2018
DOI: 10.1080/1539445x.2018.1528457
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Microstructural and Compressive Deformation Behavior of Aluminum-Foam-Filled Sections

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Cited by 9 publications
(4 citation statements)
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“…The Al-Cu foams exhibited a structure composed of a ductile inner layer and brittle outer layer. Al is a common matrix with superior ductility [1][2][3][4][5][6]. Meanwhile, electrodeposited Cu coatings result in significantly less ductility owing to their nanocrystalline structure [19,20].…”
Section: Materials Designmentioning
confidence: 99%
See 1 more Smart Citation
“…The Al-Cu foams exhibited a structure composed of a ductile inner layer and brittle outer layer. Al is a common matrix with superior ductility [1][2][3][4][5][6]. Meanwhile, electrodeposited Cu coatings result in significantly less ductility owing to their nanocrystalline structure [19,20].…”
Section: Materials Designmentioning
confidence: 99%
“…Aluminium foams consist of aluminium struts and porous structures. These foams are potential candidates for impact-resistance applications owing to their low weight and energy absorption capacity [1][2][3]. To satisfy the increasing demand for impact safety, various studies have been conducted to improve the energy absorption capability of aluminium foams by alloying [4], addition of aluminium cenosphere [5], and structural optimisation [6].…”
Section: Introductionmentioning
confidence: 99%
“…Luo et al [ 22 ], through experimental research, concluded that, on the premise of the same absorbed energy, foam-filled metal steel tubes could reduce the volume and mass required by energy-absorbing members compared with pure steel tubes. To explore the response of the foam-metal structure under the impact load, Dipen Kumar Rajak et al [ 23 ] and Patel et al [ 24 ] studied the crashworthiness and energy absorption performance of the foam-filled thin-walled steel tube under different strain rates. The results display that the strain rate increases linearly with the platform stress and energy absorption.…”
Section: Introductionmentioning
confidence: 99%
“…Chatterjee et al (2017) used a Grey fuzzy relational analysis and TOPSIS multi-criteria decision method for the selection of cotton Fabric values (Panchal et al, 2019;Chakraborty et al, 2018). Patel et al (2018) analyzed the microstructural and deformation behavior of Al-foam filled section and A2024-SiC-ZrSiO4 metal matrix composites.…”
mentioning
confidence: 99%