GT2021-60075 A Novel Deep Learning Model for the Flow Field Reconstruction of An Oseillating Airfoil

GT2021-60075 A Novel Deep Learning Model for the Flow Field Reconstruction of An Oseillating Airfoil

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ASME Turbo Expo (2021 : Online) Proceedings of ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition ; Volume 9, A: Structures and dynamics: Aerodynamics excitation and damping, bearing and seal dynamics, emerging methods in design and engineering
1. Verfasser: Li, Yunzhu (VerfasserIn)
Weitere Verfasser: Liu, Tianyuan (VerfasserIn), You, Jiarui (VerfasserIn), Xie, Yonghui (VerfasserIn)
Pages:2021
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
GT2021-58782 Experimental Damping Behavior of Strongly Coupled Structure and Acoustic Modes of a Rotating Disk With Side Cavities 2021 Barabas, Botond
GT2021-58546 Effective Clearance And Differential Gapping Impact on Seal Flutter Modelling and Validation 2021 Corral, Roque
GT2021-59124 Investigation of Mistuned Osecillating Cascade Using Fully-Coupled Method 2021 Phan, H. M.
GT2021-60075 A Novel Deep Learning Model for the Flow Field Reconstruction of An Oseillating Airfoil 2021 Li, Yunzhu
GT2021-58996 Static and Rotordynamic Characteristics for Two Novel Hole-Pattern Annular Liquid Seals With Sircumferentially- /Axially- Oblique Hole Cavities 2021 Fang, Zhi
GT2021-59131 Measurements of Static and Dynamic Load Performance of a 102 mm Carbon-Graphite Porous Surface Tilting-Pad Gas Journal Bearing 2021 Andrés, Luis San
GT2021-60106 Effects of Increased Tooth Clearance on the Performance of a Labyrinth Seal With Oil-Rich Buhbiv Laminar Flow 2021 Zhang, Min
GT2021-60203 Thermohydrodynamic Modeling of a Tapered-Land Thrust Bearing With Validation Against Experimental Data 2021 Gokaltun, Seckin
GT2021-60360 Optically Observed Turbulence In Thrust Collars at Low Critical Reynolds Number Including Numerical Predictions 2021 Kerr, Thomas
GT2021-59863 Identification of Slip Load, Friction Force and External Force Using Unscented Kalman Filter for Frictionally Damped Turbine Blades 2021 Patel, Himanshu
GT2021-59040 Practical Method for Burner Staging Turbine Forced Response Evaluation 2021 Kafedzhiyski, Nikola
GT2021-59346 Supersonic Aerodynamic Instability Characteristics of Bidirectional Porous Functionally Graded Panel 2021 Rajidi, Shashidhar Reddy
GT2021-60346 Physical Modal for Acoustic Resonance Based on the Circular Cavity Structure in the Compressor 2021 Fengtong, Zhao
GT2021-58631 CFD Analysis of the Influence of Gas Content on the Rotordynamic Force Coefficients for a Circumferentially Grooved Annular Seal for Multiple Phase Pumps 2021 Wu, Tingcheng
GT2021-58958 An Analytical Two-Phase Flow Model for Prediction of Leakage in Wet Gas Labyrinth Seals and Pocket Damper Seals. Is Simplicity Still Desired? 2021 Yang, Jing
GT2021-59872 Determination of the Area of Rational Use of Hybrid Bearings With Steel Rings and Ceramic Pallina Elements in High-Speed Aircraft Engines 2021 Lavrentyev, Yury
GT2021-59003 On Virtual Clearance Monitoring of Steam Turbine by Using Model Order Reduction 2021 Ito, Hiroshi
GT2021-60201 Design, Development and Validation of Additively Manufactured First Stage Turbine Vane for F Class Industrial Gas Turbine 2021 Torkaman, Alex
GT2021-58779 Influence of Stator Hub Cavities on the Forced Response Behaviour of an Embedded Compressor Rotor 2021 Hegde, Shreyas
GT2021-58766 Numerical Investigation on the Influence of Tip Shroud Design Characteristics on the Aerodynamic Damping of a Last Stage Blade 2021 Rozendaal, Alexander V.
Alle Artikel auflisten