Paper Info
Title
Mass-dependent integral curves in unsteady vector fields
Abstract
Recent research in flow visualization is focusing on the analysis of time-dependent, but mass-less particles. However, in many application scenarios, the mass of particles -- and their resulting inertia -- is essential in understanding fluid mechanics. This includes critical processes, such as dust particles interacting with aircraft (e.g., brown- or white-out effects) and particle separation based on density variation. In this paper, we contribute a generalized description of mass-dependent particle trajectories and apply existing unsteady flow visualization methods to the mass-dependent case. This comprises the extension of common concepts, i.e., path lines, streak lines, and time lines. Furthermore, we introduce a new class of integral curves, called mass lines that effectively visualizes mass separation and captures mass-related features in unsteady flow fields that are inaccessible using traditional methods. We demonstrate the applicability of our method, using a number of real-world and artificial data sets, in which mass is a crucial parameter. In particular, we focus on the analysis of brown-out conditions, introduced by a helicopter in forward flight close to the ground.
Year
DOI
Venue
2013
10.1111/cgf.12108
Comput. Graph. Forum
Keywords
Field
DocType
particle separation,visualizes mass separation,mass-dependent integral curve,mass line,mass-less particle,unsteady vector field,unsteady flow field,mass-dependent particle trajectory,unsteady flow visualization method,mass-dependent case,flow visualization,application scenario
Computer vision,Data set,Computer science,Vector field,Flow (psychology),Streak,Fluid mechanics,Artificial intelligence,Inertia,Flow visualization,Particle
Journal
Volume
Issue
ISSN
32
3
0167-7055
Citations 
PageRank 
References 
11
0.62
12
Authors
4
Name
Order
Citations
PageRank
Tobias Günther112317.58
Alexander Kuhn2936.81
Benjamin Kutz3110.62
Holger Theisel4147999.18