journal issue3
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.2431393
    journal fristpage827
    journal lastpage835
    identifier eissn0742-4795
    keywordsProduct quality
    keywordsStress
    keywordsFinite element analysis
    keywordsFracture (Process)
    keywordsGas turbines
    keywordsDisks
    keywordsProbability
    keywordsTitanium
    keywordsAlgorithms
    keywordsRisk assessment
    keywordsFracture (Materials) AND Fracture mechanics
    treeJournal of Engineering for Gas Turbines and Power:;2007:;volume( 129 ):;issue: 003
    contenttypeFulltext
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