02249ntm a2200253 a 4500 vtls000073111 KUKTEM 20251114204540.0 130705t2012 my da f m 000 0 eng d THE0006567(Local) 201905161009 amirul 201307051205 huda UMP TJ1191 .A45 2012 rs Bc. Muhammad Aliff Nazreen Norazmi Multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis / Muhammad Aliff Nazreen Norazmi Kuantan, Pahang : UMP, 2012 xiv, 50 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Mechanical Engineering (Manufacturing)) -- Universiti Malaysia Pahang - 2012 Bibliography : p. 40-42 This report deals with the machining workpiece Titanium Alloy using electrical discharge machining (EDM). The objective of this thesis is to optimize the surface roughness (SR), electrode wear ratio (EWR) and material removal rate (MRR) by using grey relational analysis (GRA) with orthogonal array (OA) and to discuss on the significant result by using Analysis of Variance (ANOVA). The machining of Titanium Alloy workpiece was performed using the EDM machine AQ55L (ATC) and the analysis done using equation for GRA and STATISTICA software for ANOVA. In this study, the machining parameters, namely workpiece polarity, pulse off time, pulse on time, peak current and servo voltage are optimized. A grey relational grade obtained from the grey relational analysis is used to solve the EDM process with the multiple performance characteristics. Optimal machining parameters can then be determined by the grey relational grade as the performance index. Based from the result, the most significant parameter that affects the MRR, EWR and SR was the peak current while significant parameter was pulse off time. Experimental results have shown that machining performance in the EDM process can be improved effectively through this approach. Electric metal-cutting Surface roughness 0 0 0 1 20000 20000 2019-09-04 0 TJ1191 .A45 2012 rs Bc. 0000072655 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 6855 | TJ1191 .A45 2012 rs Bc. 0000072656 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 3928 3934 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992