Electrical discharge machining of silicon carbide using brass electrode

Siliconized silicon carbide, SiSiC is classified as semiconductor and characterized as high hardness, high thermal conductivity, low thermal expansion and typically low porosity materials. SiSiC normally used under high temperature condition such as for heat exchangers, burners, disc brakes and mech...

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Bibliographic Details
Main Author: Che Mud, Muhammed Fadley
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:http://eprints.utm.my/id/eprint/48192/1/MuhammedFadleyCheMudMFKM2013.pdf
http://eprints.utm.my/id/eprint/48192/
http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Electrical+discharge+machining+of+silicon+carbide+using+brass+electrode&te=
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Summary:Siliconized silicon carbide, SiSiC is classified as semiconductor and characterized as high hardness, high thermal conductivity, low thermal expansion and typically low porosity materials. SiSiC normally used under high temperature condition such as for heat exchangers, burners, disc brakes and mechanical seals. Die sinking EDM is a non-conventional machining process and available as an alternative to conventional machining to cut certain form and types of material especially to cut complex shape of high strength material. Brass is typical types of material to be used as electrode in EDM process besides copper, graphite, copper-tungsten and molybdenum. Brass does not resist wear as well as copper or tungsten, but is much easier to machine and can be die-cast or extruded for specialized applications. This study is focused on the parameter analysis for EDM die sinking process on SiSiC. Brass electrode is used for the process. EDM parameters; peak current, voltage, pulse duration and pulse interval are selected as the controllable factors. Their effects on material removal rate, tool wear rate and surface roughness on the process are to be studied. Design of experiment methodology is implemented to design the experiment and analysis of variance, ANOVA will be applied for the result analysis. The mathematical models are developed separately for each of the investigated process performances based from the significant effects on the responses. To ensure the mathematical models are valid, confirmation runs are performed with three different parameters setup. The optimum result of material removal rate, tool wear rate and surface roughness in region of finishing operation of EDM die sinking process are finally determined