Improving the diversity of topology-optimized designs by swarm intelligence View Full Text


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Article Info

DATE

2022-07-07

AUTHORS

Tsz Ho Kwok

ABSTRACT

Although additive manufacturing can produce nearly any geometry, users have limited choices in the designs. Topology optimization can create complex shapes, but it provides only one solution for one problem, and existing design exploration methods are ineffective when the design space is huge and high-dimensional. Therefore, this paper develops a new generative design method to improve the diversity of topology-optimized designs. Based on the observation that topology optimization places materials along the principal directions to maximize stiffness, this paper creates a rule of principal direction and applies it to swarm intelligence for form-finding. The shapes got by the swarming process possess both randomness and optimality. After they are further optimized, the final designs have high diversity. This is the first time integrating structural stiffness as a swarm principle to influence the collective behavior of decentralized, self-organized systems. The experimental results show that this method can generate interesting designs that have not been seen in the literature. Some results are even better than those got by the original topology optimization method, especially when the problem is more complex. This work not only allows users to choose unique designs according to their preference, but also helps users find better designs for their application. More... »

PAGES

202

References to SciGraph publications

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  • 2021-09-14. Generative design of truss systems by the integration of topology and shape optimisation in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2021-07-07. A diversity metric based on Gaussian process model for diverse and competitive design in STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
  • 2018-10-28. Deep learning for determining a near-optimal topological design without any iteration in STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
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  • 2013-08-21. Topology optimization approaches in STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
  • 2017-06. Topology optimization based on the harmony search method in JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
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  • 2021-06-14. Integrating deep learning into CAD/CAE system: generative design and evaluation of 3D conceptual wheel in STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
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    URI

    http://scigraph.springernature.com/pub.10.1007/s00158-022-03295-w

    DOI

    http://dx.doi.org/10.1007/s00158-022-03295-w

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1149271452


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