پديد آورنده :
علي عزيزي اروميه، مهران
عنوان :
كاهش زمان چرخه طراحي هواپيما با استفاده از هوش مصنوعي
گرايش تحصيلي :
تبديل انرژي
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده مكانيك
صفحه شمار :
بيست،125ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
محمود اشرفي زاده، محمد باقر ملائك
استاد مشاور :
محمود طاهري
توصيفگر ها :
منطق فازي , شبكه عصبي , تصميم گيري , جت هاي تجاري , مافوق صوت
تاريخ نمايه سازي :
26/6/92
استاد داور :
محمد جعفر صديق، محمد دانش، اميرعلي اكبر خياط، مهدي مرتضويي
كد ايرانداك :
ID534 دكتري
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Aircraft design cycle time reduction using artificial intelligence Mehran Ali Azizi Oroumieh E mail address mehranali @yahoo com Date of Submission March Department of Mechanical Engineering Isfahan University of Technology Isfahan Iran st Supervisor Mahmud Ashrafizaadeh E mail address mahmud@cc iut ac ir st Supervisor S Mohammad Bagher Malaek E mail address malaek@sharif edu Advisor S Mahmoud Taheri Department Graduate Program Coordinator Dr Mohammad Reza Salimpour Abstract In this work we show how Artificial Intelligence AI could effectively be used to expedite the decision making process in the early stages of the aircraft design process We employ both Fuzzy Logic FL and Neural Network NN as two different schemes of the AI The developed tools are intended to help to select the proper combination of engine thrust wing area and the aircraft weight without going through elaborate details of other direct approaches We further show how the AI could be applied to the specific classes of supersonic and light business jets which serve to validate these schemes The results indicate the effectiveness of the AI approach in the preliminary aircraft design process The actual and approximated values for the take off wing loading and the take off thrust loading are in agreement within ten percent The developed design tools therefore prove to be effective to decrease aircraft design cycle time Keywords Aircraft design Design cycle time reduction Artificial intelligence Fuzzy logic Neural network Decision making Business jets Supersonic Assistant professor mechanical engineering depart Isfahan university of technology Isfahan Iran Professor aerospace engineering depart Sharif university of technology Tehran Iran Associate professor mathematics depart Isfahan university of technology Isfahan Iran PDF created with pdfFactory trial version www pdffactory com
استاد راهنما :
محمود اشرفي زاده، محمد باقر ملائك
استاد مشاور :
محمود طاهري
استاد داور :
محمد جعفر صديق، محمد دانش، اميرعلي اكبر خياط، مهدي مرتضويي
