پديد آورنده :
حداد، محمدجعفر
عنوان :
تجزيه و تحليل آماري بر روي نتايج حاصله از فرآيند تراشكاري استوانه اي توسط دستگاه وايركات
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
ساخت و توليد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده مكانيك
صفحه شمار :
يازده، 178، [II]ص.: مصور ، جدول، نمودار
يادداشت :
ص. ع. به فارسي و انگليسي
استاد راهنما :
عليرضا فدايي تهراني
توصيفگر ها :
تخليه الكتريكي سيمي , آزمايش فاكتوريل كامل، كسري , فولاد هاي ابزار , دستگاه ONAR250
استاد داور :
محمدرضا فروزان، علي همداني
تاريخ ورود اطلاعات :
1396/02/23
چكيده فارسي :
به فارسي و انگليسي : قابل رويت در نسخه ديجيتال
چكيده انگليسي :
AbstractThe cylindrical Wire Electrical Discharge Turning cylindrical WEDT process wasdeveloped to generate precise cylindrical forms on hard difficult to machine materials Aprecise flexible and corrosion resistance submerged rotary spindle was designed andadded to a conventional five axis wire EDM machine to enable the generation of free formcylindrical geometries The hardness and strength of the work material are no longer thedominating factors that affect the tool wear and hinder the machining process In this study the effects and optimization of machining parameters on material removalrate MRR roughness Ra and roundness in cylindrical WEDT are investigated MRR Ra and roundness were chosen as the machining parameters to verify the process Inaddition power voltage time off and spindle rotational speed were adopted for evaluationby full factorial design of experiments DOE and Taguchi approach in DOE Allexperiments are conducted on ONA R250 wire EDM machine for machining the AISI D3tool steel workpieces The level of important of machining parameters on the MRR Ra androundness is determined by using analysis of variance ANOVA The variation of MRR Ra and roundness with machining parameters are mathematically modeled by usingregression analysis method for two methods of DOE Finally surfaces of the cylindricalWEDT parts were examined using Scanning Electron Microscopy SEM to identify themicro ridges and craters on the surface It can be seen from the results that the importantstrength of factorial DOE is the potential to build models and to gradually increase thecomplexity of the models if this is needed In addition a good combination betweenfactorial DOE and Taguchi method is the use of factorial design but with an emphasis onrobustness performing repetitions and various levels of noise factors as proposed byTaguchi In order to determine prediction model one can first use Taguchi methods todetermine a working space with high robustness and then use factorial designs to generatea model of high stability
استاد راهنما :
عليرضا فدايي تهراني
استاد داور :
محمدرضا فروزان، علي همداني
