Mathematical Modeling for Surface Roughness When Milling Aisi 304 Stainless Steel

Mathematical Modeling for Surface Roughness When Milling Aisi 304 Stainless Steel

Stainless steel was used for many engineering applications. The optimum parameters needs to be identify to save the cutting tool usage and increase productivity. The purpose of this study is to develop the surface roughness mathematical model for AISI 304 stainless steel when milling using TiN (CVD...

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Main Authors: K., Kadirgama, M., Yogeswaran, S., Thiruchelvam, M. M., Rahman
Format: Article
Language:English
Published: Iceland Journal of Life Sciences 2014
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/5270/
http://umpir.ump.edu.my/id/eprint/5270/
http://umpir.ump.edu.my/id/eprint/5270/1/CJME.pdf
id ump-5270
recordtype eprints
spelling ump-52702018-01-25T03:12:05Z http://umpir.ump.edu.my/id/eprint/5270/ Mathematical Modeling for Surface Roughness When Milling Aisi 304 Stainless Steel K., Kadirgama M., Yogeswaran S., Thiruchelvam M. M., Rahman TJ Mechanical engineering and machinery Stainless steel was used for many engineering applications. The optimum parameters needs to be identify to save the cutting tool usage and increase productivity. The purpose of this study is to develop the surface roughness mathematical model for AISI 304 stainless steel when milling using TiN (CVD) carbide tool. The milling process was done under various cutting condition which is cutting speed (1500, 2000 and 2500 rpm), feed rate (0.02, 0.03 and 0.04 mm/tooth) and axial depth (0.1, 0.2 and 0.3 mm). The first order model and quadratic model have been developed using Response Surface Method (RSM) with confident level 95%. The prediction models were comparing with the actual experimental results. It is found that quadratic model much fit the experimental result compare to linear model. In general, the results obtained from the mathematical models were in good agreement with those obtained from the machining experiments. Besides that, it is shown that the influence of cutting speed and feed rate are much higher on surface roughness compare to depth of cut. The optimum cutting speed, feed rate and axial depth is 2500 rpm, 0.0212 mm/tooth and 0.3mm respectively. Besides that, continues chip is produced at cutting speed 2500 rpm meanwhile discontinues chip produced at cutting speed 1500 rpm. Iceland Journal of Life Sciences 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5270/1/CJME.pdf K., Kadirgama and M., Yogeswaran and S., Thiruchelvam and M. M., Rahman (2014) Mathematical Modeling for Surface Roughness When Milling Aisi 304 Stainless Steel. Jokull Journal, 65 (4). pp. 1-9. ISSN 0449-0576 http://jokulljournal.com/index.html
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., Yogeswaran
S., Thiruchelvam
M. M., Rahman
Mathematical Modeling for Surface Roughness When Milling Aisi 304 Stainless Steel
description Stainless steel was used for many engineering applications. The optimum parameters needs to be identify to save the cutting tool usage and increase productivity. The purpose of this study is to develop the surface roughness mathematical model for AISI 304 stainless steel when milling using TiN (CVD) carbide tool. The milling process was done under various cutting condition which is cutting speed (1500, 2000 and 2500 rpm), feed rate (0.02, 0.03 and 0.04 mm/tooth) and axial depth (0.1, 0.2 and 0.3 mm). The first order model and quadratic model have been developed using Response Surface Method (RSM) with confident level 95%. The prediction models were comparing with the actual experimental results. It is found that quadratic model much fit the experimental result compare to linear model. In general, the results obtained from the mathematical models were in good agreement with those obtained from the machining experiments. Besides that, it is shown that the influence of cutting speed and feed rate are much higher on surface roughness compare to depth of cut. The optimum cutting speed, feed rate and axial depth is 2500 rpm, 0.0212 mm/tooth and 0.3mm respectively. Besides that, continues chip is produced at cutting speed 2500 rpm meanwhile discontinues chip produced at cutting speed 1500 rpm.
format Article
author K., Kadirgama
M., Yogeswaran
S., Thiruchelvam
M. M., Rahman
author_facet K., Kadirgama
M., Yogeswaran
S., Thiruchelvam
M. M., Rahman
author_sort K., Kadirgama
title Mathematical Modeling for Surface Roughness When Milling Aisi 304 Stainless Steel
title_short Mathematical Modeling for Surface Roughness When Milling Aisi 304 Stainless Steel
title_full Mathematical Modeling for Surface Roughness When Milling Aisi 304 Stainless Steel
title_fullStr Mathematical Modeling for Surface Roughness When Milling Aisi 304 Stainless Steel
title_full_unstemmed Mathematical Modeling for Surface Roughness When Milling Aisi 304 Stainless Steel
title_sort mathematical modeling for surface roughness when milling aisi 304 stainless steel
publisher Iceland Journal of Life Sciences
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/5270/
http://umpir.ump.edu.my/id/eprint/5270/
http://umpir.ump.edu.my/id/eprint/5270/1/CJME.pdf
first_indexed 2023-09-18T22:00:31Z
last_indexed 2023-09-18T22:00:31Z
_version_ 1777414366994366464

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