Prediction of Surface Roughness and Material Removal Rate in Electrochemical Machining Using Taguchi Method

Abbas Fadhil Ibrahim

Article Details

Prediction of Surface Roughness and Material Removal Rate in Electrochemical Machining Using Taguchi Method

Authors:

Abbas Fadhil Ibrahim

Publisher:

University of Baghdad

Journal:

Al-Khwarizmi Engineering Journal Vol.12 Issue 4, pp.72-80

Document Type:

Article

Publication Date:

1/2016

Document Language:

English

Document ID (Org No.):

2001539352

pISSN:

2312-0789

Keywords:

Abstract:

 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.

Article Details

Prediction of Surface Roughness and Material Removal Rate in Electrochemical Machining Using Taguchi Method

Authors:

Abbas Fadhil Ibrahim

Publisher:

University of Baghdad

Journal:

Al-Khwarizmi Engineering Journal Vol.12 Issue 4, pp.72-80

Document Type:

Article

Publication Date:

1/2016

Document Language:

English

Document ID (Org No.):

2001539352

pISSN:

2312-0789

ECM

Carbon

MRR

Ra

Taguchi Method

Issues

Article Details

Prediction of Surface Roughness and Material Removal Rate in Electrochemical Machining Using Taguchi Method

Authors: Abbas Fadhil Ibrahim

Publisher: University of Baghdad

Journal: Al-Khwarizmi Engineering Journal Vol.12 Issue 4, pp.72-80

Document Type: Article

Publication Date: 1/2016

Document Language: English

Document ID (Org No.): 2001539352

pISSN: 2312-0789

ECM

Carbon

MRR

Ra

Taguchi Method

Issues

Authors:

Abbas Fadhil Ibrahim

Publisher:

University of Baghdad

Journal:

Al-Khwarizmi Engineering Journal Vol.12 Issue 4, pp.72-80

Document Type:

Article

Publication Date:

1/2016

Document Language:

English

Document ID (Org No.):

2001539352

pISSN:

2312-0789