Mohd Yazid, Abu (2009) Prediction of cutting power in end-milling operation of modified AISI P20 steel. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
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Abstract
The present paper discusses the development of the first and second order models for predicting the cutting power produced in end-milling operation of modified AISI P20 tool steel. The first and second order cutting force equations are developed using the response surface methodology (RSM) to study the effect of four input cutting parameters which is cutting speed, feed rate, radial depth and axial depth of cut on cutting power. The cutting power contours with respect to input parameters are presented and the predictive models analyses are performed with the aid of the statistical software package Minitab. The separate affect of individual input factors and the interaction between these factors are also investigated in this study. In first order model, the increase in the cutting speed, feed rate, axial and radial depths of cut will cause the cutting power to become larger. The received second order equation shows, based on the variance analysis, that the cutting power decreased when cutting speed, federate, axial and radial depth of cut is reduced. The predictive models in this study are believed to produce values of the longitudinal component of the cutting power close to those readings recorded experimentally with a 95% confident interval.
| Item Type: | Undergraduates Project Papers |
|---|---|
| Additional Information: | Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009, SV: DR. KUMARAN A/L KADIRGAMA, NO CD: 4254 |
| Uncontrolled Keywords: | Milling-machines; Torque -- Mathematical models; Response surfaces (Statistics) |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Mechanical Engineering |
| Depositing User: | Rosfadilla Mohamad Zainun |
| Date Deposited: | 30 Sep 2010 08:47 |
| Last Modified: | 03 Nov 2023 01:25 |
| URI: | http://umpir.ump.edu.my/id/eprint/885 |
| Download Statistic: | View Download Statistics |
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