This chapter briefly reviews the first and second generations of vortex identification methods. The first generation of vortex identification methods is based on the concept of vorticity. The use of these methods will run into severe difficulties in viscous flows, especially in turbulent flows, since...
Review of Vortex Identification Methods 来自 掌桥科研 喜欢 0 阅读量: 212 作者:Epps,Brenden 摘要: This paper focuses on the experimental characterization of the vortices structure in the aft fuselage region and in the wake of a simplified geometry of a military transport aircraft. It comes within...
In order to reveal the complex vortex structures in the hydroturbines, a large amount of advanced methods for vortex identification and visualization have been developed and also are currently being intensively investigated by researchers. In this review, the vortex identification methods are reviewed ...
Table 1 focuses on the identification methods based on novel microfluidic-enhanced techniques, while Table 2 highlights separation methods that are either currently in use or potentially applicable for MP separation in the microfluidics community. Some of these techniques, although not yet at the ...
strongly quenched in solution but become bright upon binding to the docking strand (Fig.4D). All these methods can effectively reduce the background without affecting the imaging speed. Another strategy to accelerate imaging involves increasing the association rate among individual imaging chains. In ...
摘要:Based on an effective Hamiltonian specified in the triangular lattice with possible p_x +- ip_y- or d_(x~2-y~2) +- id_(xy)-wave pairing, which has close relevance to the newly discovered Na_(0.35)CoO_2·yH_2O, the electronic structure of the vortex state is studied by...
Various advanced vector measurement/sensing techniques, physical interpretation methods, and approaches to analyse biomedically relevant information have been developed and harnessed. In this review, we focus mainly on summarising methodologies and applications related to tissue polarimetry, with an emphasis ...
Recently, various machine learning methods, particularly deep neural networks (DNNs), have attracted more attention to solving problems in fiber lasers. For example, learning enables approximate models of the underlying physics or dynamic process for complex fiber laser systems in the form of a “...
Fig. 2. An overview of the main techniques and key applications of microassembly systems. 2. Fundamentals and Technologies Common strategies for generating power for actuation at the micro/nano-scale include magnetic, optical, acoustic fields, and mechanical methods. These strategies enable the manipul...
design principles and design methods. Design knowledge resources has become the most important intelligence and asset for enterprise innovation. The acquisition, processing, discovery and evolution of design knowledge using design big data, assisting and promoting the creative ideas of designers, is the ...