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العنوان
Design and Analysis of the Friction Stir Welding /
المؤلف
Mahmoud, Ibraheem Sabry Ibraheem.
هيئة الاعداد
باحث / ابراهيم صبري ابراهيم محمود
مشرف / احمد محمد القصاص
مناقش / توفيق توفيق الميداني
مناقش / احمد محمد احمد العسال
الموضوع
Production Engineering and Mechanical Design.
تاريخ النشر
2017.
عدد الصفحات
p 171. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الهندسة
تاريخ الإجازة
14/11/2017
مكان الإجازة
جامعة طنطا - كلية الهندسه - Production Engineering and Mechanical Design
الفهرس
Only 14 pages are availabe for public view

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from 206

Abstract

Aluminum can’t successfully be arc welded in an air environment, due to the affinity for oxygen. If fusion welded in normal atmosphere oxidizes ation readily happens causes slag inclusion and porosity in the weld, greatly reducing its mechanical properties. To overcome these problems one of the most common ways of aluminum welding is friction stir welding. To work in this area needs to do a tremendous amount of experience and this thesis has provided general specification of the process of friction stir welding pipes using three methods regression analysis (RA),Response Surface Methodology(RSM) and Artificial Neural Networks (ANN) to infer the mechanical properties has this Specification so for the thickness of 2 to 4 mm, depending on the rotational speed from 485 to 1800 RPM travel speed from 4 to 10 (mm/min) and then calculate costs for each thickness of the weld through the elements considered labor cost, power cost, machine cost, and tool cost this parameter which take into consideration for estimation the total cost of each thickness in friction stir welding of pipes. A comparative study between pipes fusion welding( metal inert gas ,tungsten inert gas) and pipes solid state welding ( friction stir welding) are constructed depending on the mechanical properties and cost estimation. The result acquired through model suggestion (RA) , (RSM) and (ANN) has proven to be successful in terms of the agreement with experimental results ratio respectively 94.6% , 90%, and 96.5%.Also, the cost suggestion model approved successfully.