Prediction of surface roughness, material removal rate and tool wear ratio models for sic powder mixing edm

Other Title(s)

نماذج التنبؤ بالخشونة السطحية و معدل إزالة المعدن و نسبة تآكل العدة لعمليات التشغيل بالشرارة الكهربائية ومسحوق كربيد السليكون الممزوج

Joint Authors

Ali, Sad Mahmud
Amin, Samir Ali
al-Khazraji, Ahmad Nayif Ibrahim

Source

Journal of Engineering and Development

Issue

Vol. 19, Issue 5 (31 Jul. 2015), pp.73-93, 21 p.

Publisher

al-Mustansyriah University College of Engineering

Publication Date

2015-07-31

Country of Publication

Iraq

No. of Pages

21

Main Subjects

Electronic engineering

Abstract EN

Powder mixed electric discharge machining (PMEDM) is one of the new innovations for the enhancement of capabilities of electric discharge machining process.

This paper is an attempt to study the effect of SiC powder mixed in the kerosene dielectric fluid.

The type of electrodes, the peak current and the pulse-on time are the main selected EDM input parameters.

The workpiece and the electrodes materials are the AISI D2 die steel and copper and graphite materials, respectively.

The output responses considered are the workpiece surface roughness (SR), the material removal rate (MMR) and the tool wear ratio (TWR).

The experiments are planned using response surface methodology (RSM) design procedure.

Empirical models are developed for SR, MRR and TWR using the analysis of variance (ANOVA) and regression models to study the effect of process parameters.

The best results for the productivity of the process (MRR) obtained when using graphite electrodes at pulse current (22 A), pulse on duration (120 μs) and with silicon carbide (SiC) powder mixing in kerosene dielectrict at reaches (76.76 mm³/min).

These results improved the material removal rate by (264%) with respect to the corresponding value obtained when using copper electrodes with kerosene dielectric alone.

The best (TWR) results of the process obtained when using graphite electrodes at pulse current (8 A), pulse on duration (40 μs) and using the kerosene dielectric alone reduced to the level (0.1023 %).

The use of graphite electrodes, the kerosene dielectric alone, the pulse current (8 A), and the pulse on duration (40 μs) yield the best (SR) with a value (2.87 μm) and improvement by (27%) with respect to the corresponding value obtained when using copper electrodes and the same parameters and machining conditions.

American Psychological Association (APA)

al-Khazraji, Ahmad Nayif Ibrahim& Amin, Samir Ali& Ali, Sad Mahmud. 2015. Prediction of surface roughness, material removal rate and tool wear ratio models for sic powder mixing edm. Journal of Engineering and Development،Vol. 19, no. 5, pp.73-93.
https://search.emarefa.net/detail/BIM-830287

Modern Language Association (MLA)

al-Khazraji, Ahmad Nayif Ibrahim…[et al.]. Prediction of surface roughness, material removal rate and tool wear ratio models for sic powder mixing edm. Journal of Engineering and Development Vol. 19, no. 5 (Jul. 2015), pp.73-93.
https://search.emarefa.net/detail/BIM-830287

American Medical Association (AMA)

al-Khazraji, Ahmad Nayif Ibrahim& Amin, Samir Ali& Ali, Sad Mahmud. Prediction of surface roughness, material removal rate and tool wear ratio models for sic powder mixing edm. Journal of Engineering and Development. 2015. Vol. 19, no. 5, pp.73-93.
https://search.emarefa.net/detail/BIM-830287

Data Type

Journal Articles

Language

English

Notes

Record ID

BIM-830287