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Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets

M. M., Noor and K., Kadirgama and M. M., Rahman and M. R. M., Rejab and N. M. Zuki, N. M. and K. F., Muhamad (2009) Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets. Advanced Materials Research. ISSN 1022-6680


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This paper develops the predicting model on surface roughness of laser beam cutting (LBC) for acrylic sheets. Box-Behnken design based on Response surface method was used to predict the effect of laser cutting parameters including the power requirement, cutting speed and tip distance on surface roughness during the machining. Response surface method (RSM) was used to minimize the number of experiments. It can be seen that from the experimental results, the effects of the laser cutting parameters with the surface roughness were investigated. It was found that the surface roughness is significantly affected by the tip distance followed by the power requirement and cutting speed. Some defects were found in microstructure such as burning, melting and wavy surface. This simulation gain more understanding of the surface roughness distribution in laser cutting. The developed model is suitable to be used in the range of (power 90 to 95, cutting speed 700 to 1100 and tip distance 3 to 9) to predict surface roughness.

Item Type: Article
Additional Information: International Conference on Advance Material & Processing Technology (AMPT 2008), 2-5 November 2008, Golf International Convention Center, Manama Bahrain Muhamad Mat Noor (M. M. Noor) Dr. Kumaran Kadirgama (K. Kadirgama) Dr. Mohd Ruzaimi Mat Rejab (M. R. M. Rejab) Profesor Dr. Md. Mustafizur Rahman (M. M. Rahman) Ir. Dr. Haji Nik M. Zuki Nik Mohamed (N. M. Zuki N. M.)
Uncontrolled Keywords: Laser beam cutting, Box-Behnken design, surface roughness, acrylic sheets
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Zairi Ibrahim
Date Deposited: 25 Jul 2011 06:08
Last Modified: 08 Jan 2018 05:20
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