Multi-responses optimization in dry turning of a stainless steel as a key factor in minimum energy

Bagaber, Salem Abdullah and A. R., Yusoff (2018) Multi-responses optimization in dry turning of a stainless steel as a key factor in minimum energy. The International Journal of Advanced Manufacturing Technology, 96 (1-4). pp. 1109-1122. ISSN 0268-3768 (Print), 1433-3015 (Online). (Published)

[img]
Preview
Pdf
Multi-responses optimization in dry turning1.pdf

Download (104kB) | Preview

Abstract

The machining of stainless steel is of interest because of its corrosion resistance and high strength. Usually, this process involves the application of cutting fluids, which negatively affect the environment, ecologic, and health impacts. Therefore, dry machining is the optimum solution, when applicable. Moreover, due to the high cost of cubic boron nitride (CBN) cutting edge, the improved performance is important for hard finish turning. Reducing energy consumption under dry condition should consider for sustainable machining. This study aims to optimize machining parameters (i.e. power consumption and surface roughness) of stainless steel 316 with CBN tool under dry conditions. A multi-responses based on response surface methodology with Box-Behnken design (BBD) was employed to optimize machining parameters. A compound desirability function was applied to determine optimum levels and contribution of parameters. A validation test was conducted to confirm results. This combination of parameters resulted in the minimum power consumption of 6.78% and decreased surface roughness by 13.89%. This method also effectively reduces the environmental effects in terms of noncutting fluid use and less energy required which is affected in sustainable of machining.

Item Type: Article
Additional Information: Indexed by SCOPUS
Uncontrolled Keywords: Turning machine; CBN; Multi-responses; Power consumption Surface roughness
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Manufacturing Engineering
Institute of Postgraduate Studies
Depositing User: P. M. Dr. Ahmad Razlan Yusoff
Date Deposited: 11 Jan 2019 02:49
Last Modified: 15 Oct 2019 08:01
URI: http://umpir.ump.edu.my/id/eprint/23307
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item