Investigation theelectrode wear rate and metal removal rate in edm process using taguchi and ANOVA method

Author

Ghazi, Safa Kazim

Source

Engineering and Technology Journal

Issue

Vol. 38, Issue 10A (31 Oct. 2020), pp.1504-1510, 7 p.

Publisher

University of Technology

Publication Date

2020-10-31

Country of Publication

Iraq

No. of Pages

7

Main Subjects

Electronic engineering

Topics

Abstract EN

The experimental work of this paper leads to electrical discharge machining (EDM).

A system for machining in this process has been developed.

Many parameters are studied such as current, pulse on-time, pulse off time of the machine.

The main aim of this work is to calculate the metal removal rate (MRR) and electrode wear rate (EWR) using copper, electrodes when machining tool steel H13 specimens of a thickness (4mm).

Different current rates are used ranging from (30, 42, and 54) Amp, pulse on-time ranging from (75, 100, and 125) and pulse off time ranging from (25, 50, and 75) found that high current gives large electrode wear and metal removal rate and.

The experiment design was by Taguchi Method.

From an analysis of variance (ANOVA) the more active influence of input factors on the outputs is currently for metal removal rate (MRR) (58%) and electrode wear rate (EWR) (57).

American Psychological Association (APA)

Ghazi, Safa Kazim. 2020. Investigation theelectrode wear rate and metal removal rate in edm process using taguchi and ANOVA method. Engineering and Technology Journal،Vol. 38, no. 10A, pp.1504-1510.
https://search.emarefa.net/detail/BIM-1235576

Modern Language Association (MLA)

Ghazi, Safa Kazim. Investigation theelectrode wear rate and metal removal rate in edm process using taguchi and ANOVA method. Engineering and Technology Journal Vol. 38, no. 10A (2020), pp.1504-1510.
https://search.emarefa.net/detail/BIM-1235576

American Medical Association (AMA)

Ghazi, Safa Kazim. Investigation theelectrode wear rate and metal removal rate in edm process using taguchi and ANOVA method. Engineering and Technology Journal. 2020. Vol. 38, no. 10A, pp.1504-1510.
https://search.emarefa.net/detail/BIM-1235576

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 1510

Record ID

BIM-1235576