Computational Simulation of Stress Distribution in a Magnesium Matrix Composite Reinforced with Carbon Nanotubes

Mateo Duarte; Miguel Alvarez; Andres López; Luis Portillo; Gustavo Suárez; Juliana Niño

doi:10.1007/978-3-030-61834-6_32

Computational Simulation of Stress Distribution in a Magnesium Matrix Composite Reinforced with Carbon Nanotubes

Mateo Duarte, Miguel Alvarez, Andres López, Luis Portillo, Gustavo Suárez, Juliana Niño

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

Resumen

The development of composite materials has brought with it global questions about its behavior on materials science where the computational simulations have the methodology to increase the knowledge about them. To exemplify the usefulness of the computational methodologies in simulations of mechanical characterization, one of the newest composite materials is used in a tensile test, this material is a magnesium matrix composite reinforcement with carbon nanotubes (CNTs). Furthermore was implemented a constitutive model to a linear-elastic behavior with the inclusion of Elasticity Modulus and Poisson Ratio properties. The computational model has been developed in Matlab software and includes the design of five reticules with 2500 nodes and insertions of 0%, 1%, 4%, 8%, and 12% of carbon nanotubes. Additionally, the finite difference method (FDM) has been applied and showed that carbon nanotubes improve mechanical properties of monolithic magnesium alloys achieving an 80% decrease in the displacement of the composite, also ensure the pertinence of the computational simulations for the future of the materials science.

Idioma original	Inglés
Título de la publicación alojada	Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings
Editores	Juan Carlos Figueroa-García, Fabián Steven Garay-Rairán, Germán Jairo Hernández-Pérez, Yesid Díaz-Gutierrez
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	375-386
Número de páginas	12
ISBN (versión impresa)	9783030618339
DOI	https://doi.org/10.1007/978-3-030-61834-6_32
Estado	Publicada - 2020
Evento	7th Workshop on Engineering Applications, WEA 2020 - Bogota, Colombia Duración: 7 oct. 2020 → 9 oct. 2020

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1274 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	7th Workshop on Engineering Applications, WEA 2020
País/Territorio	Colombia
Ciudad	Bogota
Período	7/10/20 → 9/10/20

Nota bibliográfica

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

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Artículos de investigación con calidad Q4

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10.1007/978-3-030-61834-6_32

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Duarte, M., Alvarez, M., López, A., Portillo, L., Suárez, G., & Niño, J. (2020). Computational Simulation of Stress Distribution in a Magnesium Matrix Composite Reinforced with Carbon Nanotubes. En J. C. Figueroa-García, F. S. Garay-Rairán, G. J. Hernández-Pérez, & Y. Díaz-Gutierrez (Eds.), Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings (pp. 375-386). (Communications in Computer and Information Science; Vol. 1274 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-61834-6_32

Duarte, Mateo ; Alvarez, Miguel ; López, Andres et al. / Computational Simulation of Stress Distribution in a Magnesium Matrix Composite Reinforced with Carbon Nanotubes. Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings. editor / Juan Carlos Figueroa-García ; Fabián Steven Garay-Rairán ; Germán Jairo Hernández-Pérez ; Yesid Díaz-Gutierrez. Springer Science and Business Media Deutschland GmbH, 2020. pp. 375-386 (Communications in Computer and Information Science).

@inproceedings{d943239eee4c4572966937a7618cc715,

title = "Computational Simulation of Stress Distribution in a Magnesium Matrix Composite Reinforced with Carbon Nanotubes",

abstract = "The development of composite materials has brought with it global questions about its behavior on materials science where the computational simulations have the methodology to increase the knowledge about them. To exemplify the usefulness of the computational methodologies in simulations of mechanical characterization, one of the newest composite materials is used in a tensile test, this material is a magnesium matrix composite reinforcement with carbon nanotubes (CNTs). Furthermore was implemented a constitutive model to a linear-elastic behavior with the inclusion of Elasticity Modulus and Poisson Ratio properties. The computational model has been developed in Matlab software and includes the design of five reticules with 2500 nodes and insertions of 0%, 1%, 4%, 8%, and 12% of carbon nanotubes. Additionally, the finite difference method (FDM) has been applied and showed that carbon nanotubes improve mechanical properties of monolithic magnesium alloys achieving an 80% decrease in the displacement of the composite, also ensure the pertinence of the computational simulations for the future of the materials science.",

keywords = "Carbon nanotubes, Computational simulation, Magnesium, Matlab, Metal matrix composite",

author = "Mateo Duarte and Miguel Alvarez and Andres L{\'o}pez and Luis Portillo and Gustavo Su{\'a}rez and Juliana Ni{\~n}o",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 7th Workshop on Engineering Applications, WEA 2020 ; Conference date: 07-10-2020 Through 09-10-2020",

year = "2020",

doi = "10.1007/978-3-030-61834-6_32",

language = "Ingl{\'e}s",

isbn = "9783030618339",

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publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "375--386",

editor = "Figueroa-Garc{\'i}a, {Juan Carlos} and Garay-Rair{\'a}n, {Fabi{\'a}n Steven} and Hern{\'a}ndez-P{\'e}rez, {Germ{\'a}n Jairo} and Yesid D{\'i}az-Gutierrez",

