Optimised Tool Life by Partial Swarm Optimisation

The aim of the this paper is to develop the tool life prediction model for P20 tool steel with aid of statistical method and find the optimisation values with partial swarm optimisation (PSO), using coated carbide cutting tool. By using Response Surface Method (RSM), first and second order models we...

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Main Authors:	K., Kadirgama, M. M., Rahman, M. M., Noor, M. S. M., Sani
Format:	Article
Language:	English
Published:	2010
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/2233/ http://umpir.ump.edu.my/id/eprint/2233/ http://umpir.ump.edu.my/id/eprint/2233/1/Optimised_Tool_Life_By_Partial_Swarm_Optimisation.pdf

id	ump-2233
recordtype	eprints
spelling	ump-22332018-01-23T04:16:57Z http://umpir.ump.edu.my/id/eprint/2233/ Optimised Tool Life by Partial Swarm Optimisation K., Kadirgama M. M., Rahman M. M., Noor M. S. M., Sani TJ Mechanical engineering and machinery The aim of the this paper is to develop the tool life prediction model for P20 tool steel with aid of statistical method and find the optimisation values with partial swarm optimisation (PSO), using coated carbide cutting tool. By using Response Surface Method (RSM), first and second order models were developed with 95% confidence level. The tool life model was developed in terms of cutting speed, feed rate, axial depth and radial depth, using RSM. It was found that the feedrate, cutting speed, axial depth and radial depth played a major role. Tool life increases with a reduction in cutting speed and feedrate. For end-milling of P20 tool steel, the optimum conditions obtained from PSO are: cutting speed of 100 m/s, federate of 0.1 mm/tooth, axial depth of 1.9596 mm and radial depth of 2 mm. Using these parameters, a tool life of 40.52 min was obtained. 2010 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2233/1/Optimised_Tool_Life_By_Partial_Swarm_Optimisation.pdf K., Kadirgama and M. M., Rahman and M. M., Noor and M. S. M., Sani (2010) Optimised Tool Life by Partial Swarm Optimisation. International Journal of Material Forming, 3 (1). pp. 479-482. http://www.springerlink.com/content/8727173k5373161p/
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 K., Kadirgama M. M., Rahman M. M., Noor M. S. M., Sani Optimised Tool Life by Partial Swarm Optimisation
description	The aim of the this paper is to develop the tool life prediction model for P20 tool steel with aid of statistical method and find the optimisation values with partial swarm optimisation (PSO), using coated carbide cutting tool. By using Response Surface Method (RSM), first and second order models were developed with 95% confidence level. The tool life model was developed in terms of cutting speed, feed rate, axial depth and radial depth, using RSM. It was found that the feedrate, cutting speed, axial depth and radial depth played a major role. Tool life increases with a reduction in cutting speed and feedrate. For end-milling of P20 tool steel, the optimum conditions obtained from PSO are: cutting speed of 100 m/s, federate of 0.1 mm/tooth, axial depth of 1.9596 mm and radial depth of 2 mm. Using these parameters, a tool life of 40.52 min was obtained.
format	Article
author	K., Kadirgama M. M., Rahman M. M., Noor M. S. M., Sani
author_facet	K., Kadirgama M. M., Rahman M. M., Noor M. S. M., Sani
author_sort	K., Kadirgama
title	Optimised Tool Life by Partial Swarm Optimisation
title_short	Optimised Tool Life by Partial Swarm Optimisation
title_full	Optimised Tool Life by Partial Swarm Optimisation
title_fullStr	Optimised Tool Life by Partial Swarm Optimisation
title_full_unstemmed	Optimised Tool Life by Partial Swarm Optimisation
title_sort	optimised tool life by partial swarm optimisation
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/2233/ http://umpir.ump.edu.my/id/eprint/2233/ http://umpir.ump.edu.my/id/eprint/2233/1/Optimised_Tool_Life_By_Partial_Swarm_Optimisation.pdf
first_indexed	2023-09-18T21:55:50Z
last_indexed	2023-09-18T21:55:50Z
_version_	1777414072963170304

Optimised Tool Life by Partial Swarm Optimisation

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