| 000 | 02571nam a2200277 a 4500 | ||
|---|---|---|---|
| 001 | vtls000045869 | ||
| 003 | KUKTEM | ||
| 005 | 20251114204428.0 | ||
| 008 | 100521t2009 my a f m 000 0 eng d | ||
| 020 | _aTHE0006586(Local) | ||
| 039 | 9 |
_a201905161033 _bamirul _c201107132320 _dVLOAD _y201005211134 _zida |
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| 040 | _aUMP | ||
| 090 | _aTJ1191 .M83 2009 rs Bc. | ||
| 100 | 0 | _aMuhamad Mubarak Ab Rahman | |
| 245 | 1 | 0 |
_aPrediction of electrode wear ratio and material removal rate in electric discharge machining operation of FW4 steel / _cMuhamad Mubarak B Ab Rahman |
| 246 | 3 | _aPrediction of electrode wear ratio and material removal rate in electric discharge machining operation of FW4 steel [electronic resource] | |
| 260 |
_aKuantan, Pahang : _bUMP, _c2009 |
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| 300 |
_axv, 60 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc |
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| 502 | _aProject paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009 | ||
| 504 | _aBibliography : p. 50-51 | ||
| 520 | 3 | _aThis 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. | |
| 650 | 0 | _aMetal-cutting tools | |
| 650 | 0 | _aMachining | |
| 650 | 0 | _aMechanical wear | |
| 999 |
_aVIRTUA40 _c1874 _d1880 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*6502*9992 | ||