X-ray and finite element analysis of deformation response of closed-cell metal foam subjected to compressive loading

Jiroušek, Ondřej; Doktor, Tomáš; Kytýř, Daniel; Zlámal, Petr; Fíla, Tomáš; Koudelka, Petr; Jandejsek, Ivan; Vavřı́k, Daniel

doi:10.1088/1748-0221/8/02/c02012

Cited by 26 publications

(20 citation statements)

References 5 publications

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“…With the development of X-ray computer tomography (CT) techniques, foam finite element models based on the reconstruction of real foams using CT techniques have also been reported in [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Effects of cell size and cell wall thickness variations on the stiffness of closed-cell foams

Chen

Das

Battley

2015

International Journal of Solids and Structures

128

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Please cite this article as: Chen, Y., Das, R., Battley, M., Effects of cell size and cell wall thickness variations on the stiffness of closed-cell foams, International Journal of Solids and Structures (2014), doi: http://dx.Abstract This paper concerns with the micromechanical modelling of closed-cell polymeric foams (M130) using Laguerre tessellation models incorporated with realistic foam cell size and cell wall thickness distributions. The cell size and cell wall thickness distributions of the foam were measured from microscope images. The Young's modulus of cell wall material of the foam was characterized by nanoindentation tests. It is found that when the cell size and cell wall thickness are assumed to be uniform in the models, the Kelvin, Weaire-Phelan and Laguerre models overpredict the stiffness of the foam. However, the Young's modulus and shear modulus predicted by the Laguerre models incorporating measured foam cell size and cell wall thickness distributions agree well with the experimental data. This emphasizes the fact that the integration of realistic cell wall and cell size variations is vital for foam modelling. Subsequently the effects of cell size and cell wall thickness variations on the stiffness of closed-cell foams were investigated using Laguerre models. It is found that the Young's modulus and shear modulus decrease with increasing cell size and cell wall thickness variations. The degree of stiffness variation of closed-cell foams resulting from the cell size dispersion and cell wall thickness dispersion are comparable. There is little interaction between the cell size variation and cell wall thickness variation as far as their effects on foam moduli are concerned. Based on the simulation results, expressions incorporating cell size and cell wall thickness variations were formulated for predicting the stiffness of closed-cell foams. Lastly, a simple spring system model was proposed to explain the effects of cell size and cell wall thickness variations on the stiffness of cellular structures.

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Section: Introductionmentioning

confidence: 99%

Effects of cell size and cell wall thickness variations on the stiffness of closed-cell foams

Chen

Das

Battley

2015

International Journal of Solids and Structures

128

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“…This latter variant was implemented and is further called as enhanced, while the original version of the algorithm without any algorithmic acceleration is called standard. The performance of GPU parallelism is demonstrated on evaluation of the L 2 -function on three different microstructures: (i) chess-type morphology with dimensions of squares 10 × 10 [px], (ii) particulate suspension consisting of equal-sized squares with dimensions 4 × 4 [px] and (iii) metal foam taken from [22]. Tab.…”

Section: Algorithmic Acceleration Of L 2 Evaluationmentioning

confidence: 99%

Compression and reconstruction of random microstructures using accelerated lineal path function

Havelka

Kučerová

Sýkora

2016

Computational Materials Science

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Microstructure reconstruction and compression techniques are designed to find a microstructure with desired properties. While the microstructure reconstruction searches for a microstructure with prescribed statistical properties, the microstructure compression focuses on efficient representation of material morphology for a purpose of multiscale modelling. Successful application of those techniques, nevertheless, requires proper understanding of underlying statistical descriptors quantifying material morphology. In this paper we focus on the lineal path function designed to capture namely shortrange effects and phase connectedness, which can be hardly handled by the commonly used two-point probability function. The usage of the lineal path function is, however, significantly limited by huge computational requirements. So as to examine the properties of the lineal path function within the computationally exhaustive compression and reconstruction processes, we start with the acceleration of the lineal path evaluation, namely by porting part of its code to the graphics processing unit using the CUDA (Compute Unified Device Architecture) programming environment. This allows us to present a unique comparison of the entire lineal path function with the commonly used rough approximation based on the Monte Carlo and/or sampling template. Moreover, the accelerated version of the lineal path function is then compared with the two-point probability function within the compression and reconstruction of two-phase morphologies. Their significant features are thoroughly discussed and illustrated on a set of artificial periodic as well

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“…The resolution of the original images 1445 × 1459 × 1330 px was progressively reduced to 401 × 401 × 343 px, 200 × 200 × 171 px and 101 × 101 × 85 px to lower the complexity of the FE model for the simulations. The resampled image data were used to develop microstructural voxel models using an in-house open source software tool [10] by directly converting every voxel (spatial pixel) into a linear hexahedral element (see Fig. 3).…”

Section: Evaluation Of the Microstructure By Means Of Micro-focus Commentioning

confidence: 99%

Strain-rate dependence for Ni/Al hybrid foams

Jung

Larcher

Jiroušek

et al. 2015

EPJ Web of Conferences

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Abstract. Shock absorption often needs stiff but lightweight materials that exhibit a large kinetic energy absorption capability. Open-cell metal foams are artificial structures, which due to their plateau stress, including a strong hysteresis, can in principle absorb large amounts of energy. However, their plateau stress is too low for many applications. In this study, we use highly novel and promising Ni/Al hybrid foams which consist of standard, open-cell aluminium foams, where nanocrystalline nickel is deposited by electrodeposition as coating on the strut surface. The mechanical behaviour of cellular materials, including their behaviour under higher strain-rates, is governed by their microstructure due to the properties of the strut material, pore/strut geometry and mass distribution over the struts. Micro-inertia effects are strongly related to the microstructure. For a conclusive model, the exact real microstructure is needed. In this study a micro-focus computer tomography (µCT) system has been used for the analysis of the microstructure of the foam samples and for the development of a microstructural Finite Element (micro-FE) mesh. The microstructural FE models have been used to model the mechanical behaviour of the Ni/Al hybrid foams under dynamic loading conditions. The simulations are validated by quasi-static compression tests and dynamic split Hopkinson pressure bar tests.

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X-ray and finite element analysis of deformation response of closed-cell metal foam subjected to compressive loading

Cited by 26 publications

References 5 publications

Effects of cell size and cell wall thickness variations on the stiffness of closed-cell foams

Effects of cell size and cell wall thickness variations on the stiffness of closed-cell foams

Compression and reconstruction of random microstructures using accelerated lineal path function

Strain-rate dependence for Ni/Al hybrid foams

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