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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| Format: | Article |
| Language: | en |
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2010
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| Online Access: | http://umpir.ump.edu.my/id/eprint/2233/1/Optimised_Tool_Life_By_Partial_Swarm_Optimisation.pdf http://umpir.ump.edu.my/id/eprint/2233/ http://www.springerlink.com/content/8727173k5373161p/ |
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| _version_ | 1831521154677866496 |
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| 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 |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.ump.umpir.2233 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2010 |
| record_format | eprints |
| spelling | my.ump.umpir.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. (Published) http://www.springerlink.com/content/8727173k5373161p/ |
| 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 |
| title | 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_short | Optimised Tool Life by Partial Swarm Optimisation |
| title_sort | optimised tool life by partial swarm optimisation |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/2233/1/Optimised_Tool_Life_By_Partial_Swarm_Optimisation.pdf http://umpir.ump.edu.my/id/eprint/2233/ http://www.springerlink.com/content/8727173k5373161p/ |
| url_provider | http://umpir.ump.edu.my/ |