Optimization of surface roughness on duplex stainless steel in dry milling

Nurul Hidayah, Razak and Mohammad Rizal, Md Ali (2024) Optimization of surface roughness on duplex stainless steel in dry milling. In: Springer Proceedings in Materials. Innovative Manufacturing, Mechatronics and Mate- rials Forum 2023 (iM3F 2023) , 7 - 8 August 2023 , Pekan, Malaysia. pp. 103-111., 40. ISSN 2662-3161 ISBN 978-981-99-9847-0 (Published)

[img]
Preview
Pdf
Springer Proceedings in Materials - Volume 40.pdf

Download (165kB) | Preview
[img] Pdf
Optimization of Surface Roughness on Duplex Stainless Steel in Dry Milling.pdf
Restricted to Repository staff only

Download (119kB) | Request a copy

Abstract

In manufacturing industry, surface roughness is one of the crucial factors affecting the production costs and machining duplex stainless steel becomes difficult due to its mechanical properties. This study was performed on a duplex stainless steel in dry milling operation using carbide tools. Response surface methodology (RSM) is utilised to identify main cutting parameter that affects the quality of surface roughness as well as optimizing the operation. It is found that feed rate, f contributes to the highest factor affecting the quality of surface roughness, Ra followed by the speed of the cutting, VC and depth-of-cut, DOC. An optimum machining parameters speed of cutting of 78.283 mm/min, rate of feed of 0.100 mm/tooth and axial depth of 0.834 mm is identified as the optimum values.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Coated carbide tool; Duplex stainless steel; Response surface method
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TS Manufactures
Faculty/Division: Faculty of Mechanical & Manufacturing Engineering
Depositing User: Miss Amelia Binti Hasan
Date Deposited: 17 Dec 2024 13:27
Last Modified: 17 Dec 2024 13:27
URI: http://umpir.ump.edu.my/id/eprint/43173
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item