Investigation of the effect of nano powder mixed dielectric on EDM process
Author
Source
Engineering and Technology Journal
Issue
Vol. 38, Issue 3A (31 Mar. 2020), pp.295-307, 13 p.
Publisher
Publication Date
2020-03-31
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
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.
American Psychological Association (APA)
Ilyas, Rasha Ramiz. 2020. Investigation of the effect of nano powder mixed dielectric on EDM process. Engineering and Technology Journal،Vol. 38, no. 3A, pp.295-307.
https://search.emarefa.net/detail/BIM-948632
Modern Language Association (MLA)
Ilyas, Rasha Ramiz. Investigation of the effect of nano powder mixed dielectric on EDM process. Engineering and Technology Journal Vol. 38, no. 3A (2020), pp.295-307.
https://search.emarefa.net/detail/BIM-948632
American Medical Association (AMA)
Ilyas, Rasha Ramiz. Investigation of the effect of nano powder mixed dielectric on EDM process. Engineering and Technology Journal. 2020. Vol. 38, no. 3A, pp.295-307.
https://search.emarefa.net/detail/BIM-948632
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 306-307
Record ID
BIM-948632