M. M., Noor and K., Kadirgama and M. M., Rahman and M. R. M., Rejab and M. S. M., Sani and R. A., Bakar and T. T., Mon (2009) Development of Statistical Model to Predict Ra and Rz in the Laser Cutting. In: 11th International Conference on Optimum Design of Structures and Materials in Engineering, OPTI09 , 8 – 10 June 2009 , Algarve, Portugal. . (Unpublished)
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Abstract
Laser cutting is one of the advances machining on material remover process.This paper explores the prediction model of surface roughness (Ra) and roughness height (Rz) of laser beam cutting on acrylic sheets. Box-Behnken design based Response Surface Method (RSM) was used to predict the effect of laser cutting parameters which are laser power, cutting speed and tip distance on Ra and Rz. The predictive models are good agreement with experimental results. The first order equation revealed that the power requirement was the dominant factor followed by tip distance and cutting speed respectively. This observation indicates that the potential of using RSM in predicting cutting parameters thus eliminating the need for exhaustive cutting experiments to obtain the optimum cutting condition and enhance the surface roughness.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Muhamad Mat Noor (M. M. Noor) Tet Tet Mon Daw (T.T. Mon) Abu Bakar Rosli (R. A. Bakar) Dr. Kumaran Kadirgama (K. Kadirgama) Dr. Mohd Ruzaimi Mat Rejab (M. R. M. Rejab) Mohd Shahrir Bin Mohd Sani (M. S. M. Sani) Profesor Dr. Md. Mustafizur Rahman (M. M. Rahman) |
| Uncontrolled Keywords: | Laser beam cutting, Box-Behnken design, surface roughness, acrylic sheets, surface height |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Mechanical Engineering |
| Depositing User: | Mr. Zairi Ibrahim |
| Date Deposited: | 25 Jul 2011 03:30 |
| Last Modified: | 25 Jan 2018 01:06 |
| URI: | http://umpir.ump.edu.my/id/eprint/1453 |
| Download Statistic: | View Download Statistics |
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