Abstract
In this work, a two-dimensional (2D) and three-dimensional (3D) integrated topology optimization (TO) parallel-computing framework, named TopADD (TOPology optimization for Arbitrary Design Domains), is developed to deal with topology optimization problems with arbitrary design domains. The parallel-computing framework is an extended work of the initial parallel-computing framework developed by Aage et al. (Struct Multidiscip Optim 51(3): 565–572, 2015). The extension is threefold: (a) a 2D implementation has been incorporated into the framework to achieve seamless switching between 2D and 3D dimensions; (b) an efficient voxelizer that can initialize complex geometries into the design domains for topology optimization is developed; and (c) besides the compliance minimization problem, two other physics have been considered: the compliant mechanism and the heat conduction problems. Additionally, the computational efficiency of the proposed framework has been examined. Compared to the other frameworks in the literature, the proposed work has superior efficiency in both computational time and memory usage. Lastly, the proposed topology optimization framework’s compatibility with additive manufacturing (AM) has been demonstrated by exporting and printing the final optimized parts without postprocessing.
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Acknowledgements
This work was supported by funding from the Natural Sciences and Engineering Research Council of Canada (NSERC), the Federal Economic Development Agency for Southern Ontario (FedDev Ontario), and Siemens Energy Canada Limited. The authors would like to thank the support from all the specialists from SHARCNET for providing valuable tutorials and assistants. The authors would like to thank Jerry Ratthapakdee and Grace Kurosad for helping in printing the samples.
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The source code of the framework and some further compile details have been provided at https://github.com/wonderfulzzd/TopADD_2D_3D_Arbitrary_TopOpt_in_PETSc.
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Highlights
• Developed a 2D/3D integrated topology optimization parallel-computing framework that achieves dimensional switching seamlessly.
• Developed an arbitrary design domain-enabled topology optimization by incorporating an efficient CAD model voxelizer.
• Demonstrated superior efficiency compared to other available topology optimization frameworks in the literature.
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Zhang, ZD., Ibhadode, O., Bonakdar, A. et al. TopADD: a 2D/3D integrated topology optimization parallel-computing framework for arbitrary design domains. Struct Multidisc Optim 64, 1701–1723 (2021). https://doi.org/10.1007/s00158-021-02917-z
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DOI: https://doi.org/10.1007/s00158-021-02917-z