Visual Analysis of Particle Behaviors to Understand Combustion Simulations

Jishang Wei, Hongfeng Yu, Ray Grout, Jacqueline Chen, Kwan Liu Ma

Research output: Contribution to journalArticlepeer-review

13 Scopus Citations


Simulations of turbulent flames have used particles to capture the dynamic behavior of combustion in next-generation engines. Each particle includes a history of its movement positions and changing thermochemical states. Analyzing such a set of many millions of particles helps scientists understand turbulence. A dual-space method enables effective visual analysis of both the spatial movement and attribute evolution of particles. A cluster-label-classify strategy categorizes particles' attribute evolution curves. Intuitive tools integrate users' domain knowledge to steer the classification. The dual-space method has been used to analyze particle data in combustion simulations and can be applied to other scientific simulations involving particle-data analysis. This video shows an expository movie that combustion scientists have used when discussing their simulation results with colleagues. This simulation employs visual analysis in both the physical space and phase space, with categorization driven by supervised learning.

Original languageAmerican English
Article number6095486
Pages (from-to)22-33
Number of pages12
JournalIEEE Computer Graphics and Applications
Issue number1
StatePublished - 2012

NREL Publication Number

  • NREL/JA-2C00-53948


  • artificial intelligence
  • computer graphics
  • graphics and multimedia
  • machine learning
  • modeling
  • simulation
  • visualization


Dive into the research topics of 'Visual Analysis of Particle Behaviors to Understand Combustion Simulations'. Together they form a unique fingerprint.

Cite this