000 02319nam a2200277 a 4500
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003 KUKTEM
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008 110331t2010 my a f m 000 0 eng d
020 _aTHE0005760(Local)
039 9 _a201905241011
_bhanafiah
_c201110041133
_dFida
_c201107140042
_dVLOAD
_c201103311525
_dida
_y201103311523
_zida
040 _aUMP
090 _aTA418.7 .A33 2010 rs Bc.
100 0 _aAida Azwa A. Halim
245 1 0 _aTaguchi approach on surface integrity of titanium in turning operation using tin coated cutting tool /
_cAida Azwa A. Halim
246 3 _aTaguchi approach on surface integrity of titanium in turning operation using tin coated cutting tool
_h[computer file]
260 _aKuantan, Pahang :
_bUMP,
_c2010
300 _axvi, 73 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 computer disc
502 _aProject paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2010
504 _aBibliography : p. 69-71
520 3 _aModern manufacturers, seeking to remain competitive in the market, rely on their manufacturing engineers and production personnel to quickly and effectively set up manufacturing process for new products. Taguchi Parameter design is a powerful and efficient method for optimizing quality and performance output of manufacturing processes, thus a powerful tool for meeting this challenge. This thesis discusses an investigation into use the Taguchi Parameter Design for optimizing surface roughness generated by a Computer Numerical Controller (CNC) lathe. Control parameters being consider in this thesis are cutting speed, feed rate and depth of cut. After experimentally turning sample workpiece using the selected orthogonal array and the parameters, this study expected produce an optimum combination of controlled parameter for the surface roughness. And from the result generated, the correlation for surface roughness with the cutting parameters satisfies a reasonable degree of approximation. Cutting speeds are a significant parameter in influencing the surface roughness.
650 0 _aSurface roughness
650 0 _aTaguchi methods (Quality control)
650 0 _aMachining
999 _aVIRTUA40
_c2304
_d2310
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*6502*9992