Prediction of surface roughness and material removal rate in electrochemical machining using Taguchi method
Other Title(s)
التنبؤ بالخشونة السطحية و معدل إزالة المادة في تشغيل الكهروكيميائي باستخدام طريقة تاكوجي
Author
Source
al-Khwarizmi Engineering Journal
Issue
Vol. 12, Issue 4 (31 Dec. 2016), pp.72-80, 9 p.
Publisher
University of Baghdad al-Khwarizmi College of Engineering
Publication Date
2016-12-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Topics
Abstract EN
Electrochemical machining is one of the widely used non-conventional machining processes to machine complex and difficult shapes for electrically conducting materials, such as super alloys, Ti-alloys, alloy steel, tool steel and stainless steel.
Use of optimal ECM process conditions can significantly reduce the ECM operating, tooling, and maintenance cost and can produce components with higher accuracy.
This paper studies the effect of process parameters on surface roughness (Ra) and material removal rate (MRR), and the optimization of process conditions in ECM.
Experiments were conducted based on Taguchi’s L9 orthogonal array (OA) with three process parameters viz.
current, electrolyte concentration, and inter-electrode gap.
Signal-to-noise (S/N), the analysis of variance (ANOVA) was employed to find the optimal levels and to analyze the effect of electrochemical machining parameters on Ra and MRR.
The surface roughness of the workpiece was decreased with the increase in current values and electrolyte concentration while causing an increase in material removal rate.
The ability of the independent values to predict the dependent values (R2) were 87.5% and 96.3% for mean surface roughness and material removal rate, respectively.
American Psychological Association (APA)
Ibrahim, Abbas Fadil. 2016. Prediction of surface roughness and material removal rate in electrochemical machining using Taguchi method. al-Khwarizmi Engineering Journal،Vol. 12, no. 4, pp.72-80.
https://search.emarefa.net/detail/BIM-737413
Modern Language Association (MLA)
Ibrahim, Abbas Fadil. Prediction of surface roughness and material removal rate in electrochemical machining using Taguchi method. al-Khwarizmi Engineering Journal Vol. 12, no. 4 (2016), pp.72-80.
https://search.emarefa.net/detail/BIM-737413
American Medical Association (AMA)
Ibrahim, Abbas Fadil. Prediction of surface roughness and material removal rate in electrochemical machining using Taguchi method. al-Khwarizmi Engineering Journal. 2016. Vol. 12, no. 4, pp.72-80.
https://search.emarefa.net/detail/BIM-737413
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 78-79
Record ID
BIM-737413