Cover Image

Experimental and Numerical Study of Cutting Force in End-Milling Operation Using Statistical Method

The present paper explores the experimental and finite element study to predict the cutting force produced in end-milling operation for modified AISI P20 tool steel using statistical approach. The first order cutting force equations were developed utilizing the response surface methodology (RSM) to...

Full description

Saved in:
Bibliographic Details
Main Authors: K., Kadirgama, M. M., Noor, M. M., Rahman, R. A., Bakar
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/1409/1/2009_P_CIRP_KKadirgama_M.M.Noor-Conference-.pdf
http://umpir.ump.edu.my/id/eprint/1409/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.1409
record_format eprints
spelling my.ump.umpir.14092018-01-24T07:36:21Z http://umpir.ump.edu.my/id/eprint/1409/ Experimental and Numerical Study of Cutting Force in End-Milling Operation Using Statistical Method K., Kadirgama M. M., Noor M. M., Rahman R. A., Bakar TJ Mechanical engineering and machinery The present paper explores the experimental and finite element study to predict the cutting force produced in end-milling operation for modified AISI P20 tool steel using statistical approach. The first order cutting force equations were developed utilizing the response surface methodology (RSM) to study the effect of input cutting parameters including the cutting speed, feed rate, radial depth and axial depth of cut. The explicit code was used to estimate the cutting and thrust forces. It can be seen that the longitudinal component of cutting force predicted by RMS and finite element analysis (FEA) are excellent agreement with the experimental results at 95% of confident interval. It can be observed that the range of the error for both methods within 10% except few and the more error occurred for higher cutting speed. At a level of confidence of 95%, the lack-of-fit F –value of 3.50 is not significant with relative to the pure error and zero order term and the model could fit and adequate. The acquired results show that the axial depth of cut, radial depth of cut and feed rate are strongly related with the cutting force. It can be seen that the increases of cutting force with increases of axial depth of cut, radial depth of cut and feed rate, however, the decreases of cutting speed. The cutting force obtained the highest value about 426 N at cutting speed 100m/min. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1409/1/2009_P_CIRP_KKadirgama_M.M.Noor-Conference-.pdf K., Kadirgama and M. M., Noor and M. M., Rahman and R. A., Bakar (2009) Experimental and Numerical Study of Cutting Force in End-Milling Operation Using Statistical Method. In: 12th Cirp Conference On Modelling Of Machining Operations, 7-8 May 2009 , San Sebastian (Spain). . (Unpublished)
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
K., Kadirgama
M. M., Noor
M. M., Rahman
R. A., Bakar
Experimental and Numerical Study of Cutting Force in End-Milling Operation Using Statistical Method
description The present paper explores the experimental and finite element study to predict the cutting force produced in end-milling operation for modified AISI P20 tool steel using statistical approach. The first order cutting force equations were developed utilizing the response surface methodology (RSM) to study the effect of input cutting parameters including the cutting speed, feed rate, radial depth and axial depth of cut. The explicit code was used to estimate the cutting and thrust forces. It can be seen that the longitudinal component of cutting force predicted by RMS and finite element analysis (FEA) are excellent agreement with the experimental results at 95% of confident interval. It can be observed that the range of the error for both methods within 10% except few and the more error occurred for higher cutting speed. At a level of confidence of 95%, the lack-of-fit F –value of 3.50 is not significant with relative to the pure error and zero order term and the model could fit and adequate. The acquired results show that the axial depth of cut, radial depth of cut and feed rate are strongly related with the cutting force. It can be seen that the increases of cutting force with increases of axial depth of cut, radial depth of cut and feed rate, however, the decreases of cutting speed. The cutting force obtained the highest value about 426 N at cutting speed 100m/min.
format Conference or Workshop Item
author K., Kadirgama
M. M., Noor
M. M., Rahman
R. A., Bakar
author_facet K., Kadirgama
M. M., Noor
M. M., Rahman
R. A., Bakar
author_sort K., Kadirgama
title Experimental and Numerical Study of Cutting Force in End-Milling Operation Using Statistical Method
title_short Experimental and Numerical Study of Cutting Force in End-Milling Operation Using Statistical Method
title_full Experimental and Numerical Study of Cutting Force in End-Milling Operation Using Statistical Method
title_fullStr Experimental and Numerical Study of Cutting Force in End-Milling Operation Using Statistical Method
title_full_unstemmed Experimental and Numerical Study of Cutting Force in End-Milling Operation Using Statistical Method
title_sort experimental and numerical study of cutting force in end-milling operation using statistical method
publishDate 2009
url http://umpir.ump.edu.my/id/eprint/1409/1/2009_P_CIRP_KKadirgama_M.M.Noor-Conference-.pdf
http://umpir.ump.edu.my/id/eprint/1409/
_version_ 1643664398804320256
score 13.211869

Similar Items