REDUCED-ORDER MODELING OF EXTREME SPEED TURBOCHARGERS

被引:0
|
作者
Fellows, David W. [1 ]
Bodony, Daniel J. [1 ]
McGowan, Ryan C. [2 ]
机构
[1] Univ Illinois, Champaign, IL 61820 USA
[2] DEVCOM Army Res Lab, Aberdeen Proving Ground, MD USA
关键词
Aeroelasticity; fluid-structure interaction; flutter; turbocharger; turbomachinery; vibration; UNSTEADY-FLOW; VIBRATION; FLUTTER;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In order to improve their efficiency and performance, aircraft intermittent combustion engines often incorporate turbochargers that are adapted from ground-based applications. These turbochargers experience conditions outside of their design operating envelope and are found to experience high-cycle fatigue brought on by aerodynamically-induced blade resonances. The onset of fluid-structural interactions, such as flutter and forced response, in turbochargers at these conditions has not been extensively studied. A reduced-order model of the aeroelastic response of the turbine is developed using the Euler-Lagrange equation informed by numerical data from uncoupled computational fluid dynamic (CFD) and computational structural dynamic (CSD) calculations. The structural response of the reduced-order model is derived from a method of assumed modes approach. The unsteady fluid response is described by a modified version of piston theory as a first step towards including inhomogeneous aerodynamic forcing. Details of the reduced order model are given. The capability of the reduced-order model to predict the presence of flutter from a subset of the uncoupled numerical simulation data is discussed.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Reduced-order modeling of high-speed jets controlled by arc filament plasma actuators
    Aniruddha Sinha
    Andrea Serrani
    Mo Samimy
    Experiments in Fluids, 2013, 54
  • [42] Reduced-order modeling for Ablowitz-Ladik equation
    Uzunca, Murat
    Karasoezen, Buelent
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2023, 213 : 261 - 273
  • [43] Switched dynamic systems for reduced-order flow modeling
    Hamilton, Howard H.
    Kurdila, Andrew J.
    Jammulamadaka, Anand K.
    AIAA Journal, 2008, 46 (03): : 664 - 672
  • [44] REDUCED-ORDER MODELING OF THE ACTIVATED-SLUDGE PROCESS
    MARSILILIBELLI, S
    ECOLOGICAL MODELLING, 1980, 9 (01) : 15 - 32
  • [45] Modeling of an Opposed Multiburner Gasifier with a Reduced-Order Model
    Li, Chao
    Dai, Zhenghua
    Sun, Zhonghua
    Wang, Fuchen
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2013, 52 (16) : 5825 - 5834
  • [46] A DATA COMPRESSION APPROACH FOR PGD REDUCED-ORDER MODELING
    Neron, David
    Ladeveze, Pierre
    PROCEEDINGS OF THE ASME 11TH BIENNIAL CONFERENCE ON ENGINEERING SYSTEMS DESIGN AND ANALYSIS, 2012, VOL 1, 2012, : 321 - 324
  • [47] Use of Reduced-Order Modeling Procedures for Production Optimization
    Cardoso, M. A.
    Durlofsky, L. J.
    SPE JOURNAL, 2010, 15 (02): : 426 - 435
  • [48] A comparison of reduced-order techniques for complex interconnects modeling
    Grivet-Talocia, S
    Maio, I
    Stievano, I
    Canavero, F
    2002 IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY, VOLS 1 AND 2, SYMPOSIUM RECORD, 2002, : 457 - 462
  • [49] Methodology for Reduced-Order Multichannel Modeling of a Catalytic Converter
    Nagarajan, Pratheeba Chanda
    Strom, Henrik
    Sjoblom, Jonas
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2024, 63 (41) : 17462 - 17476
  • [50] Switched dynamic systems for reduced-order flow modeling
    Hamilton, Howard H.
    Kurdila, Andrew J.
    Jammulamadaka, Anand K.
    AIAA JOURNAL, 2008, 46 (03) : 664 - 672