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Multi-Scale Modeling for Predicting the Stiffness and Strength of Hollow-Structured Metal Foams with Structural Hierarchy

This work was inspired by previous experiments which managed to establish an optimal template-dealloying route to prepare ultralow density metal foams. In this study, we propose a new analytical–numerical model of hollow-structured metal foams with structural hierarchy to predict its stiffness and s...

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Autores principales: Yi, Yong, Zheng, Xiaoyang, Fu, Zhibing, Wang, Chaoyang, Xu, Xibin, Tan, Xiulan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872959/
https://www.ncbi.nlm.nih.gov/pubmed/29510553
http://dx.doi.org/10.3390/ma11030380
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author Yi, Yong
Zheng, Xiaoyang
Fu, Zhibing
Wang, Chaoyang
Xu, Xibin
Tan, Xiulan
author_facet Yi, Yong
Zheng, Xiaoyang
Fu, Zhibing
Wang, Chaoyang
Xu, Xibin
Tan, Xiulan
author_sort Yi, Yong
collection PubMed
description This work was inspired by previous experiments which managed to establish an optimal template-dealloying route to prepare ultralow density metal foams. In this study, we propose a new analytical–numerical model of hollow-structured metal foams with structural hierarchy to predict its stiffness and strength. The two-level model comprises a main backbone and a secondary nanoporous structure. The main backbone is composed of hollow sphere-packing architecture, while the secondary one is constructed of a bicontinuous nanoporous network proposed to describe the nanoscale interactions in the shell. Firstly, two nanoporous models with different geometries are generated by Voronoi tessellation, then the scaling laws of the mechanical properties are determined as a function of relative density by finite volume simulation. Furthermore, the scaling laws are applied to identify the uniaxial compression behavior of metal foams. It is shown that the thickness and relative density highly influence the Young’s modulus and yield strength, and vacancy defect determines the foams being self-supported. The present study provides not only new insights into the mechanical behaviors of both nanoporous metals and metal foams, but also a practical guide for their fabrication and application.
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spelling pubmed-58729592018-03-30 Multi-Scale Modeling for Predicting the Stiffness and Strength of Hollow-Structured Metal Foams with Structural Hierarchy Yi, Yong Zheng, Xiaoyang Fu, Zhibing Wang, Chaoyang Xu, Xibin Tan, Xiulan Materials (Basel) Article This work was inspired by previous experiments which managed to establish an optimal template-dealloying route to prepare ultralow density metal foams. In this study, we propose a new analytical–numerical model of hollow-structured metal foams with structural hierarchy to predict its stiffness and strength. The two-level model comprises a main backbone and a secondary nanoporous structure. The main backbone is composed of hollow sphere-packing architecture, while the secondary one is constructed of a bicontinuous nanoporous network proposed to describe the nanoscale interactions in the shell. Firstly, two nanoporous models with different geometries are generated by Voronoi tessellation, then the scaling laws of the mechanical properties are determined as a function of relative density by finite volume simulation. Furthermore, the scaling laws are applied to identify the uniaxial compression behavior of metal foams. It is shown that the thickness and relative density highly influence the Young’s modulus and yield strength, and vacancy defect determines the foams being self-supported. The present study provides not only new insights into the mechanical behaviors of both nanoporous metals and metal foams, but also a practical guide for their fabrication and application. MDPI 2018-03-05 /pmc/articles/PMC5872959/ /pubmed/29510553 http://dx.doi.org/10.3390/ma11030380 Text en © 2018 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yi, Yong
Zheng, Xiaoyang
Fu, Zhibing
Wang, Chaoyang
Xu, Xibin
Tan, Xiulan
Multi-Scale Modeling for Predicting the Stiffness and Strength of Hollow-Structured Metal Foams with Structural Hierarchy
title Multi-Scale Modeling for Predicting the Stiffness and Strength of Hollow-Structured Metal Foams with Structural Hierarchy
title_full Multi-Scale Modeling for Predicting the Stiffness and Strength of Hollow-Structured Metal Foams with Structural Hierarchy
title_fullStr Multi-Scale Modeling for Predicting the Stiffness and Strength of Hollow-Structured Metal Foams with Structural Hierarchy
title_full_unstemmed Multi-Scale Modeling for Predicting the Stiffness and Strength of Hollow-Structured Metal Foams with Structural Hierarchy
title_short Multi-Scale Modeling for Predicting the Stiffness and Strength of Hollow-Structured Metal Foams with Structural Hierarchy
title_sort multi-scale modeling for predicting the stiffness and strength of hollow-structured metal foams with structural hierarchy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872959/
https://www.ncbi.nlm.nih.gov/pubmed/29510553
http://dx.doi.org/10.3390/ma11030380
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