Development of Regression Equation for Surface Finish and Analysis of Surface Integrity in EDM

Khan, Md. Ashikur Rahman and M. M., Rahman (2013) Development of Regression Equation for Surface Finish and Analysis of Surface Integrity in EDM. International Journal of Mechanical, Aerospace, Industrial and Mechatronics Engineering, 7 (3). pp. 178-183. (Published)

[img] PDF
Development_of_Regression_Equation_for_Surface_Finish_and_Analysis_of_Surface_Integrity_in_EDM.pdf - Published Version
Restricted to Repository staff only

Download (1MB) | Request a copy

Abstract

Electrical discharge machining (EDM) is a relatively modern machining process having distinct advantages over other machining processes and can machine Ti-alloys effectively. The present study emphasizes the features of the development of regression equation based on response surface methodology (RSM) for correlating the interactive and higher-order influences of machining parameters on surface finish of Titanium alloy Ti-6Al-4V. The process parameters selected in this study are discharge current, pulse on time, pulse off time and servo voltage. Machining has been accomplished using negative polarity of Graphite electrode. Analysis of variance is employed to ascertain the adequacy of the developed regression model. Experiments based on central composite of response surface method are carried out. Scanning electron microscopy (SEM) analysis was performed to investigate the surface topography of the EDMed job. The results evidence that the proposed regression equation can predict the surface roughness effectively. The lower ampere and short pulse on time yield better surface finish.

Item Type: Article
Additional Information: Prof. Dr. Md Mustafizur Rahman (M. M. Rahman)
Uncontrolled Keywords: Graphite electrode, regression model, response surface methodology, surface roughness.
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 23 Sep 2014 03:16
Last Modified: 25 Jan 2018 03:51
URI: http://umpir.ump.edu.my/id/eprint/6457
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item