On‐The‐Fly Tracking of Flame Surfaces for the Visual Analysis of Combustion Processes

The visual analysis of combustion processes is one of the challenges of modern flow visualization. In turbulent combustion research, the behaviour of the flame surface contains important information about the interactions between turbulence and chemistry. The extraction and tracking of this surface...

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Veröffentlicht in:	Computer graphics forum Jg. 37; H. 6; S. 358 - 369
Hauptverfasser:	Oster, T., Abdelsamie, A., Motejat, M., Gerrits, T., Rössl, C., Thévenin, D., Theisel, H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.09.2018
Schlagworte:	Computational fluid dynamics Computer simulation Deformation mechanisms Flow visualization Ground truth hardware Human‐centered computing → Scientific visualization; •Computing methodologies → Massively parallel algorithms implicit surfaces modelling Numerical stability Organic chemistry parallel computing scientific visualization Tracking Turbulence Turbulent combustion Turbulent flow Visual flight visualization
ISSN:	0167-7055, 1467-8659
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Abstract	The visual analysis of combustion processes is one of the challenges of modern flow visualization. In turbulent combustion research, the behaviour of the flame surface contains important information about the interactions between turbulence and chemistry. The extraction and tracking of this surface is crucial for understanding combustion processes. This is impossible to realize as a post‐process because of the size of the involved datasets, which are too large to be stored on disk. We present an on‐the‐fly method for tracking the flame surface directly during simulation and computing the local tangential surface deformation for arbitrary time intervals. In a massively parallel simulation, the data are distributed over many processes and only a single time step is in memory at any time. To satisfy the demands on parallelism and accuracy posed by this situation, we track the surface with independent micro‐patches and adapt their distribution as needed to maintain numerical stability. With our method, we enable combustion researchers to observe the detailed movement and deformation of the flame surface over extended periods of time and thus gain novel insights into the mechanisms of turbulence–chemistry interactions. We validate our method on analytic ground truth data and show its applicability on two real‐world simulations. The visual analysis of combustion processes is one of the challenges of modern flow visualization. processes is one of the challenges of modern flow visualization. In turbulent combustion research, the behaviour of the flame surface contains important information about the interactions between turbulence and chemistry. The extraction and tracking of this surface is crucial for understanding combustion processes. This is impossible to realize as a post‐process because of the size of the involved datasets, which are too large to be stored on disk. We present an on‐the‐fly method for tracking the flame surface directly during simulation and computing the local tangential surface deformation for arbitrary time intervals. In a massively parallel simulation, the data are distributed over many processes and only a single time step is in memory at any time. To satisfy the demands on parallelism and accuracy posed by this situation, we track the surface with independent micro‐patches and adapt their distribution as needed to maintain numerical stability.
AbstractList	The visual analysis of combustion processes is one of the challenges of modern flow visualization. In turbulent combustion research, the behaviour of the flame surface contains important information about the interactions between turbulence and chemistry. The extraction and tracking of this surface is crucial for understanding combustion processes. This is impossible to realize as a post‐process because of the size of the involved datasets, which are too large to be stored on disk. We present an on‐the‐fly method for tracking the flame surface directly during simulation and computing the local tangential surface deformation for arbitrary time intervals. In a massively parallel simulation, the data are distributed over many processes and only a single time step is in memory at any time. To satisfy the demands on parallelism and accuracy posed by this situation, we track the surface with independent micro‐patches and adapt their distribution as needed to maintain numerical stability. With our method, we enable combustion researchers to observe the detailed movement and deformation of the flame surface over extended periods of time and thus gain novel insights into the mechanisms of turbulence–chemistry interactions. We validate our method on analytic ground truth data and show its applicability on two real‐world simulations. The visual analysis of combustion processes is one of the challenges of modern flow visualization. processes is one of the challenges of modern flow visualization. In turbulent combustion research, the behaviour of the flame surface contains important information about the interactions between turbulence and chemistry. The extraction and tracking of this surface is crucial for understanding combustion processes. This is impossible to realize as a post‐process because of the size of the involved datasets, which are too large to be stored on disk. We present an on‐the‐fly method for tracking the flame surface directly during simulation and computing the local tangential surface deformation for arbitrary time intervals. In a massively parallel simulation, the data are distributed over many processes and only a single time step is in memory at any time. To satisfy the demands on parallelism and accuracy posed by this situation, we track the surface with independent micro‐patches and adapt their distribution as needed to maintain numerical stability. The visual analysis of combustion processes is one of the challenges of modern flow visualization. In turbulent combustion research, the behaviour of the flame surface contains important information about the interactions between turbulence and chemistry. The extraction and tracking of this surface is crucial for understanding combustion processes. This is impossible to realize as a post‐process because of the size of the involved datasets, which are too large to be stored on disk. We present an on‐the‐fly method for tracking the flame surface directly during simulation and computing the local tangential surface deformation for arbitrary time intervals. In a massively parallel simulation, the data are distributed over many processes and only a single time step is in memory at any time. To satisfy the demands on parallelism and accuracy posed by this situation, we track the surface with independent micro‐patches and adapt their distribution as needed to maintain numerical stability. With our method, we enable combustion researchers to observe the detailed movement and deformation of the flame surface over extended periods of time and thus gain novel insights into the mechanisms of turbulence–chemistry interactions. We validate our method on analytic ground truth data and show its applicability on two real‐world simulations.
Author	Motejat, M. Thévenin, D. Theisel, H. Oster, T. Gerrits, T. Abdelsamie, A. Rössl, C.
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Cites_doi	10.1016/j.compfluid.2016.03.017 10.1109/PACIFICVIS.2009.4906833 10.1109/VISUAL.2004.107 10.1016/j.combustflame.2016.07.011 10.1111/j.1467-8659.2008.01236.x 10.1088/1742-6596/180/1/012086 10.1109/MCSE.2007.42 10.1109/LDAV.2014.7013206 10.1109/LDAV.2012.6378974 10.1016/B978-012387582-2/50038-1 10.1109/PACIFICVIS.2015.7156371 10.1017/S0022112004001004 10.1063/1.1477449 10.1016/S0010-2180(98)00085-6
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Copyright	2018 The Authors Computer Graphics Forum © 2018 The Eurographics Association and John Wiley & Sons Ltd. 2018 The Eurographics Association and John Wiley & Sons Ltd.
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SubjectTerms	Computational fluid dynamics Computer simulation Deformation mechanisms Flow visualization Ground truth hardware Human‐centered computing → Scientific visualization; •Computing methodologies → Massively parallel algorithms implicit surfaces modelling Numerical stability Organic chemistry parallel computing scientific visualization Tracking Turbulence Turbulent combustion Turbulent flow Visual flight visualization
Title	On‐The‐Fly Tracking of Flame Surfaces for the Visual Analysis of Combustion Processes
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