Development of Statistical Model to Predict Ra and Rz in the Laser Cutting

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 la...

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Main Authors:	M. M., Noor, K., Kadirgama, M. M., Rahman, M. R. M., Rejab, M. S. M., Sani, R. A., Bakar, T. T., Mon
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/1453/ http://umpir.ump.edu.my/id/eprint/1453/1/2009_P_OPTI09_M.M.Noor-conference-.pdf

id	ump-1453
recordtype	eprints
spelling	ump-14532018-01-25T01:06:30Z http://umpir.ump.edu.my/id/eprint/1453/ Development of Statistical Model to Predict Ra and Rz in the Laser Cutting M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab M. S. M., Sani R. A., Bakar T. T., Mon TJ Mechanical engineering and machinery 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. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1453/1/2009_P_OPTI09_M.M.Noor-conference-.pdf 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 (Unpublished)
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 M. S. M., Sani R. A., Bakar T. T., Mon Development of Statistical Model to Predict Ra and Rz in the Laser Cutting
description	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.
format	Conference or Workshop Item
author	M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab M. S. M., Sani R. A., Bakar T. T., Mon
author_facet	M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab M. S. M., Sani R. A., Bakar T. T., Mon
author_sort	M. M., Noor
title	Development of Statistical Model to Predict Ra and Rz in the Laser Cutting
title_short	Development of Statistical Model to Predict Ra and Rz in the Laser Cutting
title_full	Development of Statistical Model to Predict Ra and Rz in the Laser Cutting
title_fullStr	Development of Statistical Model to Predict Ra and Rz in the Laser Cutting
title_full_unstemmed	Development of Statistical Model to Predict Ra and Rz in the Laser Cutting
title_sort	development of statistical model to predict ra and rz in the laser cutting
publishDate	2009
url	http://umpir.ump.edu.my/id/eprint/1453/ http://umpir.ump.edu.my/id/eprint/1453/1/2009_P_OPTI09_M.M.Noor-conference-.pdf
first_indexed	2023-09-18T21:54:36Z
last_indexed	2023-09-18T21:54:36Z
_version_	1777413994745692160

Development of Statistical Model to Predict Ra and Rz in the Laser Cutting

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