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Multi-material proportional topology optimization based on the modified interpolation scheme

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Abstract

A multi-material proportional topology optimization (PTO) method based on the modified material interpolation scheme is proposed in this work. PTO method is a highly heuristic algorithm by which satisfactory results are obtained. When the proposed method is used to solve the minimum compliance problem, the design variables are assigned to elements proportionally by the value of compliance during the optimization process. It is worth mentioning that PTO algorithm does not incorporate sensitivities. Accordingly, there is nothing about sensitivity calculation but just a weighted density used as filtering in the proposed method. Hence, non-sensitivity is also one of the salient features of this method. According to the characteristics, a density interpolation approach based on the logistic function is introduced in the present study. This approach cannot only establish the relationship between the material densities and Young’s modulus more reasonably, but also effectively realize the polarization of the intermediate-density elements. The complication associated with sensitivities can be avoided by the complicated interpolation scheme in conjunction with PTO algorithm. The multi-material interpolation scheme is modified from the extended SIMP interpolation approach in three-phase topology optimization. A density-filter-based Heaviside threshold function combined with the modified interpolation is introduced in this work to obtain clear 0/1 optimal topology design. The effectiveness and feasibility of the proposed method are demonstrated by several typical numerical examples of multi-material topology optimization, in which the optimal design with distinct boundaries can be obtained.

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Acknowledgements

This work was supported by the Project of China Scholarship Council (201506965015). The authors are also grateful to the anonymous reviewers for their valuable suggestions for improving the manuscript.

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Authors and Affiliations

  1. School of Mechano-electronic Engineering, Xidian University, Xi’an, 710071, People’s Republic of China

    Mingtao Cui, Yifei Zhang, Xinfeng Yang & Chenchun Luo

  2. Department of Mechanical Engineering, McGill University, Montreal, QC, H3A 2K6, Canada

    Mingtao Cui

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  1. Mingtao Cui
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Correspondence to Mingtao Cui.

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Cui, M., Zhang, Y., Yang, X. et al. Multi-material proportional topology optimization based on the modified interpolation scheme. Engineering with Computers 34, 287–305 (2018). https://doi.org/10.1007/s00366-017-0540-z

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