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Duarte, M, Alvarez, M, López, A, Portillo, L, Suárez, G & Niño, J 2020, Computational Simulation of Stress Distribution in a Magnesium Matrix Composite Reinforced with Carbon Nanotubes. En JC Figueroa-García, FS Garay-Rairán, GJ Hernández-Pérez & Y Díaz-Gutierrez (eds.), Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings. Communications in Computer and Information Science, vol. 1274 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 375-386, 7th Workshop on Engineering Applications, WEA 2020, Bogota, Colombia, 7/10/20. https://doi.org/10.1007/978-3-030-61834-6_32

Computational Simulation of Stress Distribution in a Magnesium Matrix Composite Reinforced with Carbon Nanotubes. / Duarte, Mateo; Alvarez, Miguel; López, Andres et al.
Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings. ed. / Juan Carlos Figueroa-García; Fabián Steven Garay-Rairán; Germán Jairo Hernández-Pérez; Yesid Díaz-Gutierrez. Springer Science and Business Media Deutschland GmbH, 2020. p. 375-386 (Communications in Computer and Information Science; Vol. 1274 CCIS).

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

TY - GEN

T1 - Computational Simulation of Stress Distribution in a Magnesium Matrix Composite Reinforced with Carbon Nanotubes

AU - Duarte, Mateo

AU - Alvarez, Miguel

AU - López, Andres

AU - Portillo, Luis

AU - Suárez, Gustavo

AU - Niño, Juliana

PY - 2020

Y1 - 2020

N2 - The development of composite materials has brought with it global questions about its behavior on materials science where the computational simulations have the methodology to increase the knowledge about them. To exemplify the usefulness of the computational methodologies in simulations of mechanical characterization, one of the newest composite materials is used in a tensile test, this material is a magnesium matrix composite reinforcement with carbon nanotubes (CNTs). Furthermore was implemented a constitutive model to a linear-elastic behavior with the inclusion of Elasticity Modulus and Poisson Ratio properties. The computational model has been developed in Matlab software and includes the design of five reticules with 2500 nodes and insertions of 0%, 1%, 4%, 8%, and 12% of carbon nanotubes. Additionally, the finite difference method (FDM) has been applied and showed that carbon nanotubes improve mechanical properties of monolithic magnesium alloys achieving an 80% decrease in the displacement of the composite, also ensure the pertinence of the computational simulations for the future of the materials science.

AB - The development of composite materials has brought with it global questions about its behavior on materials science where the computational simulations have the methodology to increase the knowledge about them. To exemplify the usefulness of the computational methodologies in simulations of mechanical characterization, one of the newest composite materials is used in a tensile test, this material is a magnesium matrix composite reinforcement with carbon nanotubes (CNTs). Furthermore was implemented a constitutive model to a linear-elastic behavior with the inclusion of Elasticity Modulus and Poisson Ratio properties. The computational model has been developed in Matlab software and includes the design of five reticules with 2500 nodes and insertions of 0%, 1%, 4%, 8%, and 12% of carbon nanotubes. Additionally, the finite difference method (FDM) has been applied and showed that carbon nanotubes improve mechanical properties of monolithic magnesium alloys achieving an 80% decrease in the displacement of the composite, also ensure the pertinence of the computational simulations for the future of the materials science.

KW - Carbon nanotubes

KW - Computational simulation

KW - Magnesium

KW - Matlab

KW - Metal matrix composite

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DO - 10.1007/978-3-030-61834-6_32

M3 - Ponencia publicada en las memorias del evento con ISBN

AN - SCOPUS:85094167558

SN - 9783030618339

T3 - Communications in Computer and Information Science

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BT - Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings

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PB - Springer Science and Business Media Deutschland GmbH

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Duarte M, Alvarez M, López A, Portillo L, Suárez G, Niño J. Computational Simulation of Stress Distribution in a Magnesium Matrix Composite Reinforced with Carbon Nanotubes. En Figueroa-García JC, Garay-Rairán FS, Hernández-Pérez GJ, Díaz-Gutierrez Y, editores, Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 375-386. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-61834-6_32

Computational Simulation of Stress Distribution in a Magnesium Matrix Composite Reinforced with Carbon Nanotubes

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