Mohd Arif, Mokti (2008) A surface roughness prediction model for laser beam cutting (LBC) on acrylic sheets. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
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13.A Surface Roughness Prediction Model For Laser Beam Cutting (Lbc) On Acrylic Sheets.pdf - Accepted Version Download (4MB) | Preview |
Abstract
The 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.
| Item Type: | Undergraduates Project Papers |
|---|---|
| Additional Information: | Project paper (Bachelor of Mechanical Engineering with manufacturing) -- Universiti Malaysia Pahang - 2008, SV: DR KUMARAN A/L KADIRGAMA, CD NO.: 3578 |
| Uncontrolled Keywords: | Laser beam cutting |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Mechanical Engineering |
| Depositing User: | Rosfadilla Mohamad Zainun |
| Date Deposited: | 01 Apr 2010 07:50 |
| Last Modified: | 20 Mar 2023 03:24 |
| URI: | http://umpir.ump.edu.my/id/eprint/181 |
| Download Statistic: | View Download Statistics |
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