Prediction model of cutting force by cutting parameters using response surface methodology in end milling of steel AISI 1020

Prediction model of cutting force by cutting parameters using response surface methodology in end milling of steel AISI 1020

This paper describes mathematically the cutting force prediction model based on different cutting parameters in end milling of steel AISI1020. In this study, Cutting tests were conducted mainly on Vertical Machining Center for end milling of steel using coated TiN insert under dry conditions and ful...

Full description

Bibliographic Details
Main Authors: Patwari, Muhammed Anayet Ullah, Amin, A. K. M. Nurul, Faris, Waleed Fekry, Alam, S.
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
TJ Mechanical engineering and machinery
TS Manufactures
Online Access:http://irep.iium.edu.my/17331/
http://irep.iium.edu.my/17331/
http://irep.iium.edu.my/17331/1/cutting_forces_paper_ID_23_final_patwari_AIMTDR_India.pdf
id iium-17331
recordtype eprints
spelling iium-173312012-04-18T07:20:59Z http://irep.iium.edu.my/17331/ Prediction model of cutting force by cutting parameters using response surface methodology in end milling of steel AISI 1020 Patwari, Muhammed Anayet Ullah Amin, A. K. M. Nurul Faris, Waleed Fekry Alam, S. TJ Mechanical engineering and machinery TS Manufactures This paper describes mathematically the cutting force prediction model based on different cutting parameters in end milling of steel AISI1020. In this study, Cutting tests were conducted mainly on Vertical Machining Center for end milling of steel using coated TiN insert under dry conditions and full immersion cutting. The mathematical model for the cutting force has been developed, in terms of cutting parameters like cutting speed, feed rate, and axial depth of cut using design of experiments and the response surface methodology (RSM). All the individual cutting parameters affect on cutting forces as well as their interaction were also investigated in this study. The second order quadratic equation shows, based on the variance analysis, that the most influential input parameter was the feed rate followed by axial depth of cut and, finally, by the cutting speed. The CCD model developed by RSM using Design Expert package is able to provide accurately the predicted values of cutting force close to actual values found in the experiments. 2008-12 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/17331/1/cutting_forces_paper_ID_23_final_patwari_AIMTDR_India.pdf Patwari, Muhammed Anayet Ullah and Amin, A. K. M. Nurul and Faris, Waleed Fekry and Alam, S. (2008) Prediction model of cutting force by cutting parameters using response surface methodology in end milling of steel AISI 1020. In: The 2nd International & 23rd All India Manufacturing Technology Design and Research Conference, 15 - 17 December 2008, Chennai, India. http://www.aimtdr2008.iitm.ac.in/
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle TJ Mechanical engineering and machinery
TS Manufactures
Patwari, Muhammed Anayet Ullah
Amin, A. K. M. Nurul
Faris, Waleed Fekry
Alam, S.
Prediction model of cutting force by cutting parameters using response surface methodology in end milling of steel AISI 1020
description This paper describes mathematically the cutting force prediction model based on different cutting parameters in end milling of steel AISI1020. In this study, Cutting tests were conducted mainly on Vertical Machining Center for end milling of steel using coated TiN insert under dry conditions and full immersion cutting. The mathematical model for the cutting force has been developed, in terms of cutting parameters like cutting speed, feed rate, and axial depth of cut using design of experiments and the response surface methodology (RSM). All the individual cutting parameters affect on cutting forces as well as their interaction were also investigated in this study. The second order quadratic equation shows, based on the variance analysis, that the most influential input parameter was the feed rate followed by axial depth of cut and, finally, by the cutting speed. The CCD model developed by RSM using Design Expert package is able to provide accurately the predicted values of cutting force close to actual values found in the experiments.
format Conference or Workshop Item
author Patwari, Muhammed Anayet Ullah
Amin, A. K. M. Nurul
Faris, Waleed Fekry
Alam, S.
author_facet Patwari, Muhammed Anayet Ullah
Amin, A. K. M. Nurul
Faris, Waleed Fekry
Alam, S.
author_sort Patwari, Muhammed Anayet Ullah
title Prediction model of cutting force by cutting parameters using response surface methodology in end milling of steel AISI 1020
title_short Prediction model of cutting force by cutting parameters using response surface methodology in end milling of steel AISI 1020
title_full Prediction model of cutting force by cutting parameters using response surface methodology in end milling of steel AISI 1020
title_fullStr Prediction model of cutting force by cutting parameters using response surface methodology in end milling of steel AISI 1020
title_full_unstemmed Prediction model of cutting force by cutting parameters using response surface methodology in end milling of steel AISI 1020
title_sort prediction model of cutting force by cutting parameters using response surface methodology in end milling of steel aisi 1020
publishDate 2008
url http://irep.iium.edu.my/17331/
http://irep.iium.edu.my/17331/
http://irep.iium.edu.my/17331/1/cutting_forces_paper_ID_23_final_patwari_AIMTDR_India.pdf
first_indexed 2023-09-18T20:26:10Z
last_indexed 2023-09-18T20:26:10Z
_version_ 1777408431073787904

Similar Items