نتایج جستجو برای: two phase mixture model

تعداد نتایج: 4516936  

Journal: :مکانیک سیالات و آیرودینامیک 0
حامد میرزابه مهرداد بزاززاده اسماعیل ولی¬زاده محمدجواد منتظری

the manner of spray the fuel has an important effect on stability and convenient mixture of fuel and oxidizer. swirl injectors because of formation of uniform spray cone and proper distribution of the fuel have been used in many rocket engines at aerospace industries. formation and development of air core in the interior stream of swirl injectors and simulation of them is complicated. double ba...

Journal: :Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2006
Kimberly D Siegmund A Joan Levine Jing Chang Peter W Laird

We extend the finite mixture model to estimate the association between exposure and latent disease subtype measured by DNA methylation profiles. Estimates from this model are compared with those obtained from the simpler two-phase approach of first clustering the DNA methylation data followed by associating exposure with disease subtype using logistic regression. The two models are fit to data ...

A. Behzadmehr, O. Ghaffari

Turbulent mixed convection of a nanofluid (water/Al2O3, Φ=.02) has been studied numerically. Two-phase mixture model has been used to investigate the effects of nanoparticles mean diameter on the flow parameters. Nanoparticles distribution at the tube cross section shows that the particles are uniformly dispersed. The non-uniformity of the particles distribution occurs in the case of large nano...

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2010
wang liyong han yuanyuan ding shiwen

ticl4, ammonia, inorganic salts as raw material, nanometer composite-crystal tio2 powders were synthesized by two-step chemical method. precursors were crystallized with different phase and stable composite-crystal tio2 with anatase and rutile phase was prepared at low temperature. quantitative control of crystal phase was realized. remarkable factors including reaction ph value, reaction time,...

A. Abbassi H. Safikhani S. Ghanami

In the present study, Computational Fluid Dynamics (CFD) techniques and Artificial Neural Networks (ANN) are used to predict the pressure drop value (Δp ) of Al2O3-water nanofluid in flat tubes. Δp  is predicted taking into account five input variables: tube flattening (H), inlet volumetric flow rate (Qi  ), wall heat flux (qnw  ), nanoparticle volume fraction (Φ) and nanoparticle diameter (dp ...

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