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003 KUKTEM
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008 100615t2009 my dao f m 000 0 eng d
020 _aTHE0006610(Local)
039 9 _a201905161233
_bamirul
_c201107132056
_dVLOAD
_y201006150953
_zFida
040 _aUMP
090 _aTJ1225 .N39 2009 rs Bc.
100 0 _aMuhamad Nazumi Basuki
245 1 0 _aPrediction of cutting force in end-milling operation of modified AISI P20 tool steel /
_cMuhamad Nazumi Bin Basuki
246 3 _aPrediction of cutting force in end-milling operation of modified AISI P20 tool steel
_h[electronic resource]
260 _aKuantan, Pahang :
_bUMP ,
_c2009
300 _axvi, 62 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 computer disc
502 _aProject paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009
520 3 _aThis thesis discuss the development of the first and second order models for predicting the cutting force produced in end-milling operation of modified AISI P20 tool steel. The first and second order cutting force equations are developed using the response surface methodology (RSM) to study the effect of four input cutting parameters which is cutting speed, feed rate, radial depth and axial depth of cut on cutting force. The cutting force contours with respect to input parameters are presented and the predictive models analyses are performed with the aid of the statistical software package Minitab. The separate affect of individual input factors and the interaction between these factors are also investigated in this study. In first order model, the decrease of cutting speed along with the increase in the cutting speed, feed rate, axial and radial depths of cut will cause the cutting force to become larger. The received second order equation shows, based on the variance analysis, that the cutting force increased when federate and radial depth of cut is raised. However, the cutting force increased with the slightly reduce of axial depth and cutting speed value. The predictive models in this study are believed to produce values of the longitudinal component of the cutting power close to those readings recorded experimentally with a 95% confident interval.
650 0 _aMilling-machines
650 0 _aMilling cutters
999 _aVIRTUA40
_c862
_d868
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*9992