Volume 5A: Heat Transfer 2015
DOI: 10.1115/gt2015-42457
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Aerothermal Prediction of an Aeronautical Combustion Chamber Based on the Coupling of Large Eddy Simulation, Solid Conduction and Radiation Solvers

Abstract: A precise knowledge of the thermal environment is essential for gas turbines design. Combustion chamber walls in particular are subject to strong thermal constraints. It is thus essential for designers to characterize accurately the local thermal state of such devices. Today, the determination of wall temperatures is performed experimentally by complex thermocolor tests. To limit such expensive experiments and integrate the knowledge of the thermal environment earlier in the design process, efforts are current… Show more

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Cited by 6 publications
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“…Note that computing the interaction between the flame and the wall requires to compute both the flow and the temperature within the walls simultaneously: the LES code must be coupled with a heat transfer code within the combustor walls. This task is not simple [19,20] because time scales are usually very different (a few milliseconds in the flow and a few minutes in the walls).…”
Section: Introductionmentioning
confidence: 99%
“…Note that computing the interaction between the flame and the wall requires to compute both the flow and the temperature within the walls simultaneously: the LES code must be coupled with a heat transfer code within the combustor walls. This task is not simple [19,20] because time scales are usually very different (a few milliseconds in the flow and a few minutes in the walls).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, to effectively handle this problem and reduce computational costs, a loosely coupling is preferred, where segregated simulation processes are adopted for each involved physics (i.e., flow field, radiation, and heat conduction) exchanging only the relevant quantities among domains at a given frequency. The open literature reports several approaches suitable for the analysis of long transients [ 19 , 20 ] or quasi-steady [ 21 , 22 , 23 ] metal temperature evolution.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, in order to effectively overcome this issue and minimize the CPU cost, loose coupling is preferred where different simulations are devoted to each physics exchanging only some quantities at a given frequency at the interface between two coupled domains. Several approaches can be found in literature, suitable for the prediction of long transient [19,20] or quasi-steady [21][22][23] metal temperature.…”
Section: Introductionmentioning
confidence: 99%