Aero-Structural Coupling Strategy for a Morphing Blade Cascade Study

被引:1
|
作者
Abate, Giada [1 ]
Riemenschneider, Johannes [1 ]
Hergt, Alexander [2 ]
机构
[1] German Aerosp Ctr DLR, Inst Composite Struct & Adapt Syst, Lilienthalpl 7, D-38108 Braunschweig, Germany
[2] German Aerosp Ctr DLR, Inst Prop Technol, D-51147 Cologne, Germany
来源
关键词
computational fluid dynamics (CFD); fan blades; compressor; fluid-structure interaction; SMART STRUCTURES; OPTIMIZATION;
D O I
10.1115/1.4053174
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The coupling of aerodynamics and structural mechanics is an important step in the design process of aeronautical devices with morphing parts. In this article, a 2D-3D coupling approach is developed to study a morphing blade cascade. Two shape memory alloy actuators are placed on the upper and lower sides of the blade to make possible the change in shape of the leading edge. In the present study, a preliminary design study is conducted by considering a two-dimensional computational fluid dynamics (CFD) analysis of an airfoil cascade coupled with a three-dimensional structural analysis of the whole 3D blade. A methodology is developed to match 2D and 3D meshes such that the aerodynamic loads can be easily transferred to the structural analysis. From there, the deformed blade geometry due to both aerodynamic loads and actuator work can be transferred back to the CFD solver, and the iterative aero-structural coupling loop can be repeated until convergence. The aero-structural coupling strategy developed in this study is also applied to a blade cascade study aiming to improve its performance by morphing the leading-edge of the blade. The results of this application show that by morphing the leading-edge blade of only few millimeters (less than 2 mm), it is possible to achieve a relevant performance improvement in terms of total pressure loss coefficient decrease of about 53% considering off-design conditions.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] AERO-STRUCTURAL ANALYSIS OF WIND TURBINE BLADES WITH SWEEP AND WINGLETS - COUPLING A VORTEX LINE METHOD TO ADAMS/AERODYN
    Braaten, Mark E.
    Gopinath, Arathi
    PROCEEDINGS OF THE ASME TURBO EXPO 2011, VOL 1, 2011, : 821 - 829
  • [32] Conceptual aero-structural design of a fan stage under distorted flow
    Pokhrel, Manish
    Sarojini, Darshan
    Mavris, Dimitri N.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2023, 237 (11) : 2545 - 2560
  • [33] Multiobjective Optimization for the Aero-Structural Design of Adaptive Compliant Wing Devices
    De Gaspari, Alessandro
    APPLIED SCIENCES-BASEL, 2020, 10 (18):
  • [34] Aero-structural Design of Composite Wings for Airborne Wind Energy Applications
    Candade, Ashwin A.
    Ranneberg, Maximillian
    Schmehl, Roland
    SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5, 2020, 1618
  • [35] Integration aspects of the collaborative aero-structural design of an unmanned aerial vehicle
    Walther J.-N.
    Gastaldi A.-A.
    Maierl R.
    Jungo A.
    Zhang M.
    CEAS Aeronautical Journal, 2020, 11 (01): : 217 - 227
  • [36] Aero-structural optimization-based tailoring of bridge deck geometry
    Montoya, M. Cid
    Hernandez, S.
    Kareem, A.
    ENGINEERING STRUCTURES, 2022, 270
  • [37] An Improved Framework for the Computation of Coupled Aero-Structural Design Optimization of Wing
    Qian Jing-jing
    Wang Fu-xin
    2011 INTERNATIONAL CONFERENCE ON AEROSPACE ENGINEERING AND INFORMATION TECHNOLOGY (AEIT 2011), 2011, : 263 - 268
  • [38] Fast Aero-Structural Model of a Leading-Edge Inflatable Kite
    Cayon, Oriol
    Gaunaa, Mac
    Schmehl, Roland
    ENERGIES, 2023, 16 (07)
  • [39] Aero-structural optimization using adjoint coupled post-optimality sensitivities
    Chittick, Ian R.
    Martins, Joaquim R. R. A.
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2008, 36 (01) : 59 - 70
  • [40] Aero-structural optimization using adjoint coupled post-optimality sensitivities
    Ian R. Chittick
    Joaquim R. R. A. Martins
    Structural and Multidisciplinary Optimization, 2008, 36 : 59 - 70