High Speed CNC Machining of AIsI 304 Stainless Steel; Optimization of Process Parameters

General Information

ISSN: 2278-0149 (Online)
Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
DOI: 10.18178/ijmerr
Managing Editor: Ms. Jennifer Zeng
Abstracting/Indexing: ESCI (Web of Science), Scopus, CNKI, Google Scholar, Crossref, etc.
E-mail questions to IJMERR Editorial Office.
Acceptance Rate: 25%
APC: 1000 USD
Average Days to Accept: 78 days
Journal Metrics:

2.8

2023CiteScore

50th percentile

Article Metrics in Dimensions

Editor-in-Chief

Prof Richard (Chunhui) Yang

Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.

What's New

2024-10-25

All papers published in Vol. 13, No. 3&No. 4 have been indexed by SCOPUS.

2024-10-25

Volume 13, No. 5 has been published online.

2024-09-24

IJMERR has launched a new topical collection "Recent Innovations in Mechanical Vibrations".

Home > Articles > All Issues > 2012 > Volume 1, No. 3, October 2012 >

V S Thangarasu and R Sivasubramanian

Department of Mechanical Engineering, Coimbatore Institute of Technology, Coimbatore 641014, India.

Abstract—This study highlights optimization of CNC high speed milling process parameters to provide better surface finish as well as high material removal rate. The surface finish and material removal rate have been identified as quality attributes and are assumed to be directly related to productivity. In order to build up a bridge between quality and productivity, and attempt made to optimize aforesaid quality attributes in small and medium size companies involved with heterogenic product demand. This invites a multi-objective optimization problem which has been solved by DOE based genetic algorithm optimization procedure. The response surface method of Box- Benkhen method has been adapted to get multi objective optimization problem. The methodology found to be useful in simultaneous optimization of more number of responses.

Index Terms—CNC milling, Optimization, Surface finish, DOE, ANOVA, Material removal rate, Box-benkhen method, Stainless steel

Cite: V S Thangarasu and R Sivasubramanian, "High Speed CNC Machining of AIsI 304 Stainless Steel; Optimization of Process Parameters," International Journal of Mechanical Engineering and Robotics Research, Vol.1, No.3, pp. 9-21, October 2012.