Journal Information
Research Areas
Publication Ethics and Malpractice Statement
To Scholarlink Resource Center
Guidelines for Authors
For Authors
Instructions to Authors
Copyright forms
Submit Manuscript
Call for papers
Guidelines for Reviewers
For Reviewers
Review Forms
Contacts and Support
Support and Contact
List of Issues
Indexing

 

Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)

ISSN:2141-7016

Article Title: Investigating Optimum Parameters Required for Drilling Brass using Response Surface Methodology
by Pius Bamidele Mogaji, and Israel Ajibola Famurewa

Abstract:
This research work determined the optimum parameters required for drilling brass using Response Surface Methodology (RSM) based on L9-A 34-2 fractional factorial design. The brass work piece is of dimension of Length of 200mm, Breadth of 80mm and Thickness of 1.5mm (200mm80mm1.5mm). The following process parameters namely, cutting speed, cutting feed, depth of cut and tool for minimizing surface roughness of brass were considered. Vertical pillar drilling machine of METALIK PK203 model was used for the drilling operation and coupling ultrasonic thickness meter of TM-8810 model was as well used to measure the surface roughness of the work piece after drilling. Analysis of Variance (ANOVA) was carried out to test for the significant level of the process parameters for optimizing surface roughness. The findings revealed that the process parameters has a high significant effect in influencing the response variable at 5% significant level except for tool on a zero variation and that optimum process parameters can be achieved at an intermediate level during drilling operation. It was also discovered that there exist a good agreement between the estimated and experimental results based on the mathematical model formulated.
Keywords: brass; process parameters; response surface methodology (rsm); surface roughness
Download full paper

ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom

 

 

Copyright © Journal of Emerging Trends in Engineering and Applied Sciences 2010