Impact of internal lattice structures on the weight and natural frequencies of a low pressure turbine blade

被引:0
|
作者
Safdar, Muhammad U. [1 ]
Shen, Xing [1 ]
Saheby, Eiman B. [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Aerosp Engn, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
lattice structures; simple cubic lattice; octahedron lattice; body-centered cubic lattice; numerical modal analysis; numerical modal and harmonic analysis; T106C blade; NACA; 23012; U-500; material; IN738;
D O I
10.1177/09544100241286134
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Vibration characteristics play a crucial role in the overall performance of Low-pressure (LP) turbine blades and different techniques are developed to enhance vibrational response by increasing natural frequencies. The present analysis aims to develop a new technique based on the investigation of improvement in natural frequencies and mass reduction of a topology-optimized blade design through location-based integration of lattice structures inside the blades. FE models are developed for three different lattice locations based on mode shape behavior obtained through modal analysis of two different nickel-based alloys at stressed and unstressed conditions. The results show that the internal BCC lattice at specific locations showed better vibrational characteristics compared to other incorporated lattice structures, and validates the location-based integration scheme for enhancement of natural frequencies and reduced mass in applied conditions. By this method, 5.7% mass reduction was achieved from an already 35% mass-reduced blade along with enhancement in the first and second natural frequencies by 8.2% and 5.9% respectively when unstressed. At stressed condition, the natural frequencies increased by approximate to 7.7% and approximate to 6.6%.
引用
收藏
页码:73 / 90
页数:18
相关论文
共 50 条
  • [21] Profile aerodynamics of an oscillating low-pressure-turbine blade
    Schwarzbach F.
    Mimic D.
    Herbst F.
    International Journal of Gas Turbine, Propulsion and Power Systems, 2020, 11 (04): : 68 - 75
  • [22] Development of blade profiles for low-pressure turbine applications
    Curtis, EM
    Hodson, HP
    Banieghbal, MR
    Denton, JD
    Howell, RJ
    Harvey, NW
    JOURNAL OF TURBOMACHINERY-TRANSACTIONS OF THE ASME, 1997, 119 (03): : 531 - 538
  • [23] Creep failure of low pressure turbine blade of an aircraft engine
    Ejaz, N.
    Qureshi, I. N.
    Rizvi, S. A.
    ENGINEERING FAILURE ANALYSIS, 2011, 18 (06) : 1407 - 1414
  • [24] Study for Fracture in the Last Stage Blade of a Low Pressure Turbine
    Lee, Gil Jae
    Kim, Jae Hoon
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2016, 40 (04) : 423 - 428
  • [25] Root cause analysis of low pressure turbine blade failure
    Chynoweth, JM
    Gerzen, GS
    Tomala, RW
    PROCEEDINGS OF THE AMERICAN POWER CONFERENCE, VOL 58, PTS I AND II, 1996, 58 : 1230 - 1236
  • [26] HEAT TRANSFER ENHANCEMENT FOR GAS TURBINE BLADE INTERNAL COOLING WITH LATTICE STRUCTURED RIB
    Kim, Sangmin
    Park, Yong Gap
    Yoon, Sang Youl
    Ha, Man Yeong
    Min, June Kee
    PROCEEDINGS OF ASME TURBO EXPO 2024: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2024, VOL 8, 2024,
  • [27] Investigation of the Impact of Unsteady Turbulence Effects on the Aeroelastic Analysis of a Low-Pressure Turbine Rotor Blade
    Heners, Jan Philipp
    Vogt, Damian M.
    Frey, Christian
    Ashcroft, Graham
    JOURNAL OF TURBOMACHINERY-TRANSACTIONS OF THE ASME, 2019, 141 (10):
  • [28] Impact of blade mounting structures on cross-flow turbine performance
    Strom, Benjamin
    Johnson, Noah
    Polagye, Brian
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2018, 10 (03)
  • [29] Impact of complex flow structures on the turbine blade tip region mixing
    Huang, Lin
    Zou, Zhengping
    Fu, Chao
    Liu, Yumin
    Shao, Fei
    PHYSICS OF FLUIDS, 2023, 35 (01)
  • [30] FEM analysis of natural frequencies of jet engine iSTC-21v turbine blade
    Spodniak, M.
    Semrad, K.
    Fozo, L.
    Pavlinsky, J.
    2019 IEEE 17TH WORLD SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS (SAMI 2019), 2019, : 287 - 291