Knowledge-Assisted Visualization of Turbulent Combustion Simulations

نویسندگان

  • Chaoli Wang
  • Hongfeng Yu
  • Kwan-Liu Ma
چکیده

In this paper, we present a knowledge-assisted approach for studying turbulent combustion simulation data. To understand the dynamic mechanisms of extinction and reignition in turbulent flames, scientists need to validate known relationships and reveal hidden ones among multiple variables. Based on the domain knowledge and questions posted by the scientists, we have designed an algorithm that helps scientists examine complex variable relationships in turbulent combustion simulations.

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تاریخ انتشار 2008