پديد آورنده :
فروزان، فرنوش
عنوان :
پيش بيني شرايط بهينه عمليات ترموديناميكي پيشرفته جهت توليد فولادهاي زنگ نزن آستنيتي نيمه پايدار نانو ساختار به روش هوش مصنوعي
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
شناسايي و انتخاب مواد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده مواد
صفحه شمار :
ده،108ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
احمد كرمانپور،عباس نجفي زاده
توصيفگر ها :
شبكه هاي عصبي
تاريخ نمايه سازي :
24/7/89
استاد داور :
احمد ساعتچي،محمدرضا فروزان
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Prediction of Optimum Conditions of Advanced Thermo Mechanical Treatment for the Production of Nanostructured Metastable Austenitic Stainless Steels Using Artificial Intelligence Farnoosh Forouzan f forouzan@ma iut ac ir Date of Submission 2010 4 5 Department of Materials Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Ahmad Kermanpur ahmad k@cc iut ac ir Abbas Najafizadeh a najafi@cc iut ac ir Abstract Austenitic stainless steels are promising engineering materials demonstrating good corrosion resistance and good formability but they have also relative low yield strength Among the different strengthening mechanisms grain refinement is the only method to improve both strength and toughness simultaneously Metastable austenitic stainless steels undergo a strain induced martensitic transformation where the metastable austenite phase is transformed to the thermodynamically more stable martensite phase due to the plastic deformation The cold reductions at 15 C and 20 C of 10 90 were carried out with inter pass cooling on AISI 304L stainless steel In order to obtain homogeneous austenitic microstructures 90 deformed samples were annealed at different temperatures 700 C 900 C and times 5 second 8 hour Mechanical testing was performed by means of Vickers Hardness The experimental measurements using Ferritescopy X ray diffraction scanning electron microscopy and optical metallography were performed This thesis concentrated on the effects of the strain induced martensitic transformation and also the effects of annealing time and temperature on the reversion of austenite to martensite in order to grain refinement producing nano submicron austenitic structure These results were used for simulation with artificial neural networks and through this attempt 6 different networks for prediction of structure and mechanical properties designed The resulting diagrams can be used as a guide maps to help finding appropriate heat treatment considering the structure phases grain sizes and mechanical properties Key Words Artificial Neural Networks Thermo mechanical Treatment Hardness Grain Size
استاد راهنما :
احمد كرمانپور،عباس نجفي زاده
استاد داور :
احمد ساعتچي،محمدرضا فروزان
