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Article
SPRING BACK PREDICTION IN V-DIE BENDING PROCESS USING ARTIFICIAL NEURAL NETWORK (ANN)

Author: Mostafa Adel Abdullah
Journal: Al-Qadisiyah Journal for Engineering Sciences مجلة القادسية للعلوم الهندسية ISSN: 19984456 Year: 2017 Volume: 10 Issue: 2 Pages: 180-190
Publisher: Al-Qadisiyah University جامعة القادسية

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Abstract

The Bending process is the critical operation in the sheet forming, there are large parameters influence on operation. Spring back is considering large influential indication to specify the quality of product parts. The basic parameters which are takes to study in this paper are: speed of punch, time of hold and thickness of plate. Experiment use L16 array with four levels for every parameters using V-bending die with 900, with different thickness of (0.5,1,1.5,2) mm ,hold time (0,5,10,15) min and punch speed(10,20,50,100)mm/min, for (1050) Al –alloy having employed as the work pieces. Spring back value prediction use Artificial Neural Network with conventional configuration. The results show that the thickness of plate is the large influential parameter effect in spring back by 77.29%, then punch speed by 10.51% and hold time by 3.36%. The predict result using Artificial Neural Network shown a best accuracy with (99.35%) in spring back compared to the measured value.


Article
Computer Aided Flank Wear Measurement in End Milling Cutting Tool

Authors: Ali Abbar Khleif --- Mostafa Adel Abdullah
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2016 Volume: 34 Issue: 5 Part (A) Engineering Pages: 959-972
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Flank wear width is generally recognized as the key indicator for tool life.In the experiments of this study, nine tools made of HSS and stainless steel 316L as work piecewiththreespindlespeeds(550,930 and 1100)rpm and three redial depth of cut (1.5,2 and 2.25)mm were used. The cutting tool wear was measured using optical microscope and vision system based on a proposed algorithm.Maximum and minimum percentage errors in the flank wear width were (8.250% and 0.645 %) respectively. The numerical method used was by a multiple linear and polynomial regression model and developed a polynomial model, especially to predict the flank wear using MATLAB software.Maximum and minimum percentage errors werefound (14% and 0.322 %) respectively.


Article
Investigation of Material Removal Rate and Surface Roughness for AISI 1015 Steel Rack Gear in Wire EDM Process

Authors: Mostafa Adel Abdullah --- Safaa Kadhim Ghazi --- Mustafa Mohamed
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2016 Volume: 34 Issue: 12 Part (A) Engineering Pages: 2361-2370
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

In this work an investigation of the effects of various process parameters of Wire-EDM like Servo Feed (SF), pulse off-time (TOFF), pulse on-time (TON), as inputs impact on surface roughness (Ra) and metal removal rate (MRR) as outputs on steel (AISI 1015) utilizing nine specimens. With servo feed (500, 600 and 700)mm/min, pulse-of time (10,30,50) μsec, pulse on-time (20,25,30) μsec.The characteristics of cutting variables were determined by implementing Taguchi experimental design method. The importance level of the cutting variables for metal removal rate and surface roughnessis determined by implementing the analysis of variance (ANOVA).

Keywords

Taguchi --- ANOVA --- surface roughness --- MRR.


Article
Prediction of Surface Roughness and Material Removal Rate for 7024 AL-Alloy in EDM Process

Authors: Abbas Fadhil Ibrahim --- Mostafa Adel Abdullah --- Safaa Kadhim Ghazi
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2016 Volume: 34 Issue: 15 Part (A) Engineering Pages: 2796-2804
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

This paper studies prediction the values of MRR and surface roughness in Electrical discharge operations. It is a operation in which the material removal rate is machined with elevation spark in the midst work piece and electrode sunken through dielectric solution.Through use Taguchi found that the accuracy of the measured and prediction values that have been is 93% and 99% for each of the MRR and surface roughness respectively. The effect of different Electrical discharge machining factors are (Gap, pulse off time and pulse on time) to predict the (material removal rate) and (roughness). Note that connected pole that was used is copper. From (ANOVA) found that the large parameter effect on MRR is pulse-on 65% and pulse-off 25% while large parameter effect for surface roughness is pulse-on 96% . The least influential parameter for metal removal rate is the gap and the least influential parameter for surface roughness is pulse-off and Gap.

Keywords

EDM --- MRR --- Surface Roughness --- Prediction.


