| 000 | 02135nam a2200265 a 4500 | ||
|---|---|---|---|
| 001 | vtls000039960 | ||
| 003 | KUKTEM | ||
| 005 | 20251114204421.0 | ||
| 008 | 090709t2008 my a f m 000 0 eng|d | ||
| 020 | _aTHE0006635(Local) | ||
| 039 | 9 |
_a201905161452 _bamirul _c201107132305 _dVLOAD _c200908141645 _dVLOAD _c200908141623 _dVLOAD _y200907091154 _zida84 |
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| 040 | _aUMP | ||
| 090 | _aTJ1263 . L38 2008 rs Bc. | ||
| 100 | 0 | _aLatifah Md Yusoff | |
| 245 | 1 | 0 |
_aExperimental analysis on drilling process of CFRP composite laminates / _cLatifah Binti Md Yusoff |
| 246 | 3 |
_aExperimental analysis on drilling process of CFRP composite laminates _h[electronic resource] |
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| 260 |
_aKuantan, Pahang : _bUMP, _c2008 |
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| 300 |
_a67 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc |
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| 502 | _aProject paper (Bachelor of Mechanical Engineering with Manufacturing) -- Universiti Malaysia Pahang - 2008 | ||
| 520 | 3 | _aThe principal aim of this work is to optimize the drilling process of composite materials namely carbon fiber reinforced plastics (CFRP). Aspects of tool materials and machining parameters on their influence against the thrust force and delamination were investigated. The chosen machining parameters are feed rate and spindle speed. The optimization process was achieved by a method called General factorial. Through analysis function (ANOVA) the factorial model was found to be significant since the P value is 0.0116 which is less than 0.05. Type of tools is the most significant factor followed by spindle speed. The less significant factor is feed rate. The optimal parameters were SPF tool, 2000 rpm of spindle speed and 400 mm/min of feed rate. The optimization result shows that this method was reliable with desirability 0.815. It was found that the optimization process is achieved by Factorial Design. | |
| 650 | 0 |
_aDrilling and boring _xComputer programs |
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| 650 | 0 | _aFiber-reinforced plastics | |
| 650 | 0 | _aDrilling presses | |
| 999 |
_aVIRTUA40 _c1683 _d1689 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*6502*9992 | ||