On‐The‐Fly Tracking of Flame Surfaces for the Visual Analysis of Combustion Processes. (15th March 2018)
- Record Type:
- Journal Article
- Title:
- On‐The‐Fly Tracking of Flame Surfaces for the Visual Analysis of Combustion Processes. (15th March 2018)
- Main Title:
- On‐The‐Fly Tracking of Flame Surfaces for the Visual Analysis of Combustion Processes
- Authors:
- Oster, T.
Abdelsamie, A.
Motejat, M.
Gerrits, T.
Rössl, C.
Thévenin, D.
Theisel, H. - Abstract:
- 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. Abstract : The visual analysis of combustion processes is one of the challenges of modern flow visualization. processes is one of the challengesAbstract: 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. Abstract : 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. … (more)
- Is Part Of:
- Computer graphics forum. Volume 37:Number 6(2018)
- Journal:
- Computer graphics forum
- Issue:
- Volume 37:Number 6(2018)
- Issue Display:
- Volume 37, Issue 6 (2018)
- Year:
- 2018
- Volume:
- 37
- Issue:
- 6
- Issue Sort Value:
- 2018-0037-0006-0000
- Page Start:
- 358
- Page End:
- 369
- Publication Date:
- 2018-03-15
- Subjects:
- implicit surfaces -- modelling -- scientific visualization -- visualization -- parallel computing -- hardware -- Human‐centered computing → Scientific visualization; Computing methodologies → Massively parallel algorithms
Computer graphics -- Periodicals
006.605 - Journal URLs:
- http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.1982.tb00001.x/abstract ↗
http://onlinelibrary.wiley.com/ ↗
http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code=cgf ↗ - DOI:
- 10.1111/cgf.13331 ↗
- Languages:
- English
- ISSNs:
- 0167-7055
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3393.982000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 6903.xml