Cover Image

Precision multi-response optimization of performance characteristics in wire-cut electric discharge machining (WEDM) process / I. Nayak and J. Rana

In this paper, an effective two stage multi-response optimization technique (i.e. grey relational analysis coupled with Taguchi technique) has been applied to achieve a better performance characteristic in wire-cut electrical discharge machining (WEDM) process. A zinc coated brass wire of 0.25 mm di...

Full description

Saved in:
Bibliographic Details
Main Authors: Nayak, I., Rana, J.
Format: Article
Language:English
Published: Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2020
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://ir.uitm.edu.my/id/eprint/36583/1/36583.pdf
http://ir.uitm.edu.my/id/eprint/36583/
https://jmeche.uitm.edu.my/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.36583
record_format eprints
spelling my.uitm.ir.365832020-11-12T01:10:51Z http://ir.uitm.edu.my/id/eprint/36583/ Precision multi-response optimization of performance characteristics in wire-cut electric discharge machining (WEDM) process / I. Nayak and J. Rana Nayak, I. Rana, J. TJ Mechanical engineering and machinery In this paper, an effective two stage multi-response optimization technique (i.e. grey relational analysis coupled with Taguchi technique) has been applied to achieve a better performance characteristic in wire-cut electrical discharge machining (WEDM) process. A zinc coated brass wire of 0.25 mm diameter was used as tool electrode for machining a D2 tool steel specimen. Experiments were planned according to Taguchi’s L9 orthogonal array under different cutting parameters such as: pulse on time (TON), pulse off time (TOFF), peak current (IP) and wire feed rate (WF). The three quality characteristics (i.e. performance characteristics), namely cutting rate, kerf width and surface roughness have been simultaneously optimized in two different stages. It wasobserved that the cutting speed is increased by 24.60% compared to first stage/primary optimization process. From the analysis of variance (ANOVA), pulse-on time is found to be the most influencing cutting parameter having 74.91% contribution towards overall performance of the WEDM process. Finally,a confirmatory experiment has been carried out at optimum set of cutting parameters obtained from the precision optimization stage to identify the effectiveness of this proposed method. It was observed that the predicted values of the responses obtained from regression models were in good agreement with the experimental findings. Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2020 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/36583/1/36583.pdf Nayak, I. and Rana, J. (2020) Precision multi-response optimization of performance characteristics in wire-cut electric discharge machining (WEDM) process / I. Nayak and J. Rana. Journal of Mechanical Engineering (JMechE), 17 (3). pp. 39-54. ISSN 1823-5514 ; 2550-164X https://jmeche.uitm.edu.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Nayak, I.
Rana, J.
Precision multi-response optimization of performance characteristics in wire-cut electric discharge machining (WEDM) process / I. Nayak and J. Rana
description In this paper, an effective two stage multi-response optimization technique (i.e. grey relational analysis coupled with Taguchi technique) has been applied to achieve a better performance characteristic in wire-cut electrical discharge machining (WEDM) process. A zinc coated brass wire of 0.25 mm diameter was used as tool electrode for machining a D2 tool steel specimen. Experiments were planned according to Taguchi’s L9 orthogonal array under different cutting parameters such as: pulse on time (TON), pulse off time (TOFF), peak current (IP) and wire feed rate (WF). The three quality characteristics (i.e. performance characteristics), namely cutting rate, kerf width and surface roughness have been simultaneously optimized in two different stages. It wasobserved that the cutting speed is increased by 24.60% compared to first stage/primary optimization process. From the analysis of variance (ANOVA), pulse-on time is found to be the most influencing cutting parameter having 74.91% contribution towards overall performance of the WEDM process. Finally,a confirmatory experiment has been carried out at optimum set of cutting parameters obtained from the precision optimization stage to identify the effectiveness of this proposed method. It was observed that the predicted values of the responses obtained from regression models were in good agreement with the experimental findings.
format Article
author Nayak, I.
Rana, J.
author_facet Nayak, I.
Rana, J.
author_sort Nayak, I.
title Precision multi-response optimization of performance characteristics in wire-cut electric discharge machining (WEDM) process / I. Nayak and J. Rana
title_short Precision multi-response optimization of performance characteristics in wire-cut electric discharge machining (WEDM) process / I. Nayak and J. Rana
title_full Precision multi-response optimization of performance characteristics in wire-cut electric discharge machining (WEDM) process / I. Nayak and J. Rana
title_fullStr Precision multi-response optimization of performance characteristics in wire-cut electric discharge machining (WEDM) process / I. Nayak and J. Rana
title_full_unstemmed Precision multi-response optimization of performance characteristics in wire-cut electric discharge machining (WEDM) process / I. Nayak and J. Rana
title_sort precision multi-response optimization of performance characteristics in wire-cut electric discharge machining (wedm) process / i. nayak and j. rana
publisher Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM)
publishDate 2020
url http://ir.uitm.edu.my/id/eprint/36583/1/36583.pdf
http://ir.uitm.edu.my/id/eprint/36583/
https://jmeche.uitm.edu.my/
_version_ 1685651424420036608
score 13.211869

Similar Items