A novel modeling approach of aluminum foam based on MATLAB image processing AITranslate

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DOI：https://doi.org/10.1016/j.commatsci.2013.10.020

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Highlights • A novel modeling approach is proposed to establish the FEM of aluminum foam. • There is a smaller difference in structure size between the geometric model and the real model. • The calculation of reconstruction model of aluminum foam can reflect mechanical behavior in the compression process. Metal foams are a relatively new class of materials exhibiting well physical and mechanical properties which make them attractive in a number of engineering applications. In this paper, a novel modeling approach is proposed to establish the finite element model (FEM) of aluminum foam. Firstly, MATLAB image processing is used to deal with synchrotron X-ray computed tomography (μCT) scanning images of real aluminum foam and reconstruct geometric model. Secondly, two-step mesh method is employed to mesh the geometrical model by appropriate selection of node, and then establish the FEM of aluminum foam directly. This approach is used to calculate the compression performance of aluminum foam based on ABAQUS, of which porosity is set as 56.41%, 56.71% and 58.02%, respectively, and the matrix material is ZL102. The calculation of aluminum foam can reflect mechanical behavior in the compression process and good numerical results show that present method is applicable. Graphical abstract A novel modeling approach is proposed to establish the reconstruction geometrical model of aluminum foam based on MATLAB image processing and X-ray computed tomography (μCT) scanning. A two-step mesh method is employed to mesh the reconstruction geometrical model in MATLAB by appropriate selection of node, and then establish the FEM of aluminum foam directly. As shown in figure, only local holes collapse when the amount of compression is 10 mm, and the collapsed positions in three examples are different. It illustrate that calculation is independent on geometric modeling algorithm. Download : Download full-size image