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Prediction of defects in non-circular deep drawn parts using finite element analysis and response surface methodology / Mustafa Mubarak Semman ; Supervised Abdalla S. Wifi , Mohamed H. Gadullah , Mostafa H. Shazly

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mustafa Mubarak Semman , 2017Description: 94 P. : charts , facsimiles ; 30cmOther title:
  • التنبؤ بعيوب عملية السحب العميق للأشكال الغير دائرية باستخدام طريقة العناصر المحددة وطريقة سطح الاستجابة [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Design and Production Summary: 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
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.13.M.Sc.2017.Mu.P (Browse shelf(Opens below)) Not for loan 01010110073338000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.13.M.Sc.2017.Mu.P (Browse shelf(Opens below)) 73338.CD Not for loan 01020110073338000

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

Issued also as CD

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