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Prediction of cutting force in end-milling operation of modified AISI P20 tool steel

This thesis discuss the development of the first and second order models for predicting the cutting force 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 effe...

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Main Author: Muhamad Nazumi, Basuki
Format: Undergraduates Project Papers
Language:English
Published: 2009
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/1007/1/Muhamad_Nazumi_Basuki.pdf
http://umpir.ump.edu.my/id/eprint/1007/
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spelling my.ump.umpir.10072021-06-21T08:37:10Z http://umpir.ump.edu.my/id/eprint/1007/ Prediction of cutting force in end-milling operation of modified AISI P20 tool steel Muhamad Nazumi, Basuki TJ Mechanical engineering and machinery This thesis discuss the development of the first and second order models for predicting the cutting force 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 force. The cutting force 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 decrease of cutting speed along with the increase in the cutting speed, feed rate, axial and radial depths of cut will cause the cutting force to become larger. The received second order equation shows, based on the variance analysis, that the cutting force increased when federate and radial depth of cut is raised. However, the cutting force increased with the slightly reduce of axial depth and cutting speed value. 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. 2009-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1007/1/Muhamad_Nazumi_Basuki.pdf Muhamad Nazumi, Basuki (2009) Prediction of cutting force in end-milling operation of modified AISI P20 tool steel. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Muhamad Nazumi, Basuki
Prediction of cutting force in end-milling operation of modified AISI P20 tool steel
description This thesis discuss the development of the first and second order models for predicting the cutting force 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 force. The cutting force 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 decrease of cutting speed along with the increase in the cutting speed, feed rate, axial and radial depths of cut will cause the cutting force to become larger. The received second order equation shows, based on the variance analysis, that the cutting force increased when federate and radial depth of cut is raised. However, the cutting force increased with the slightly reduce of axial depth and cutting speed value. 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.
format Undergraduates Project Papers
author Muhamad Nazumi, Basuki
author_facet Muhamad Nazumi, Basuki
author_sort Muhamad Nazumi, Basuki
title Prediction of cutting force in end-milling operation of modified AISI P20 tool steel
title_short Prediction of cutting force in end-milling operation of modified AISI P20 tool steel
title_full Prediction of cutting force in end-milling operation of modified AISI P20 tool steel
title_fullStr Prediction of cutting force in end-milling operation of modified AISI P20 tool steel
title_full_unstemmed Prediction of cutting force in end-milling operation of modified AISI P20 tool steel
title_sort prediction of cutting force in end-milling operation of modified aisi p20 tool steel
publishDate 2009
url http://umpir.ump.edu.my/id/eprint/1007/1/Muhamad_Nazumi_Basuki.pdf
http://umpir.ump.edu.my/id/eprint/1007/
_version_ 1703960623631564800
score 13.211869

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