Tool Life Analysis By Partial Swarm Optimisation
Tool life is one of the main factors to be considered in CNC milling machine. Prediction model and optimum values are very important for the machinist to save number of cutting tools and reduce machining time. The aim of the this paper is to develop the tool life prediction model for P20 tool ste...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2009
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| Online Access: | http://umpir.ump.edu.my/id/eprint/1449/1/2009_P_NAE09_M.M.Noor_K.Kadirgama-conference-.pdf http://umpir.ump.edu.my/id/eprint/1449/ |
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| author | M. M., Noor K., Kadirgama M. S. M., Sani M. M., Rahman M. R. M., Rejab |
| author_facet | M. M., Noor K., Kadirgama M. S. M., Sani M. M., Rahman M. R. M., Rejab |
| author_sort | M. M., Noor |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Tool life is one of the main factors to be considered in CNC milling machine. Prediction
model and optimum values are very important for the machinist to save number of cutting
tools and reduce machining time. The aim of the this paper is to develop the tool life
prediction model for P20 tool steel with aid of statistical method and to determine the
optimisation values using partial swarm optimisation (PSO) for coated carbide cutting tool
under different cutting conditions. By using response surface method, 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. In general, the
results obtained from the mathematical model are in good agreement with that obtained
from the experiment data’s. It was found that the feed rate, cutting speed, axial depth and
radial depth played a major role to determine the tool life. On the other hand, the tool life
increases with the reduction of cutting speed and feed rate. For end-milling of P20 tool
steel, the optimum cutting speed, feed rate, axial depth and radial depth obtained from PSO
are of 100 m/s, 0.1 mm/rev, 1.9596 mm and 2 mm respectively. The optimized tool life of
40.52 min was obtained using the above mentioned parameters. |
| format | Conference or Workshop Item |
| id | my.ump.umpir.1449 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2009 |
| record_format | eprints |
| spelling | my.ump.umpir.14492018-01-23T02:44:04Z http://umpir.ump.edu.my/id/eprint/1449/ Tool Life Analysis By Partial Swarm Optimisation M. M., Noor K., Kadirgama M. S. M., Sani M. M., Rahman M. R. M., Rejab TJ Mechanical engineering and machinery Tool life is one of the main factors to be considered in CNC milling machine. Prediction model and optimum values are very important for the machinist to save number of cutting tools and reduce machining time. The aim of the this paper is to develop the tool life prediction model for P20 tool steel with aid of statistical method and to determine the optimisation values using partial swarm optimisation (PSO) for coated carbide cutting tool under different cutting conditions. By using response surface method, 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. In general, the results obtained from the mathematical model are in good agreement with that obtained from the experiment data’s. It was found that the feed rate, cutting speed, axial depth and radial depth played a major role to determine the tool life. On the other hand, the tool life increases with the reduction of cutting speed and feed rate. For end-milling of P20 tool steel, the optimum cutting speed, feed rate, axial depth and radial depth obtained from PSO are of 100 m/s, 0.1 mm/rev, 1.9596 mm and 2 mm respectively. The optimized tool life of 40.52 min was obtained using the above mentioned parameters. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1449/1/2009_P_NAE09_M.M.Noor_K.Kadirgama-conference-.pdf M. M., Noor and K., Kadirgama and M. S. M., Sani and M. M., Rahman and M. R. M., Rejab (2009) Tool Life Analysis By Partial Swarm Optimisation. In: 6th International Conference on Numerical Analysis in Engineering (NAE2009) , 15 -16 May 2009 , Lombok Island, Mataram City, West Nusa Tenggara Province, Indonesia.. . (Unpublished) (Unpublished) |
| spellingShingle | TJ Mechanical engineering and machinery M. M., Noor K., Kadirgama M. S. M., Sani M. M., Rahman M. R. M., Rejab Tool Life Analysis By Partial Swarm Optimisation |
| title | Tool Life Analysis By Partial Swarm Optimisation |
| title_full | Tool Life Analysis By Partial Swarm Optimisation |
| title_fullStr | Tool Life Analysis By Partial Swarm Optimisation |
| title_full_unstemmed | Tool Life Analysis By Partial Swarm Optimisation |
| title_short | Tool Life Analysis By Partial Swarm Optimisation |
| title_sort | tool life analysis by partial swarm optimisation |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/1449/1/2009_P_NAE09_M.M.Noor_K.Kadirgama-conference-.pdf http://umpir.ump.edu.my/id/eprint/1449/ |
| url_provider | http://umpir.ump.edu.my/ |