Numerical Study on Acoustic Oscillations of 2D and 3D Flue Organ Pipe Like Instruments with Compressible LES

被引:20
|
作者
Miyamoto, Masataka [1 ]
Ito, Yasunori [1 ]
Iwasaki, Takuya [1 ]
Akamura, Takahiro [1 ]
Takahashi, Kin'ya [1 ]
Takami, Toshiya [2 ]
Kobayashi, Taizo [2 ]
Nishida, Akira [2 ]
Aoyagi, Mutsumi [2 ]
机构
[1] Kyushu Inst Technol, Phys Labs, Iizuka, Fukuoka 8208502, Japan
[2] Kyushu Univ, Res Inst Informat Technol, Higashi Ku, Fukuoka 8128581, Japan
基金
日本学术振兴会;
关键词
LARGE-EDDY SIMULATION; SOUND PRODUCTION; WAVE-PROPAGATION; RECORDERLIKE INSTRUMENTS; MOUTH GEOMETRY; JET VELOCITY; MECHANISM; MODEL; INSTABILITY; VIBRATIONS;
D O I
10.3813/AAA.918599
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Acoustic oscillations of flue instruments are investigated numerically using compressible Large Eddy Simulation (LES). Investigating 2D and 3D models of flue instruments, we reproduce acoustic oscillations excited in the resonators as well as an important characteristic feature of flue instruments - the relation between the acoustic frequency and the jet velocity described by the semi-empirical theory developed by Cremer & Ising, Coltman and Fletcher et al. based on experimental results. Both 2D and 3D models exhibit almost the same oscillation frequency for a given jet velocity, but the acoustic oscillation as well as the jet motion is more stable in the 3D model than in the 2D model, due to less stability in 3D fluid of the rolled up eddies created by the collision of the jet with the edge, which largely disturb the jet motion and acoustic field in the 2D model. We also investigate the ratio of the amplitude of the acoustic flow through the mouth opening to the jet velocity, comparing with the experimental results and semi-empirical theory given by Hirschberg et al..
引用
收藏
页码:154 / 171
页数:18
相关论文
共 50 条
  • [41] PREDICTION OF ICE ACCRETION - COMPARISON BETWEEN THE 2D AND 3D CODES
    GUFFOND, D
    HEDDE, T
    RECHERCHE AEROSPATIALE, 1994, (02): : 103 - 115
  • [42] Efficient algorithms for boundary extraction of 2D and 3D orthogonal pseudomanifolds
    Vigo, Marc
    Pla, Nuria
    Ayala, Dolors
    Martinez, Jonas
    GRAPHICAL MODELS, 2012, 74 : 61 - 74
  • [43] Recovering 3D particle size distributions from 2D sections
    Cuzzi, Jeffrey N.
    Olson, Daniel M.
    METEORITICS & PLANETARY SCIENCE, 2017, 52 (03) : 532 - 545
  • [44] Rotational-symmetry in a 3D scene and its 2D image
    Sawada, Tadamasa
    Zaidi, Qasim
    JOURNAL OF MATHEMATICAL PSYCHOLOGY, 2018, 87 : 108 - 125
  • [45] Method Comparison of 3D Facial Reconstruction Coresponding to 2D Image
    Tjahyaningtijas, H. P. A.
    Puspitasari, P.
    Yamasari, Y.
    Anifah, L.
    Buditjahyanto, I. G. P. A.
    2ND ANNUAL APPLIED SCIENCE AND ENGINEERING CONFERENCE (AASEC 2017), 2018, 288
  • [46] Efficient Converted Spiking Neural Network for 3D and 2D Classification
    Lan, Yuxiang
    Zhang, Yachao
    Ma, Xu
    Qu, Yanyun
    Fu, Yun
    2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), 2023, : 9177 - 9186
  • [47] Is It Time to Start Transitioning From 2D to 3D Cell Culture?
    Jensen, Caleb
    Teng, Yong
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2020, 7
  • [48] Visualizing the 3D Structure of Medical Objects Based on 2D Data
    Lanitis, Andreas
    Stylianou, Georgios
    2009 9TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS IN BIOMEDICINE, 2009, : 107 - +
  • [49] Establishment of bovine 3D enteroid-derived 2D monolayers
    Sutton, Kate M.
    Orr, Brigid
    Hope, Jayne
    Jensen, Stina R.
    Vervelde, Lonneke
    VETERINARY RESEARCH, 2022, 53 (01) : 15
  • [50] 3D phase-field simulations to machine-learn 3D information from 2D micrographs
    Jiang, Yuxun
    Ali, Muhammad Adil
    Roslyakova, Irina
    Buerger, David
    Eggeler, Gunther
    Steinbach, Ingo
    MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING, 2023, 31 (03)