شماره مدرك :
7267
شماره راهنما :
6773
پديد آورنده :
كارخانه يوسفي، علي اكبر
عنوان :

مدل سازي، تحليل ديناميكي و بهينه سازي مخزن سوخت لكوموتيو ER24

مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
مكانيك
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده مكانيك
سال دفاع :
1391
صفحه شمار :
سيزده، 91ص: مصور، جدول، نمودار
يادداشت :
ص.ع. به فارسي و انگليسي
استاد راهنما :
مسعود شريعت پناهي
استاد مشاور :
محسن اصفهانيان
توصيفگر ها :
ضخامت جاذب , تلاطم , تحليل اجزاء محدود , شبكه هاي عصبي
تاريخ نمايه سازي :
21/8/91
استاد داور :
محمدرضا فروزان، محمود كدخدايي
تاريخ ورود اطلاعات :
1396/09/21
كتابنامه :
كتابنامه
رشته تحصيلي :
مكانيك
دانشكده :
مهندسي مكانيك
كد ايرانداك :
ID6773
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتال
چكيده انگليسي :
Modeling Dynamic Analysis and Optimization of Fuel Tank of Locomotive ER 24 Aliakbar Karkhaneh Yousefi a karkhanehyousefi@me iut ac ir Date of Submission 16 September 2012 Department of Mechanical Engineering Isfahan University of Technology Isfahan 84156 83111 IranDegree M Sc Language FarsiSupervised by Hassan Nahvi Masoud Shariatpanahihnahvi@cc iut ac irmshariatp@ut ac irAbstract Fluid storage tank structures have been of interest for a long time because these have unique characteristicsdue to the interaction between fluid and structure This interaction which causes the sloshing can be a severeproblem in vehicle stability and control In this thesis the conventional methods for analysis of the partially filledfuel tanks have been enumerated and then the fuel tank of the locomotive ER 24 has been considered as a realanalyses model Stress analysis has been done based on both the Computational Fluid Dynamics CFD and structural models In the structural modeling the fuel tank was assumed to be fully filled with fuel and therefore the greatest forceswill be generated Then the fuel tank has been modeled and analyzed using finite element method under suggestedloading conditions by the DIN EN 12663 standard in railway applications and real boundary conditions In sixdifferent loading conditions high stressed areas have been identified Also in the CFD modeling it is consideredthat the locomotive had been moving in a certain speed and suddenly stopped at a constant acceleration Next thebehavior of the fuel and air during the braking time were investigated by using a two phase model The distributionof the pressure on the surface of baffles caused by sloshing was extracted Finally by comparing the distribution ofpressure caused by sloshing phenomena and suggested standard loading conditions optimal design of the fuel tankwas taken into consideration After identifying the critical areas of the stress distribution optimization of the primary design of the fueltank has been studied The objective function was assumed as the mass and manufacturing cost of the fuel tank Themanufacturing cost consists of the cost of welding cutting and bending in the process of manufacturing of thebaffles The geometric properties of the baffles including the thickness angle of bent radius of the circular holesand the number of transversal baffles were considered as the design parameters This multi objective optimizationproblem was solved by employing Non dominated Sorting Genetic Algorithm NSGA II and Artificial NeuralNetworks ANNs Two Multi Layer Perceptron MLP networks were used to approximate mass and maximumVon Mises equivalent stress that later have been used in the optimization process Each network has one hiddenlayer with 6 neurons and a single neuron in its output layer The networks were trained using 44 data sets generatedusing a normally distributed set of input vectors across the design space It has been shown that the optimized fueltank not only provides the safety conditions but also compare with the primary design the mass and manufacturingcost are reduced by 39 and 73 respectively Keywords Optimal design Multi Objective Optimization Sloshing Artificial Neural Networks FuelTanks Baffles
استاد راهنما :
مسعود شريعت پناهي
استاد مشاور :
محسن اصفهانيان
استاد داور :
محمدرضا فروزان، محمود كدخدايي
لينک به اين مدرک :

بازگشت