- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Prediction of Metal Removal Rate and Surface Roughness in Electrochemical Machining (ECM) | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 30, Issue 8, 2012, Pages 1415-1427 PDF (356.42 K) | ||
| DOI: 10.30684/etj.30.8.12 | ||
| Authors | ||
| Saad kariem Shather; Hiba Husien Alwan | ||
| Abstract | ||
| Electrochemical Machining (ECM) is a relatively important method of removing metal by anodic dissolution. In this research the ECM was used to remove the metals from the internal hole of the workpiece.The tool used was made from brass. This research focuses on the parameters of the change in gap size, the change in current density, and the change of the tool roughness on the Material Removal Rate (MRR), and Surface Roughness of the workpiece. The Statistical Package for Social Science (SPSS) software was used to predict the results. It was found that for the surface roughness the coefficient of determination of the prediction was (0.982) and the accuracy of prediction (97.15%). For the Material Removal Rate in (g/sec) units the coefficient of determination of predicts was (0.991) with accuracy of prediction (98.29%). | ||
| Keywords | ||
| current density; tool roughness; Metal removal rate; Surface Roughness; SPSS software | ||
|
Statistics Article View: 355 PDF Download: 185 |
||