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contributor authorKulkarni, Davendu
contributor authordi Mare, Luca
date accessioned2022-05-08T09:18:23Z
date available2022-05-08T09:18:23Z
date copyright12/9/2021 12:00:00 AM
date issued2021
identifier issn0742-4795
identifier othergtp_144_03_031011.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284966
description abstractThe design and analysis of the secondary air system (SAS) of gas turbine engine is a complex and time-consuming process because of the complicated topology and iterative nature of SAS design. The conventional SAS design-analysis model generation process is quite tedious and inefficient. It is still largely dependent on human expertise and thus incurs high time-cost. This paper presents an automated, whole-engine SAS flow network model generation methodology. This method accesses a prebuilt feature-based whole-engine geometry model and transforms the geometry features into the features suitable for SAS flow network analysis. The proposed method extracts both the geometric and non-geometric information from the engine geometry model such as rotational frames, materials, and boundary conditions. Apart from ensuring geometric consistency, this methodology also establishes a bidirectional information exchange protocol between the engine geometry model and the SAS flow network model, which enables to make engine geometry modifications based on SAS analysis results. The application of this feature mapping methodology is demonstrated by generating the SAS flow network model of a modern three-shaft gas turbine engine. This flow network model is generated within a few minutes, without any human intervention, which significantly reduces the SAS design-analysis time cost. The proposed methodology seamlessly links the geometry and the air system modelers of Virtual Gas Turbines simulation framework and thus allows performing a large number of whole-engine SAS simulations, design optimizations and fast redesign activities.
publisherThe American Society of Mechanical Engineers (ASME)
titleVirtual Gas Turbines Part II: An Automated Whole-Engine Secondary Air System Model Generation
typeJournal Paper
journal volume144
journal issue3
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4052561
journal fristpage31011-1
journal lastpage31011-10
page10
treeJournal of Engineering for Gas Turbines and Power:;2021:;volume( 144 ):;issue: 003
contenttypeFulltext


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