Informatics Publishing Limited

J. Edwin Raja Dhas ¹, S. Kumanan ¹

Affiliations
1 Department of Production Engineering, National Institute of Technology, Tiruchirapalli, IN

Abstract

Submerged Arc Welding (SAW) is a metal joining technique widely used in heavy fabrication industries due to its inherent properties. The welding quality and productivity is controlled by the process parameters. The process planners use different techniques to estimate the influence of the welding parameters (welding current, arc voltage, welding speed and electrode stickout) on bead geometry. This paper discusses about the design of experiments and the development of Multiregression model to predict the weld bead geometry. The developed model determines those variables which will give the desired set of bead geometry (weld bead width, weld reinforcement, weld bead penetration, reinforcement area, and area of penetration and bead dilution).

Full Text

     

G. Ramanan ¹, J. Edwin Raja Dhas ², M. Ramachandran ³

Affiliations
1 Dept. of Aeronautical Engg., Noorul Islam University, Kanyakumari, IN
2 Dept. of Automobile Engg., Noorul Islam University, Kanyakumari, IN
3 Dept. of Mech. Engg., MPSTME, SVKM’S NMIMS, Dhule, Maharashtra, IN

Abstract

In automobile industries, usage of unconventional machining is increased due to their precision and accuracy. This research work is planned to upgrade the Wire Electric Discharge Machining (WEDM) process parameters by considering the impact of discharge current, pulse on time, pulse off time and servo speed rate. Tests have been led with these parameters for the measurement of metal removal rate and surface roughness for each of the trial run. This information has been used to fit a quadratic numerical model. Predicted information has been used as a graphical representation for demonstrating the impact of the parameters on chose reactions. Predicted information given by the models has been utilized as a part of an ideal parametric mix to accomplish the unrealistic yield of the procedure. Response surface method with grey relational analysis has been utilized for enhancement. The ideal value has been checked to the predicted value from the confirmation tests.

Keywords

Wire Electric Discharge Machining, Response Surface Methodology, Surface Roughness, Metal Matrix Composites.

Full Text