000 02207nam a2200265 a 4500
001 vtls000042771
003 KUKTEM
005 20251114204411.0
008 090827t2008 my a f m 000 0 eng d
020 _aTHE0005768(Local)
039 9 _a201905101540
_baida
_c201107132223
_dVLOAD
_c200908271047
_dida
_y200908271046
_zida
040 _aUMP
090 _aTA418.7 .A96 2008 rs Bc.
100 0 _aMohd Azmi Md Juni
245 1 0 _aSurface roughness optimization of face milling operation using Taguchi design method /
_cMohd Azmi Md Juni
246 3 _aSurface roughness optimization of face milling operation using Taguchi design method
_h[electronic resource]
260 _aKuantan, Pahang :
_bUMP,
_c2008
300 _a58 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 computer disc
502 _aProject paper (Bachelor of Mechanical Engineering with Manufacturing) -- Universiti Malaysia Pahang - 2008
520 3 _aLately, there are many factories in Malaysia were build and increasing along with the development of the economic structure and national rapid development. However, not all the engineers in those factories are using proper statistical analysis in their research in the industry. Throughout this project which “Surface Roughness Optimization of Face Milling Operation Using Taguchi Design Method”, the result will be analyzed using DOE methodology and software. Implementing DOE method,the experiment is based on L9 Orthogonal Array of Taguchi Design Method experiment. The study is focusing on milling process which one of the cutting process. The experiment is conducted using milling machine and measured using the perthometer equipment. The analysis consists of three main elements which are finding the significant factor, Analysis of Variance (ANOVA) and estimated result at optimum condition. Finally, the outcome of the study is to determine if the DOE methodology can analyze the best surface roughness value and its effectiveness for the statistical analysis
650 0 _aSurface roughness
650 0 _aSurface (Technology)
650 0 _aTaguchi methods (Quality control)
999 _aVIRTUA40
_c1397
_d1403
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*6502*9992