Recent developments in gas turbine component temperature prediction methods, using computational fluid dynamics and optimization tools, in conjunction with more conventional finite element analysis techniques

被引:24
作者
Dixon, JA
Verdicchio, JA
Benito, D
Karl, A
Tham, KM
机构
[1] Rolls Royce PLC, Thermal Syst Dept, Airlines Engn, Derby DE2 8BJ, England
[2] Rolls Royce Deutschland, Thermomech Methods Dept, Dahlewitz, Germany
[3] Univ Sussex, Thermo Fluid Mech Res Ctr, Brighton, E Sussex, England
关键词
heat transfer; finite elements; computational fluid dynamics; optimization;
D O I
10.1243/0957650041200641
中图分类号
O414.1 [热力学];
学科分类号
摘要
Accurate temperature predictions are essential to the optimization of gas turbine component design. This paper provides an update on the application of recent developments in heat transfer boundary condition derivation and finite element model validation. Computational fluid dynamics (CFD) is increasingly being used to determine cooling flow distributions and convective heat fluxes on a range of components. Validation of the CFD methodology for internal cavity heat transfer is also a key focus of major research programmes. In this paper, further results are presented for selected engine and rig cavities. A fully coupled CFD/finite element thermal model solution is also demonstrated. Increasingly, the application of optimization techniques to the thermal model calibration process is showing that significant savings in analysis time can be achieved for a given accuracy of 'match'. The optimization process is described and sample results are presented from the calibration of a typical thermal model. Finally, the impact of these new analysis techniques on the derivation of thermal boundary conditions in gas turbine component cavities and the implications for compliance with Airworthiness Authority regulations are summarized with respect to offering an improved temperature prediction validation strategy.
引用
收藏
页码:241 / 255
页数:15
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