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Prediction of surface roughness in wire electric discharge machining (EDM) of aluminum alloy based on experimental results / Mohd. Rozaidy Afzan Bin Vitalis

By:

Mohd. Rozaidy Afzan Vitalis

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2009Description: xiv, 59 p. : ill. ; 30 cm. + 1 computer discISBN:

THE0005784(Local)

Other title:

Prediction of surface roughness in wire electric discharge machining (EDM) of aluminum alloy based on experimental results [electronic resource]

Subject(s):

Dissertation note: Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009 Abstract: Surface roughness is one of the most important requirements in machining process. In order to obtain better surface roughness, the proper setting of cutting parameters is crucial before the process take place. The aim of this research is to develop first order and second order prediction mathematical model for Surface roughness using response surface methodology (RSM) when machining using Wire-EDM for aluminum alloy 6061-T6 and compare both mathematical modeling to find the most effective prediction model. SODICK AQ353L machine was used to cut Aluminum Alloy 6061-T6 and PERTHOMETER to measure surface roughness. By using Response Surface Method (RSM) of experiment, first and second order models were developed with 95% confidence level. The machine parameters that had been considered in this study are ON-time, OFF-time, peak discharge current and wire speed. It was established that the surface roughness is most influenced by On-time. The percentage error of surface roughness predicted is calculated to obtain the accuracy of mathematical model build, the second order prediction model gives less percentage error which is 3.29% compare to first order prediction model 3.68%. So, the second order mathematical modeling is more suitable for prediction of surface roughness.

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Holdings ( 2 )
Title notes ( 2 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	TA418.7 .R69 2009 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000044375
Final Year Report	UMPLIB PEKAN	CD 4211 \| TA418.7 .R69 2009 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000044376

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

Surface roughness is one of the most important requirements in machining process. In order to obtain better surface roughness, the proper setting of cutting parameters is crucial before the process take place. The aim of this research is to develop first order and second order prediction mathematical model for Surface roughness using response surface methodology (RSM) when machining using Wire-EDM for aluminum alloy 6061-T6 and compare both mathematical modeling to find the most effective prediction model. SODICK AQ353L machine was used to cut Aluminum Alloy 6061-T6 and PERTHOMETER to measure surface roughness. By using Response Surface Method (RSM) of experiment, first and second order models were developed with 95% confidence level. The machine parameters that had been considered in this study are ON-time, OFF-time, peak discharge current and wire speed. It was established that the surface roughness is most influenced by On-time. The percentage error of surface roughness predicted is calculated to obtain the accuracy of mathematical model build, the second order prediction model gives less percentage error which is 3.29% compare to first order prediction model 3.68%. So, the second order mathematical modeling is more suitable for prediction of surface roughness.