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

Ibrahim, Abbas Fadil

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

Materials Science , Minerals

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