Visual analysis of particle behaviors to understand combustion simulations

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

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

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 languageEnglish (US)
Article number6095486
Pages (from-to)22-33
Number of pages12
JournalIEEE Computer Graphics and Applications
Volume32
Issue number1
DOIs
StatePublished - Jan 2 2012

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Keywords

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

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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