Volume 3: Turbo Expo 2002, Parts a and B 2002
DOI: 10.1115/gt2002-30615
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Conjugate Heat Transfer Analysis of Turbine Rotor-Stator System

Abstract: A fluid-solid conjugate solver has been newly developed and applied to an actual engine disk system. Most of the currently available conjugate solvers lack the special thermal modeling for turbomachinery disk system applications. In the present new code, these special models are implemented to expand the applicability of the conjugate method and to reduce the required computational resources. Most of the conjugate analysis work so far were limited to the axisymmetric framework. However, the actual disk system … Show more

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Cited by 26 publications
(14 citation statements)
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“…Among the advantages it may offer are a lower level of human intervention and time required to set up the models, and more importantly, automatic generation of the boundary conditions for the downstream components. However, this comes at a price of a considerably higher computational effort required to run a simulation through an engine transient flight cycle leading to long analysis times.Many studies in recent years sought to improve the predictive capabilities of thermo-mechanical analysis codes by coupling FE solvers to detailed CFD models of individual components to more accurately evaluate wall temperature distribution in turbine cavities, see, for example, [3,4,5,6,7]. While these studies were able to obtain only a general agreement with the experimental data, they did demonstrate many of the fundamental features outlined in earlier investigations.…”
mentioning
confidence: 39%
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“…Among the advantages it may offer are a lower level of human intervention and time required to set up the models, and more importantly, automatic generation of the boundary conditions for the downstream components. However, this comes at a price of a considerably higher computational effort required to run a simulation through an engine transient flight cycle leading to long analysis times.Many studies in recent years sought to improve the predictive capabilities of thermo-mechanical analysis codes by coupling FE solvers to detailed CFD models of individual components to more accurately evaluate wall temperature distribution in turbine cavities, see, for example, [3,4,5,6,7]. While these studies were able to obtain only a general agreement with the experimental data, they did demonstrate many of the fundamental features outlined in earlier investigations.…”
mentioning
confidence: 39%
“…A time step is accepted whenever the interface temperature difference becomes smaller than 2.5K. The Anderson mixing parameters are set to 0.5 for the drive cone cavity (1), 0.4 for two pre-swirl cavities (2)-(3) and 0.3 for both bore and rear cavities (4)- (5). The simulations are conducted on a Linux cluster utilizing in most situations 144 processors.…”
Section: Computational Performancementioning
confidence: 99%
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“…Many studies in recent years sought to improve the predictive capabilities of thermo-mechanical analysis codes by coupling FE solvers to detailed CFD models of individual components to more accurately evaluate wall temperature distribution in turbine cavities, see, for example, [3,4,5,6,7]. While these studies were able to obtain only a general agreement with the experimental data, they did demonstrate many of the fundamental features outlined in earlier investigations.…”
Section: Introductionmentioning
confidence: 39%
“…Much of this work has been applied to turbine blade cooling applications, with early work, for example, by Heselhaus et al [2], Li and Kassab [3], Bohn et al [4,5,6] and Chew et al [7], and more recent studies by Kusterer et al [8], Davison et al [9], Starke et al [10] and He and Oldfield [11]. Recent years have seen this extended to disk cavity flow, for example by Verdicchio et al [12], Mirzamoghadam and Xiao [13], Okita and Yamawaki [14,15], Lewis et al [16], Illingworth et al [17], Alizadeh et al [18,19] and Sun et al [20].…”
Section: Introductionmentioning
confidence: 98%