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dc.contributor.authorChaudhari, Rakesh
dc.contributor.authorAyesta Rementeria, Izaro
dc.contributor.authorDoshi, Mikesh
dc.contributor.authorKhanna, Sakshum
dc.contributor.authorPatel, Vivek K.
dc.contributor.authorVora, Jay
dc.contributor.authorLópez de Lacalle Marcaide, Luis Norberto
dc.date.accessioned2023-01-13T16:33:54Z
dc.date.available2023-01-13T16:33:54Z
dc.date.issued2022-12-09
dc.identifier.citationNanomaterials 12(24) : (2022) // Article ID 4394es_ES
dc.identifier.issn2079-4991
dc.identifier.urihttp://hdl.handle.net/10810/59285
dc.description.abstractNickel-based superalloys find their main use in missile engines, atomic devices, investigational aircraft, aerospace engineering, industrial applications, and automotive gas turbines, spacecraft petrochemical tools, steam power, submarines, and broader heating applications. These superalloys impose certain difficulties during the process fabrication owing to their levels of higher hardness. In the current study, the precise machining of Waspaloy was attempted through the wire electrical discharge machining (WEDM) technique. A multi-objective optimization has been performed, and the influence of multi-walled carbon nanotubes (MWCNTs) has been assessed using the passing vehicle search (PVS) algorithm. The effects of machining variables like current, Toff, and Ton were studied using the output measures of material removal rate (MRR), recast layer thickness (RLT), and surface roughness (SR). The Box–Behnken design was applied to generate the experimental matrix. Empirical models were generated which show the interrelationship among the process variables and output measures. The analysis of variance (ANOVA) method was used to check the adequacy, and suitability of the models and to understand the significance of the parameters. The PVS technique was executed for the optimization of MRR, SR, and RLT. Pareto fronts were derived which gives a choice to the user to select any point on the front as per the requirement. To enhance the machining performance, MWCNTs mixed dielectric fluid was utilized, and the effect of these MWCNTs was also analyzed on the surface defects. The use of MWCNTs at 1 g/L enhanced the performance of MRR, SR, and RLT by 65.70%, 50.68%, and 40.96%, respectively. Also, the addition of MWCNTs has shown that the machined surface largely reduces the surface defects.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectnickel-based superalloyes_ES
dc.subjectWaspaloyes_ES
dc.subjectpassing vehicle search algorithmes_ES
dc.subjectwire electrical discharge machining (WEDM)es_ES
dc.subjectMWCNTses_ES
dc.titleImplementation of Passing Vehicle Search Algorithm for Optimization of WEDM Process of Nickel-Based Superalloy Waspaloyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2022-12-22T14:36:00Z
dc.rights.holder© 2022 by the authors.Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2079-4991/12/24/4394es_ES
dc.identifier.doi10.3390/nano12244394
dc.departamentoesIngeniería mecánica
dc.departamentoeuIngeniaritza mekanikoa


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© 2022 by the authors.Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Except where otherwise noted, this item's license is described as © 2022 by the authors.Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).