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Tool Life Analysis By Partial Swarm Optimisation

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 (Unpublished)

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Muhamad Mat Noor (M. M. Noor) Dr. Kumaran Kadirgama (K. Kadirgama) Profesor Dr. Md. Mustafizur Rahman (M. M. Rahman) Mohd Shahrir Bin Mohd Sani (M. S. M. Sani) Dr. Mohd Ruzaimi Mat Rejab (M. R. M. Rejab)
Uncontrolled Keywords: End-milling, Tool life, response surface method, partial swarm optimisation, cutting speed, feed rate, depth of cut.
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Zairi Ibrahim
Date Deposited: 25 Jul 2011 03:27
Last Modified: 23 Jan 2018 02:44
URI: http://umpir.ump.edu.my/id/eprint/1449
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