Investigation of the Effect of Nano Powder Mixed Dielectric on EDM Process

In this paper, Artificial Neural Network was adopted to predict the effect of current, the concentration of aluminum oxide (Al2O3) and graphite Nanopowders in dielectric fluid for the machining of Carbon steel 304 using Electrical Discharge Machining (EDM). The process variables were utilized to fin...

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Main Author: Rasha R. Elias
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2020-03-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_168198_1bb7fa95d76df4c3a5bbf37bfdaba96c.pdf
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author Rasha R. Elias
author_facet Rasha R. Elias
author_sort Rasha R. Elias
collection DOAJ
description In this paper, Artificial Neural Network was adopted to predict the effect of current, the concentration of aluminum oxide (Al2O3) and graphite Nanopowders in dielectric fluid for the machining of Carbon steel 304 using Electrical Discharge Machining (EDM). The process variables were utilized to find their effect on Material Removal Rate (MRR), Surface Roughness (SR), and Tool Wear Rate (TWR). It was revealed from the experimental work that the addition of aluminum oxide and graphite Nanopowders into dielectric fluid maximizing MRR, minimized the SR and TWR at various variables. Minitab software was used in the design of experiments. Analysis of the process outputs of EDM indicates that graphite powder concentration greatly influencing SR also the discharge current whereas the current and Nanopowders concentration has more percentage of influence on the TWR and MRR.
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spelling doaj.art-9ec4a36347d5465bbfdfc63c1b99cfe02024-02-01T07:30:53ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582020-03-01383A29530710.30684/etj.v38i3A.337168198Investigation of the Effect of Nano Powder Mixed Dielectric on EDM ProcessRasha R. Elias0Dept. of Production Engineering and Metallurgy, University of Technology, Baghdad, Iraq. 70166@uotechnology.edu.iqIn this paper, Artificial Neural Network was adopted to predict the effect of current, the concentration of aluminum oxide (Al2O3) and graphite Nanopowders in dielectric fluid for the machining of Carbon steel 304 using Electrical Discharge Machining (EDM). The process variables were utilized to find their effect on Material Removal Rate (MRR), Surface Roughness (SR), and Tool Wear Rate (TWR). It was revealed from the experimental work that the addition of aluminum oxide and graphite Nanopowders into dielectric fluid maximizing MRR, minimized the SR and TWR at various variables. Minitab software was used in the design of experiments. Analysis of the process outputs of EDM indicates that graphite powder concentration greatly influencing SR also the discharge current whereas the current and Nanopowders concentration has more percentage of influence on the TWR and MRR.https://etj.uotechnology.edu.iq/article_168198_1bb7fa95d76df4c3a5bbf37bfdaba96c.pdfartificial neural networkelectrical discharge machiningmetal removal rateminitab softwarenano powder
spellingShingle Rasha R. Elias
Investigation of the Effect of Nano Powder Mixed Dielectric on EDM Process
Engineering and Technology Journal
artificial neural network
electrical discharge machining
metal removal rate
minitab software
nano powder
title Investigation of the Effect of Nano Powder Mixed Dielectric on EDM Process
title_full Investigation of the Effect of Nano Powder Mixed Dielectric on EDM Process
title_fullStr Investigation of the Effect of Nano Powder Mixed Dielectric on EDM Process
title_full_unstemmed Investigation of the Effect of Nano Powder Mixed Dielectric on EDM Process
title_short Investigation of the Effect of Nano Powder Mixed Dielectric on EDM Process
title_sort investigation of the effect of nano powder mixed dielectric on edm process
topic artificial neural network
electrical discharge machining
metal removal rate
minitab software
nano powder
url https://etj.uotechnology.edu.iq/article_168198_1bb7fa95d76df4c3a5bbf37bfdaba96c.pdf
work_keys_str_mv AT rasharelias investigationoftheeffectofnanopowdermixeddielectriconedmprocess