02207nam a2200265 a 4500 vtls000042771 KUKTEM 20251114204411.0 090827t2008 my a f m 000 0 eng d THE0005768(Local) 201905101540 aida 201107132223 VLOAD 200908271047 ida 200908271046 ida UMP TA418.7 .A96 2008 rs Bc. Mohd Azmi Md Juni Surface roughness optimization of face milling operation using Taguchi design method / Mohd Azmi Md Juni Surface roughness optimization of face milling operation using Taguchi design method [electronic resource] Kuantan, Pahang : UMP, 2008 58 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of Mechanical Engineering with Manufacturing) -- Universiti Malaysia Pahang - 2008 Lately, 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 Surface roughness Surface (Technology) Taguchi methods (Quality control) 0 0 0 1 20000 20000 2019-09-04 0 TA418.7 .A96 2008 rs Bc. 0000038782 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 3589 | TA418.7 .A96 2008 rs Bc. 0000038783 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 1397 1403 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*6502*9992