Electrical Discharge Machining Of Titanium Alloy (Ti-6al-4v) Using Various Types Of Electrodes
Electrical Discharge Machining (EDM) is generally used in industry for machining high strength steel, tungsten carbide and hardened steel. EDM machining is also known as a spark erosion machining process. Titanium alloy is usually used in aerospace, automobile, spacecraft, gas turbine engine, medica...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2019
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| Online Access: | http://eprints.utem.edu.my/id/eprint/24998/1/Electrical%20Discharge%20Machining%20Of%20Titanium%20Alloy%20%28Ti-6al-4v%29%20Using%20Various%20Types%20Of%20Electrodes.pdf http://eprints.utem.edu.my/id/eprint/24998/2/Electrical%20Discharge%20Machining%20Of%20Titanium%20Alloy%20%28Ti-6al-4v%29%20Using%20Various%20Types%20Of%20Electrodes.pdf |
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| Summary: | Electrical Discharge Machining (EDM) is generally used in industry for machining high strength steel, tungsten carbide and hardened steel. EDM machining is also known as a spark erosion machining process. Titanium alloy is usually used in aerospace, automobile, spacecraft, gas turbine engine, medical and marine industry. The titanium alloy has a high strength and excellent corrosion resistance compared to aluminum, brass, and steel. However, the titanium alloy is a hard to cut material which difficult to be machined by using traditional machining process. Therefore, electrical discharge machining (EDM) was proposed in this study to machine titanium alloy. The main purpose of this research is to optimize the EDM machining of titanium alloy using various types of electrodes, such as copper, tungsten and copper-carbon nanofiber composite. In this experiment, the effect of different electrodes on the surface roughness (SR), tool wear rate (TWR) and material removal rate (MRR) were investigated. During the experiment, the value for machining parameters such as peak current and pulse on time were varied whilevoltage and pulse off time were remained constant. DOE was used to generated all the factors automatically. The data obtained in this experiment was analyzed using ANOVA. At the end of experiment, the optimum electrode that can improve the material removal rate (MRR) was copper carbon nanofiber (Cu-cnf) electrode, tool wear rate (TWR) and surface roughness (SR) was copper (Cu) electrode. |
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