
Information preservation method for micro-scale flow with temperature variation
Author(s) -
Xiao Xue,
Zhaohui Yao,
Feng He
Publication year - 2006
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.55.1276
Subject(s) - divergence (linguistics) , variation (astronomy) , flow (mathematics) , scale (ratio) , mechanics , statistical physics , density gradient , simple (philosophy) , conservation of mass , temperature gradient , computer science , physics , meteorology , astrophysics , philosophy , linguistics , epistemology , quantum mechanics
Based on the information preservation(IP) method, a simple effective temperature model is presented. The IP method with new temperature model can simulate the flow which has temperature variation. Moreover, studies show that when the local density gradient of the simulated flow is large, it will cause numerical divergence if the second order central difference scheme of the mass conservation equation is used to update the information density. So the first order upwind scheme is recommended to update the information density for the flow with large density gradient.