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

العناوين الأخرى

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

المؤلفون المشاركون

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

المصدر

Journal of Engineering and Development

العدد

المجلد 19، العدد 5 (31 يوليو/تموز 2015)، ص ص. 73-93، 21ص.

الناشر

الجامعة المستنصرية كلية الهندسة

تاريخ النشر

2015-07-31

دولة النشر

العراق

عدد الصفحات

21

التخصصات الرئيسية

الهندسة الكهربائية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

رقم السجل

BIM-830287