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Authors
van de Ven, Emiel http://orcid.org/0000-0001-6252-8263
Maas, Robert
Ayas, Can
Langelaar, Matthijs
van Keulen, Fred
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Funding
Funding for this research was provided by:
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (S12.7.14549a)
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Article History
Received: 13 August 2020
Revised: 4 December 2020
Accepted: 16 February 2021
First Online: 2 June 2021
Declarations
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: The authors declare that they have no conflict of interest.
: An implementation of the front propagation-based overhang filter presented in this work is provided in the form of an interactive Jupyter notebook, shown in Fig. InternalRef removed. It is based on the Python implementation of the 88-line topology optimization code (Andreassen et al. CitationRef removed). It contains the front propagation-based overhang filter as presented in van de Ven et al. (CitationRef removed), the improved variant presented in this work, and a Python adaption of the layer-by-layer filter provided in Langelaar (CitationRef removed). In order to run the notebook, open a Jupyter notebook (ExternalRef removed), inside the notebook navigate to the InternalRef removed and run <tt>TopOptAMapplet.ipynb</tt>. Then follow the instructions inside the notebook. The reader is encouraged to play with the various overhang filters and parameters to gain an understanding of their effect on the optimization. Figure removed
