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Prediction of electrode wear ratio and material removal rate in electric discharge machining operation of FW4 steel / Muhamad Mubarak B Ab Rahman

By:

Muhamad Mubarak Ab Rahman

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2009Description: xv, 60 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN:

THE0006586(Local)

Other title:

Prediction of electrode wear ratio and material removal rate in electric discharge machining operation of FW4 steel [electronic resource]

Subject(s):

Dissertation note: Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009 Abstract: 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 discharge current, discharge voltage and pulse-on time with material removal rate (MRR) and electrode wear ratio (EWR). This thesis use the response surface methodology techniques to turn out the equation the equation that use to predict the MRR and EWR and the fractional factorial design of experiment was used in the project. The machining of FW4 welded steel workpiece was perform using the EDM machine ROBOFORM 200 and the analysis was done 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 increase 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, the good machining condition can be performed and this result also can significantly reduce the cost of operation and cost of product.

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Holdings ( 2 )
Title notes ( 3 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	TJ1191 .M83 2009 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000044361
Final Year Report	UMPLIB PEKAN	CD 4204 \| TJ1191 .M83 2009 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000044362

Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009

Bibliography : p. 50-51

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 discharge current, discharge voltage and pulse-on time with material removal rate (MRR) and electrode wear ratio (EWR). This thesis use the response surface methodology techniques to turn out the equation the equation that use to predict the MRR and EWR and the fractional factorial design of experiment was used in the project. The machining of FW4 welded steel workpiece was perform using the EDM machine ROBOFORM 200 and the analysis was done 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 increase 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, the good machining condition can be performed and this result also can significantly reduce the cost of operation and cost of product.