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

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 roug...

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Main Authors:	M. M., Noor, K., Kadirgama, M. M., Rahman, M. R. M., Rejab, N. M. Zuki, N. M., K. F., Muhamad
Format:	Article
Language:	English
Published:	2009
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/1465/ http://umpir.ump.edu.my/id/eprint/1465/1/2009_J_AMR_M.M.Noor_K.Kadirgama-Jurnal-.pdf

id	oai:umpir.ump.edu.my:1465
recordtype	eprints
spelling	oai:umpir.ump.edu.my:14652018-01-08T05:20:16Z http://umpir.ump.edu.my/id/eprint/1465/ Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab N. M. Zuki, N. M. K. F., Muhamad TJ Mechanical engineering and machinery 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. 2009 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1465/1/2009_J_AMR_M.M.Noor_K.Kadirgama-Jurnal-.pdf 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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab N. M. Zuki, N. M. K. F., Muhamad Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets
description	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.
format	Article
author	M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab N. M. Zuki, N. M. K. F., Muhamad
author_facet	M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab N. M. Zuki, N. M. K. F., Muhamad
author_sort	M. M., Noor
title	Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets
title_short	Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets
title_full	Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets
title_fullStr	Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets
title_full_unstemmed	Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets
title_sort	prediction modelling of surface roughness for laser beam cutting on acrylic sheets
publishDate	2009
url	http://umpir.ump.edu.my/id/eprint/1465/ http://umpir.ump.edu.my/id/eprint/1465/1/2009_J_AMR_M.M.Noor_K.Kadirgama-Jurnal-.pdf
first_indexed	2018-09-07T00:23:21Z
last_indexed	2018-09-07T00:23:21Z
_version_	1610906128783245312

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

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