000 02686ntm a2200253 a 4500
001 vtls000082979
003 KUKTEM
005 20251117113244.0
008 141104t2013 my da f m 000 0 eng d
020 _aTHE0007402(Local)
039 9 _a201905151154
_bfawwaz
_c201411131325
_dtraining1
_c201411051122
_dFida
_c201411050947
_dtraining1
_y201411041208
_ztraining1
040 _aUMP
090 _aTN490.T6 S93 2013 r Bc.
100 0 _aMuhammad Syauqi Shaidan
245 1 0 _aDevelopment of edm tool for producing titanium alloy automotive valve application /
_cMuhammad Syauqi Shaidan
260 _aKuantan, Pahang :
_bUMP,
_c2013
300 _axii, 50 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
502 _aProject Paper (Bachelors of Mechanical Engineering) -- Universiti Malaysia Pahang – 2013
504 _aBibliography : p. 44-45
520 3 _aThis paper presents the development of EDM tool for producing titanium alloy automotive valve application. Electric discharge machining (EDM) is a non-traditional machining processes that involved a transient spark discharges through the fluid due to the potential difference between the electrode and the work piece. The objective of this paper is to investigate how the peak current, servo voltage, pulse on- and off-time in EDM effect on Material Removal Rate (MRR), Tool Wear Rate (TWR). The experimental control parameters were being optimized according to their various machining characteristics namely Material Removal Rate (MRR), Tool Wear Rate (TWR) using copper as the electrode and also copper as the workpiece. Design of experiment (DOE) technique is used to determine the optimum machining parameters for this machining characteristic. Taguchi method has been used for the construction, layout and analysis of the experiment for MRR and TWR machining characteristic. The use of Taguchi method in the experiment saves a lot of time and cost of preparing and machining the experiment samples. Therefore, an L9 Orthogonal array which was the fundamental component in the statistical design of experiments has been used to plan the experiments, Analysis of Variance (ANOVA) is used to determine the optimum machining parameters for this machining characteristic. The result shown the peak current are most significant factor that affect material removal rate(MRR) and tool wear ratio (TWR) since the parameter bring major effect to MRR and TWR. As conclusion, the development of EDM tool is achieved and got the optimum parameter for MRR and TWR.
650 0 _aTitanium alloys
650 0 _aAutomobiles
_xMotors
_xValves
999 _aVIRTUA40
_c5565
_d5571
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992