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العنوان
Improvement of Electrical Discharge Wire Cutting
Characteristics by using Nano-Grains Coated Wire /
المؤلف
Hewidy, Ahmed Mahmoud.
هيئة الاعداد
باحث / أحمد محمود هويدى
مشرف / عادل محمود عبد المعبود
مشرف / بدر محمد عبدالبارى
الموضوع
Pavements - Performance. Neural networks (Computer science)
تاريخ النشر
2018.
عدد الصفحات
130 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الهندسة الميكانيكية
الناشر
تاريخ الإجازة
26/6/2011
مكان الإجازة
جامعة المنوفية - كلية الهندسة - هندسة الإنتاج و التصميم الميكانيكى
الفهرس
Only 14 pages are availabe for public view

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Abstract

wire electrical discharge machining (WEDM) process is one of the latest
non-traditional machining processes, based on thermoelectric energy between the
workpiece and wire. Usually, the performance of the process, to a large extent,
depends on the workpiece material and machining process parameters. Little
attention has been made on the wire selection.
However, wire selection is also partially responsible about the available
cutting speed, product surface quality and surface integraty .Suitable selection of
wire can reduce the cost of machining and enhances the performance of the
process. Wire is the single height expense in operating a wire EDM . Investing in
wire development according to the product’s demands will lead to cutting much
faster with a higher accuracy.
The present work suggests the using of nano-technology coating for brass
wire, as an attempt to overcome some problems which are usually associated with
the machining with WEDM. This technology has not been submitted before.
Experiments have been conducted in W-B30J.S C.N.C wire electrical discharge
machine. To make a fair judgment two different types of EDM-wires have been
used under the same working conditions.
Plain brass wire and nano-coated brass wire, both of them have
a diameter equals 0.25 mm are used in this investigation.
Feeding speed (Fs), duty factor (D), wire tension (T), wire speed (Ws) and
water pressure (P) were the main affecting parameters conceded in this work .
Metal removal rate (MRR), tool wear (TW) and surface roughness (SR) are the
main significant responses in this work.