Prediction Modelling Of Power And Torque In End-Milling

K., Kadirgama and M. M., Noor and M. M., Rahman and R. A., Bakar and M. S. M., Sani (2009) Prediction Modelling Of Power And Torque In End-Milling. In: 11th International Conference on Optimum Design of Structures and Materials in Engineering, OPTI09 , 8 – 10 June 2009 , Algarve, Portugal. . (Unpublished)

PDF (Word to PDF conversion (via antiword) conversion from application/msword to application/pdf)

Download (639kB)


This paper presents the development of mathematical models for torque and power in milling 618 stainless steel using coated carbides cutting tool. Response surface method was use to predict the effect of power and torque in the end-milling. From the model, the relationship between the manufacturing process factors including the cutting speed, feed rate, axial depth and radial depth with the responses such as torque and power can be developed. Beside the relationship, the effect of the factors can be investigated from the equation developed. It can seen that the torque increases with decreases of cutting speed while increase of the feed rate, axial depth and radial depth. The acquired results also shown that the power increases with the increases of cutting speed, feed rate, axial depth and radial depth .It can be found that the second order is more accurate based on the variance analysis and the predicted value is closely match with the experimental result. Third- and fourth- order model generated for both response to investigate the 3- and 4-way interaction between the factors. The third and fourth order model shows that 3- and 4-way interaction found less significant for the variables.

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) Abu Bakar Rosli (R. A. Bakar) Mohd Shahrir Bin Mohd Sani (M. S. M. Sani)
Uncontrolled Keywords: Torque, power, end-milling, response surface method
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Mr. Zairi Ibrahim
Date Deposited: 24 Aug 2011 04:03
Last Modified: 22 Jan 2018 07:19
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item