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© 2021 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This article focuses on exploring how the electrical conductivity and densification properties of metallic samples made from aluminum (Al) powders reinforced with 0.5 wt % concentration of multi-walled carbon nanotubes (MWCNTs) and consolidated through spark plasma sintering (SPS) process are affected by the carbon nanotubes dispersion and the Al particles morphology. Experimental characterization tests performed by scanning electron microscopy (SEM) and by energy dispersive spectroscopy (EDS) show that the MWCNTs were uniformly ball-milled and dispersed in the Al surface particles, and undesirable phases were not observed in X-ray diffraction measurements. Furthermore, high densification parts and an improvement of about 40% in the electrical conductivity values were confirmed via experimental tests performed on the produced sintered samples. These results elucidate that modifying the powder morphology using the ball-milling technique to bond carbon nanotubes into the Al surface particles aids the ability to obtain highly dense parts with increasing electrical conductivity properties.

Details

Title
Enhancement of Electrical Conductivity of Aluminum-Based Nanocomposite Produced by Spark Plasma Sintering
Author
Ulloa-Castillo, Nicolás A 1   VIAFID ORCID Logo  ; Hernández-Maya, Roberto 2 ; Islas-Urbano, Jorge 1 ; Martínez-Romero, Oscar 1   VIAFID ORCID Logo  ; Segura-Cárdenas, Emmanuel 1   VIAFID ORCID Logo  ; Elías-Zúñiga, Alex 1   VIAFID ORCID Logo 

 Tecnologico de Monterrey, Department of Mechanical Engineering and Advanced Materials, School of Engineering and Sciences, Av. Eugenio Garza Sada Sur 2501, Monterrey 64849, Nuevo León, Mexico; [email protected] (N.A.U.-C.); [email protected] (J.I.-U.); [email protected] (E.S.-C.) 
 Siemens, Research and Development Department, Libramiento Arco Vial Poniente Km 4.2, Santa Catarina 66350, Nuevo León, Mexico; [email protected] 
First page
1150
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
20794991
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2532189178
Copyright
© 2021 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.