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020 _aTHE0006606(Local)
039 9 _a201905161136
_bamirul
_c201110040951
_dFida
_c201107140040
_dVLOAD
_y201103250814
_zida
040 _aUMP
090 _aTJ1191.5 .T56 2010 rs Bc.
100 1 _aTiong, Chung Shia
245 1 0 _aComputational laser micromachining for machining PMMA /
_cTiong Chung Shia
246 3 _aComputational laser micromachining for machining PMMA
_h[computer file]
260 _aKuantan, Pahang :
_bUMP,
_c2010
300 _axvi, 57 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. 47-49
520 3 _aLaser micromachining has many technological advantages compared to conventional technologies, including design flexibility, production of complex shape and possibility of rapid prototyping. Typical problems that may be faced with laser micromachining are laser-induced debris, large heat-affected zone and laser penetration depth. Frequently, high quality components are obtained by chance or at the expense of time and money due to inaccessible machining dimension, improper set of process parameter and large uncertainty in the process itself. To solve these problems, virtual laser micromachining with the aid of computational model is greatly desirable. This thesis presents a computational laser micromachining model for machining Polymethyl Methacrylate (PMMA). Laser micromachining parameters considered were laser power, spatial velocity and spot size. Finite element models were developed to simulate laser micromachining of PMMA. Time-dependent thermal analysis was used as analysis type. The geometry of the computational model is limited to two-dimensional (2-D) model and uniform mesh design is used. Material was modeled as isotropic and properties were obtained from literature. From result, the computational model was validated by comparing computed size of major cutting zone with experimental result. After validation, laser micromachining was simulated for varying laser parameters generated by design of experiment (DOE) in STATISTICA. These results will be analyzed in STATISTICA and the feasible process parameters were identified. Different parameter combinations provide different contour pattern and different size of major cutting zone. Laser power was found to be the most significant effect to the size of major cutting zone, followed by laser spot size and spatial velocity.
650 0 _aMicromachining
999 _aVIRTUA40
_c2317
_d2323
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*9992