Article
Effect of Cutting Parameters on Wear and Surface Roughness of Stainless Steel (316L) Using Milling Process
تأثير ظروف القطع على البلى والخشونة السطحية للفولاذ المقاوم للصدا(316L) باستعمال عملية التفريز

Authors: Ali Abbar Khleif علي عبار خليف --- Mostafa Adel Abdullah مصطفى عادل عبد الله
Journal: AL-NAHRAIN JOURNAL FOR ENGINEERING SCIENCES مجلة النهرين للعلوم الهندسية ISSN: 25219154 / eISSN 25219162 Year: 2016 Volume: 19 Issue: 2 Pages: 286-292
Publisher: Al-Nahrain University جامعة النهرين

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Abstract

Flank wear width is generally recognized as the key indicator for tool life. In the milling process, several factors that influence on the wear of the tool) the material of workpice, the tool material, cutting conditions, the shape of a tool, machining time). In the experiments stainless steel 316L was used and cutting parameter with constant cutting tool type, cutting feed ,depth of cut and four spindle speeds(350,550,930 and 1100) rpm. The cutting tool wear was measured using optical microscope. The results showed an increase in cutting speed lead to decreases surface roughness (2.648,2.285,1.878 and 1.526) µm respectively with constant machine parameter and give indicating for tool wear which increase with the increase roughness of production surface.

عرض البلى الجانبي يعتبر كمؤشر رئيسي لمعيار عمر الاداة. في عملية التفريزهنالك عدة عوامل تؤثرفي بلى الاداة هي مادة العدة المشغلة,ظروف التشغيل ,شكل الاداة المستعملة وزمن التشغيل.الجانب العملي استعمل الفولاذ المقاوم للصدا 316L)) وظروف قطع من ادة قطع وتغذية وعمق ثابت ولكن استعمال اربع سرع دوران(550350, 930و1100) دورة بالدقيقة.ان البلى في عدة القطع تم قياسه باستعمال مجهر ضوئي والنتائج اظهرت ان زيادة سرع القطع تؤدي الى نقصان في خشونة السطح (1.526, 1.878,2.285,2.648)مايكرون بثبوت ظروف القطع (والتي تعطي مؤشر لبلى الاداة والذي يزداد بزيادة الخشونة للسطح المشغل) .


Article
Optimization of Surface Roughness for Al-alloy in Electro-chemical Machining (ECM) using Taguchi Method
امثلية الخشونة السطحية في التشغيل الكهروكيمياوي باستخدام طريقة تاكوشي

Authors: Safaa Kadhim Ghazi صفاء كاظم غازي --- Shukry Hammed Aghdeab شكري حميد غضيب --- Mostafa Adel Abdullah مصطفى عادل عبد الله
Journal: Journal of Engineering مجلة الهندسة ISSN: 17264073 25203339 Year: 2017 Volume: 23 Issue: 10 Pages: 62-71
Publisher: Baghdad University جامعة بغداد

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Abstract

Electro-chemical Machining is significant process to remove metal with using anodic dissolution. Electro-chemical machining use to removed metal workpiece from (7025) aluminum alloy using Potassium chloride (KCl) solution .The tool used was made from copper. In this present the optimize processes input parameter use are (current, gap and electrolyte concentration) and surface roughness (Ra) as output .The experiments on electro-chemical machining with use current (30, 50, 70) A, gap (1.00, 1.25, 1.50) mm and electrolyte concentration (100, 200, 300) (g/L). The method (ANOVA) was used to limit the large influence factors affected on surface roughness and found the current was the large influence factors with (72.17%). The results of the optimization of comparison of experimental and prediction conditions current at level-1(30 A), gap at level-1 (1.00mm) and electrolyte concentration at level-1(100(g/L)) shown the average experiments and prediction surface roughness (1.352) and (1.399) respectively.

التشغيل الكهروكيمياوي هي طريقة مؤثرة لإزالة المعادن باستخدام محلول انحلال . في هذا البحث التشغيل الكهروكيمياوي تستعمل لإزالة معدن المشغولة المكون من سبائك الألومنيوم (7025) باستخدام محلول من ملح (كلوريد البوتاسيوم) و أداة المستخدمة مصنوعه من النحاس. تم في هذه العملية تحديدالمتغيرات المدخلة باستعمال التيار، الفجوة وتركيز المحلول. وباستخدام أسلوب تاكوشي لتصميم وتحليل التجارب للحصول على الأمثل.وتكون خشونة السطح كمخرج لسبكة الألومنيوم نوع (7024). التجارب اجريت التشغيل الكهروكيمياوي باستعمال قيم تيار (30، 50، 70)امبير وهناك فجوة (1.00، 1.25، 1.50) ملم وتركيز المحلول (100، 200، 300) (غرام / لتر). تم استخدام أسلوب (أنوفا) لتحديد اي العوامل يكون كبير التأثير على خشونة السطح . وجد أن التيار كان اكبير العوامل تأثيرا بنسبة (72.17٪). نتائج الاستغلال الأمثل والمقارنة بين مستويات الظروف التجريبية باستعمال التيار المستوى الاول (30)امبير، الفجوة في المستوى الاول (1.00 (ملم وتركيز المحلول في المستوى الاول (100)(غرام/لتر) أظهر متوسط التجارب والتنبؤ للخشونة السطح هي (1.352) و (1.399) على التوالي.

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