Prediction Of Cutting Force By Numerical Solution And Statistic Method In End-Milling Operation.

The present paper discusses the development of the first order models and finite element analysis for predicting the cutting force produced in end-milling operation of modified AISI P20 tool steel. The first order cutting force equations are developed using the response surface methodology (RSM)...

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Main Authors:	K., Kadirgama, M. M., Noor, N. M. Zuki, N. M., M. R. M., Rejab
Format:	Conference or Workshop Item
Language:	English
Published:	2008
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/1277/ http://umpir.ump.edu.my/id/eprint/1277/1/Prediction_Of_Cutting_Force_By_Numerical_Solution_And_Statistic_Method_In_End-Milling_Operation.pdf

id	ump-1277
recordtype	eprints
spelling	ump-12772018-01-08T04:31:45Z http://umpir.ump.edu.my/id/eprint/1277/ Prediction Of Cutting Force By Numerical Solution And Statistic Method In End-Milling Operation. K., Kadirgama M. M., Noor N. M. Zuki, N. M. M. R. M., Rejab TJ Mechanical engineering and machinery The present paper discusses the development of the first order models and finite element analysis for predicting the cutting force produced in end-milling operation of modified AISI P20 tool steel. The first order cutting force equations are developed using the response surface methodology (RSM) to study the effect of four input cutting parameters (cutting speed, feed rate, radial depth and axial depth of cut) on cutting force. The cutting force contours with respect to input parameters are shown and the predictive models analyses are performed with the aid of the statistical software package Minitab. The predictive models in this study are believed to produce values of the longitudinal component of the cutting force close to those readings recorded experimentally with a 95% confident interval. Explicit code Thirdwave AdvantEdge has been used to estimate cutting and thrust forces. These estimated results are compared with experiments performed in this study and predictive model developed in this paper. The result from the simulation results are agreed with experimental value and predictive value from RSM. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1277/1/Prediction_Of_Cutting_Force_By_Numerical_Solution_And_Statistic_Method_In_End-Milling_Operation.pdf K., Kadirgama and M. M., Noor and N. M. Zuki, N. M. and M. R. M., Rejab (2008) Prediction Of Cutting Force By Numerical Solution And Statistic Method In End-Milling Operation. In: Malaysian Science and Technology Congress, MSTC08, 16-17 Dec 2008 , KLCC, Kuala Lumpur. . (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery K., Kadirgama M. M., Noor N. M. Zuki, N. M. M. R. M., Rejab Prediction Of Cutting Force By Numerical Solution And Statistic Method In End-Milling Operation.
description	The present paper discusses the development of the first order models and finite element analysis for predicting the cutting force produced in end-milling operation of modified AISI P20 tool steel. The first order cutting force equations are developed using the response surface methodology (RSM) to study the effect of four input cutting parameters (cutting speed, feed rate, radial depth and axial depth of cut) on cutting force. The cutting force contours with respect to input parameters are shown and the predictive models analyses are performed with the aid of the statistical software package Minitab. The predictive models in this study are believed to produce values of the longitudinal component of the cutting force close to those readings recorded experimentally with a 95% confident interval. Explicit code Thirdwave AdvantEdge has been used to estimate cutting and thrust forces. These estimated results are compared with experiments performed in this study and predictive model developed in this paper. The result from the simulation results are agreed with experimental value and predictive value from RSM.
format	Conference or Workshop Item
author	K., Kadirgama M. M., Noor N. M. Zuki, N. M. M. R. M., Rejab
author_facet	K., Kadirgama M. M., Noor N. M. Zuki, N. M. M. R. M., Rejab
author_sort	K., Kadirgama
title	Prediction Of Cutting Force By Numerical Solution And Statistic Method In End-Milling Operation.
title_short	Prediction Of Cutting Force By Numerical Solution And Statistic Method In End-Milling Operation.
title_full	Prediction Of Cutting Force By Numerical Solution And Statistic Method In End-Milling Operation.
title_fullStr	Prediction Of Cutting Force By Numerical Solution And Statistic Method In End-Milling Operation.
title_full_unstemmed	Prediction Of Cutting Force By Numerical Solution And Statistic Method In End-Milling Operation.
title_sort	prediction of cutting force by numerical solution and statistic method in end-milling operation.
publishDate	2008
url	http://umpir.ump.edu.my/id/eprint/1277/ http://umpir.ump.edu.my/id/eprint/1277/1/Prediction_Of_Cutting_Force_By_Numerical_Solution_And_Statistic_Method_In_End-Milling_Operation.pdf
first_indexed	2023-09-18T21:54:17Z
last_indexed	2023-09-18T21:54:17Z
_version_	1777413974740959232

Prediction Of Cutting Force By Numerical Solution And Statistic Method In End-Milling Operation.

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