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Procedia Materials Science
Article . 2015 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Procedia Materials Science
Article . 2015
License: CC BY NC ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Parametric Optimization in Machining of Nimonic-263 Alloy using RSM and Particle Swarm Optimization

Authors: Sreenivasa Rao, M.; Venkaiah, N.;

Parametric Optimization in Machining of Nimonic-263 Alloy using RSM and Particle Swarm Optimization

Abstract

AbstractMachining of nickel based alloys is one of the challenging tasks in the recent past. Wire Electrical Discharge Machine (WEDM) is an advanced machine tool, extensively used to machine hard to cut materials like nickel, titanium and other super alloys. Selection of WEDM process parameters to yield the desired level of performance measures like Material removal Rate (MRR) and Surface Roughness (SR) is crucial from quality and economic view points. In the present work an attempt has been made to investigate the effect of WEDM process parameters such as pulse on time, pulse off time, peak current and servo voltage in machining of Nimonic-263 alloy. A central composite face centered design of Response Surface Methodology (RSM) has been used for experimental plan. The significance of process parameters are estimated by ANOVA analysis. Mathematical prediction models are developed for MRR and SR by RSM. Particle Swarm Optimization (PSO) algorithm has been used to optimize the performances of the process. Results of RSM and PSO technique are compared. It has been observed that, performance of the PSO is better than that of RSM. The machining data generated for the Nimonic-263 alloy will be useful for the industry.

Keywords

Nimonic-263 alloy, ANOVA, RSM, PSO, WEDM

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
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