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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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