Connected morphable components-based multiscale topology optimization

Jiadong DENG, Claus B. W. PEDERSEN, Wei CHEN

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Front. Mech. Eng. ›› 2019, Vol. 14 ›› Issue (2) : 129-140. DOI: 10.1007/s11465-019-0532-3
RESEARCH ARTICLE
RESEARCH ARTICLE

Connected morphable components-based multiscale topology optimization

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Abstract

The advances of manufacturing techniques, such as additive manufacturing, have provided unprecedented opportunities for producing multiscale structures with intricate latticed/cellular material microstructures to meet the increasing demands for parts with customized functionalities. However, there are still difficulties for the state-of-the-art multiscale topology optimization (TO) methods to achieve manufacturable multiscale designs with cellular materials, partially due to the disconnectivity issue when tiling material microstructures. This paper attempts to address the disconnectivity issue by extending component-based TO methodology to multiscale structural design. An effective linkage scheme to guarantee smooth transitions between neighboring material microstructures (unit cells) is devised and investigated. Associated with the advantages of components-based TO, the number of design variables is greatly reduced in multiscale TO design. Homogenization is employed to calculate the effective material properties of the porous materials and to correlate the macro/structural scale with the micro/material scale. Sensitivities of the objective function with respect to the geometrical parameters of each component in each material microstructure have been derived using the adjoint method. Numerical examples demonstrate that multiscale structures with well-connected material microstructures or graded/layered material microstructures are realized.

Keywords

multiscale topology optimization / morphable component / material microstructure / homogenization

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Jiadong DENG, Claus B. W. PEDERSEN, Wei CHEN. Connected morphable components-based multiscale topology optimization. Front. Mech. Eng., 2019, 14(2): 129‒140 https://doi.org/10.1007/s11465-019-0532-3

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Acknowledgements

The authors would also like to thank the Digital Manufacturing and Design Innovation Institute (DMDII) at Northwestern University for their support through award number 15-07-07.

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2019 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature
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