Optimal selective assembly tolerance allocation using genetic algorithm technique / Ahmed Samy Yousef Saed ; Supervised Mohamed Kamal Bedewy , Tarek Abdelsadek Osman , Ashraf Osama Nassef

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Ahmed Samy Yousef Saed

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TextLanguage: eng Publication details: Cairo : Ahmed Samy Yousef Saed , 2009Description: 134P. : charts , facsimiles ; 30cmOther title:

الانتقاء الامثل لتجاوزات الاجزاء فى المجموعات الميكانيكية باستخدام طريقة الخواريزم الجينى [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: Proper allocation of dimensional and geometrical tolerances on the components of a mechanical assembly can positively affect the resulting manufacturing cost and the performance quality level . This work aims to demonstrate applying both Monte Carlo Simulation (MCS) method and the Genetic Algorithm technique (GA) in order to find out an optimal allocation of tolerance for assembled mechanical components

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Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.13.M.Sc.2009.Ah.O (Browse shelf(Opens below))		Not for loan		01010110051916000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.13.M.Sc.2009.Ah.O (Browse shelf(Opens below))	51916.CD	Not for loan		01020110051916000

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

Proper allocation of dimensional and geometrical tolerances on the components of a mechanical assembly can positively affect the resulting manufacturing cost and the performance quality level . This work aims to demonstrate applying both Monte Carlo Simulation (MCS) method and the Genetic Algorithm technique (GA) in order to find out an optimal allocation of tolerance for assembled mechanical components

Issued also as CD

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