Optimization of electrical discharge machine parameter on mild steel by using response surface methodology
This thesis deals with machining steel workpiece using Electrical Discharge Machining (EDM). The objective of this thesis is to determine the relationship between the machining parameters which is pulse-on time, pulse-off time, flushing pressure, peak current and servo voltage with material removal...
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2010
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| Online Access: | http://umpir.ump.edu.my/id/eprint/1436/ http://umpir.ump.edu.my/id/eprint/1436/ http://umpir.ump.edu.my/id/eprint/1436/1/mohd_amir_firdaus_salleh_%28_CD_5051_%29r.pdf |
| Summary: | This thesis deals with machining steel workpiece using Electrical Discharge Machining (EDM). The objective of this thesis is to determine the relationship between the machining parameters which is pulse-on time, pulse-off time, flushing pressure, peak current and servo voltage with material removal rate (MRR), electrode wear ratio (EWR) and surface roughness (SR). This thesis uses the response surface methodology techniques to turn out the equation the equation that use to optimize the MRR, EWR and SR and the fractional factorial design of experiment was used in the project. The machining of mild steel workpiece was performed by using an EDM machine ROBOFORM 200 and the analysis was done by using the MINITAB software. Based from the result, it is observed that the second order modal give more accurate prediction data for both MRR and EWR. The significant parameters that effect the EWR was the discharge current and discharge voltage. The EWR increased when this two parameter increase. The significant parameters are discharge voltage and pulse-on time for MRR. By previous researchers found that machining parameters had a large effect on geometric tool wear characteristics and machining performance outputs. Considering all of these parameters, a good machining condition can be obtained. This result also can significantly reduce the cost of operation and cost of product. |
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