پديد آورنده :
عشقي نژاد، امير
عنوان :
استفاده از شبكه هاي عصبي مصنوعي در مدل سازي شعله هاي غير پيش مخلوط مغشوش به كمك روش فليملت آرام
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
تبديل انرژي
محل تحصيل :
اصفهان : دانشگاه صنعتي اصفهان، دانشكده مكانيك
صفحه شمار :
هفده، 133، [II] ص.: جدول، نمودار
يادداشت :
ص. ع. به: فارسي و انگليسي
استاد راهنما :
محسن دوازده امامي
استاد مشاور :
احمد صابونچي
توصيفگر ها :
جريانهاي احتراقي , تشعشع حرارتي
تاريخ نمايه سازي :
23/7/1387
استاد داور :
كيومرث مظاهري، محمود شرفي زاده
تاريخ ورود اطلاعات :
1396/07/02
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتال
چكيده انگليسي :
AbstractThe laminar flamelet concept for prediction of temperature and species mass fraction innon premixed turbulent flames using appropriate kinetic mechanism transport andthermodynamic properties has been investigated In a first step temperature and speciesconcentrations for a flame have been calculated from the solutions of counterflow diffusionflames considering differential diffusion effects and related to mixture fraction and scalardissipation rate which accounts for flow field effect on flamelets structure In a second stepnumerical integration is accomplished for different values of mean mixture fraction itsvariance and dissipation rate to obtain favre averaged values of species concentration andtemperature and flamelet library is created Finally two Multi Layer Perceptron MLP networks are built over this library and trained by means of Error Back Propagation EBP algorithm where mean and variance of mixture fraction and dissipation rate are inputs andspecies mean mass fraction and temperature are outputs of these two networks The ANNweights and biases are applied to a CFD flow solver code and results are compared withexperimental and other numerical methods ANN yields accurate and acceptable resultswhich are calculated much faster in comparison to when averaging is implemented in aCFD code Species mass fraction and temperature predicted by flamelet model arequalitatively identical to those of experimental measurements but some discrepancies areobserved which can be described by non unity Lewis number assumption Unity Lewisnumber calculations are in better agreement with experimental ones specially for CO2 massfraction and at higher axial positions
استاد راهنما :
محسن دوازده امامي
استاد مشاور :
احمد صابونچي
استاد داور :
كيومرث مظاهري، محمود شرفي زاده
