Mustafa Mubarak Semman

Prediction of defects in non-circular deep drawn parts using finite element analysis and response surface methodology / التنبؤ بعيوب عملية السحب العميق للأشكال الغير دائرية باستخدام طريقة العناصر المحددة وطريقة سطح الاستجابة Mustafa Mubarak Semman ; Supervised Abdalla S. Wifi , Mohamed H. Gadullah , Mostafa H. Shazly - Cairo : Mustafa Mubarak Semman , 2017 - 94 P. : charts , facsimiles ; 30cm

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Design and Production

Deep drawing defects such as thinning and earing present challenges to sheet metal forming industry while designers tend to favor the usage of new materials and production processes. the present work introduces an integrated approach using design of experiment approach, FEA experimentation and response surface methodology (RSM) to develop linear regression equation that is capable of predicting earing and thinning defects in deep drawing of non-circular parts (rectangular and elliptical) and determine the optimum process parameters which lead to minimum defects



Earing Finite element analysis Thinning