02571nam a2200277 a 4500 vtls000045869 KUKTEM 20251114204428.0 100521t2009 my a f m 000 0 eng d THE0006586(Local) 201905161033 amirul 201107132320 VLOAD 201005211134 ida UMP TJ1191 .M83 2009 rs Bc. Muhamad Mubarak Ab Rahman Prediction of electrode wear ratio and material removal rate in electric discharge machining operation of FW4 steel / Muhamad Mubarak B Ab Rahman Prediction of electrode wear ratio and material removal rate in electric discharge machining operation of FW4 steel [electronic resource] Kuantan, Pahang : UMP, 2009 xv, 60 p. : ill. (some col.) ; 30 cm. + 1 computer disc 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. Metal-cutting tools Machining Mechanical wear 0 0 0 1 20000 20000 2019-09-04 0 TJ1191 .M83 2009 rs Bc. 0000044361 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 4204 | TJ1191 .M83 2009 rs Bc. 0000044362 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 1874 1880 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*6502*9992