Redirigiendo al acceso original de articulo en 16 segundos...
Inicio  /  Aerospace  /  Vol: 10 Par: 6 (2023)  /  Artículo
ARTÍCULO
TITULO

Combined Experimental and Numerical Investigation of a Hypersonic Turbulent Boundary Layer by Means of FLDI and Large-Eddy Simulations

Giannino Ponchio Camillo    
Alexander Wagner    
Takahiko Toki and Carlo Scalo    

Resumen

This work investigates a hypersonic turbulent boundary layer over a 7°" role="presentation">7°7° 7 ° half angle cone at a wall-to-total temperature ratio of 0.1, M∞=7.4" role="presentation">??8=7.4M8=7.4 M 8 = 7.4 and Re∞m=4.2×106" role="presentation">????8??=4.2×106Re8m=4.2×106 R e 8 m = 4.2 × 10 6 m−1" role="presentation">-1-1 - 1 , in terms of density fluctuations and the convection velocity of density disturbances. Experimental shock tunnel data are collected using a multi-foci Focused Laser Differential Interferometer (FLDI) to probe the boundary layer at several heights. In addition, a high-fidelity, time-resolved Large-Eddy Simulation (LES) of the conical flowfield under the experimentally observed free stream conditions is conducted. The experimentally measured convection velocity of density disturbances is found to follow literature data of pressure disturbances. The spectral distributions evidence the presence of regions with well-defined power laws that are present in pressure spectra. A framework to combine numerical and experimental observations without requiring complex FLDI post-processing strategies is explored using a computational FLDI (cFLDI) on the numerical solution for direct comparisons. Frequency bounds of 160 kHz <f<1" role="presentation">

 Artículos similares

       
 
Mingxin Zou, Yanqing Zhou, Xinhua Jiang, Julin Gao, Xiaofang Yu and Xuelei Ma    
Field manual labor behavior recognition is an important task that applies deep learning algorithms to industrial equipment for capturing and analyzing people?s behavior during field labor. In this study, we propose a field manual labor behavior recogniti... ver más
Revista: Applied Sciences

 
Feng Tian, Mengjiao Wang and Xiaopei Liu    
Aiming at solving the problems of local halo blurring, insufficient edge detail preservation, and serious noise in traditional image enhancement algorithms, an improved Retinex algorithm for low-light mine image enhancement is proposed. Firstly, in HSV c... ver más
Revista: Applied Sciences

 
Wenhao Sun, Yidong Zou, Yunhe Wang, Boyi Xiao, Haichuan Zhang and Zhihuai Xiao    
In the practical production environment, the complexity and variability of hydroelectric units often result in a need for more fault data, leading to inadequate accuracy in fault identification for data-driven intelligent diagnostic models. To address th... ver más
Revista: Water

 
Yi Zhang, Hengchao Zhao, Zheng Zhang and Hongbo Wang    
Addressing the automatic berthing task for vessels, this study introduces the Flow Matching Double Section Bezier Berth Method (FM-DSB) for handling downstream and upstream berthing instructions. By considering the orientation relationship between the di... ver más

 
Majdi Sukkar, Madhu Shukla, Dinesh Kumar, Vassilis C. Gerogiannis, Andreas Kanavos and Biswaranjan Acharya    
Effective collision risk reduction in autonomous vehicles relies on robust and straightforward pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly impede the reliability of pedestrian tracking. In the current study, w... ver más
Revista: Information