000 02284nam a2200229 a 4500
001 vtls000041098
003 KUKTEM
005 20251114204414.0
008 090805t2008 my a f m 000 0 eng d
020 _aTHE0006568(Local)
039 9 _a201905161018
_bamirul
_c201204091116
_dFida
_c201107132231
_dVLOAD
_c200908141653
_dVLOAD
_y200908051547
_zida84
040 _aUMP
090 _aTJ1191 .A75 2008 rs Bc.
100 0 _aMohd Arif Mokti
245 1 2 _aA surface roughness prediction model for laser beam cutting (LBC) on acrylic sheets /
_cMohd Arif Mokti
260 _aKuantan, Pahang :
_bUMP,
_c2008
300 _a53 p. :
_bill. (some col.) ;
_c30 cm.+
_e1 CD-ROM
502 _aProject paper (Bachelor of Mechanical Engineering with manufacturing) -- Universiti Malaysia Pahang - 2008
520 3 _aThe present thesis discusses the development of the statistic model surface roughness for acrylic sheet on laser beam cutting and the effect of laser beam cutting (LBC) parameters towards acrylic sheet surface roughness. The model are developed by using the response surface methodology (RSM) to study the effect of cutting parameters (power, laser speed, gap distance and material thickness) on acrylic sheets surface roughness. The model of the experiment is performed with using Box- Behnken design which it will arrange all the cutting parameters with suitable combination that needed for experiments performance. The affect of input factors and the interaction between these factors are also investigated in this study. It was found that the interaction of these parameters (power, laser speed, gap distance and material thickness) with surface roughness was extremely strong. The predictive models in this study are believed to produce value of the surface roughness. The predicted model for first order and second order for this model is performed with using MINITAB software. MINITAB will able to give solution for many data analysis and then predicted model will come out after finish all the analysis steps.
650 0 _aLaser beam cutting
999 _aVIRTUA40
_c1480
_d1486
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5200*6500*9992