SURFACE MORPHOLOGY AND MACHINABILITY ASPECTS IN WIRE-EDM OF INCOLOY-800 SUPERALLOY: AN EXPERIMENTAL EVALUATION AND MICROSTRUCTURE ANALYSIS

Author:

SINGH RAVI PRATAP1ORCID,KATARIA RAVINDER,ABIDI MUSTUFA HAIDER,RANJAN SUDHIR2,GUPTA ASHUTOSH KUMAR1,AL-AHMARI ABDULRAHMAN3

Affiliation:

1. Department of Industrial and Production Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab 144011, India

2. Department of Mechanical & Industrial Engineering, IIT Roorkee, Uttarakhand 247667, India

3. Industrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia

Abstract

This study investigated various performance measures — material removal rate (MRR), surface roughness (SR), and dimensional deviation (DD) — in wire cut electrical discharge machining of the Incoloy-800 superalloy under the effect of purposefully varied process inputs. Superalloys comprise a bright category of alloys that possess excellent mechanical strength at elevated temperatures, superior surface stability, magnificent creep resistance, and corrosion and oxidation resistance. Analysis of variance was performed to reveal influential and crucial inputs for machining measures; results were interpreted and modeled statistically. After conducting the experimental runs, the novel attempt has further been made to conduct the multi-response optimization with the desirability method and the teaching-learning-based optimization (TLBO) algorithm to develop the best process setting for optimizing all considered measures jointly. Furthermore, machined sample’s microstructure analysis was conducted with the scanning electron microscopy (SEM) analysis. The optimized parametric setting was obtained as follows: pulse on time: 2 [Formula: see text]s, pulse off time: 4 [Formula: see text]s, peak current: 2 A, and wire feed rate: 5 m/min. Obtained experimental values for MRR, SR, and DD were 0.936 mm/min, 3.797 [Formula: see text]m, and 0.084 mm, respectively, with the combined desirability value of 0.601. Optimization values of MRR, SR, and DD through the TLBO method varied from predicted values by 3.01%, 6.86%, and 6.32%, respectively.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Materials Chemistry,Surfaces, Coatings and Films,Surfaces and Interfaces,Condensed Matter Physics

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