02459nam a2200253 a 4500 vtls000045883 KUKTEM 20251114204444.0 100524t2009 my dao f m 000 0 eng d THE0005784(Local) 201905101622 aida 201107140042 VLOAD 201103301001 ida 201005240931 ida UMP TA418.7 .R69 2009 rs Bc. Mohd. Rozaidy Afzan Vitalis Prediction of surface roughness in wire electric discharge machining (EDM) of aluminum alloy based on experimental results / Mohd. Rozaidy Afzan Bin Vitalis Prediction of surface roughness in wire electric discharge machining (EDM) of aluminum alloy based on experimental results [electronic resource] Kuantan, Pahang : UMP, 2009 xiv, 59 p. : ill. ; 30 cm. + 1 computer disc 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. Surface roughness Machining 0 0 0 1 20000 20000 2019-09-04 0 TA418.7 .R69 2009 rs Bc. 0000044375 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 4211 | TA418.7 .R69 2009 rs Bc. 0000044376 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 2344 2350 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*9992