| 000 | 02569nam a2200277 a 4500 | ||
|---|---|---|---|
| 001 | vtls000045548 | ||
| 003 | KUKTEM | ||
| 005 | 20251114204408.0 | ||
| 008 | 100504t2009 my a f m 000 0 eng d | ||
| 020 | _aTHE0006615(Local) | ||
| 039 | 9 |
_a201905161253 _bamirul _c201107132203 _dVLOAD _y201005041335 _zida |
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| 040 | _aUMP | ||
| 090 | _aTJ1225 .Z36 2009 rs Bc. | ||
| 100 | 0 | _aMohd Zamri Ja'afar | |
| 245 | 1 | 0 |
_aDevelop 1st and 2nd mathematical model for torque prediction by using response surface methodology when milling modified AISI P20 tool steel / _cMohd Zamri Bin Ja'afar |
| 246 | 3 |
_aDevelop 1st and 2nd mathematical model for torque prediction by using response surface methodology when milling modified AISI P20 tool steel _h[electronic resource] |
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| 260 |
_aKuantan, Pahang : _bUMP, _c2009 |
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| 300 |
_axv, 49 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc |
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| 502 | _aProject paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009 | ||
| 504 | _aBibliography : p. 43-44 | ||
| 520 | 3 | _aThe present paper discusses the development of the first and second order models for predicting the cutting torque produced in end-milling operation of modified AISI P20 tool steel. The first and second order cutting torque 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 power. The cutting torque 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 increase in the cutting speed, feed rate, axial and radial depths of cut will cause the cutting torque to become larger. The received second order equation shows, based on the variance analysis, that the cutting torque decreased when cutting speed, federate, axial and radial depth of cut is reduced. The predictive models in this study are believed to produce values of the longitudinal component of the cutting torque close to those readings recorded experimentally with a 95% confident interval. | |
| 650 | 0 | _aMilling-machines | |
| 650 | 0 |
_aTorque _xMathematical models |
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| 650 | 0 | _aResponse surfaces (Statistics) | |
| 999 |
_aVIRTUA40 _c1308 _d1314 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*6502*9992 | ||