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Penalty regulation of overhang in topology optimization for additive manufacturing
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8460-0131
2019 (English)In: Structural and multidisciplinary optimization (Print), ISSN 1615-147X, E-ISSN 1615-1488, Vol. 60, no 1, p. 59-67Article in journal (Refereed) Published
Abstract [en]

Several filter approaches that introduce additive manufacturing-related overhang constraints in topology optimization exist. However, a drawback of these is that exact satisfaction of overhang constraints produces sharp inward corners resulting in stress singularities. The present paper therefore modifies such filter approaches by a penalty formulation, where the choice of penalty factor regulates how closely the overhang constraint is satisfied. By appropriately choosing certain weight factors in the penalty function, the cost of support structures is also reflected in the formulation in a simple and computationally inexpensive way. The method is demonstrated by parameter studies using the classical MBB beam, using both structured and unstructured meshes.

Place, publisher, year, edition, pages
SPRINGER , 2019. Vol. 60, no 1, p. 59-67
Keywords [en]
Topology optimization; Additive manufacturing; Support structure; Overhang penalty
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-158860DOI: 10.1007/s00158-019-02194-xISI: 000470771900004OAI: oai:DiVA.org:liu-158860DiVA, id: diva2:1337636
Note

Funding Agencies|Clean Sky 2 joint undertaking under the European Unions Horizon 2020 research and innovation program [738002]; Swedens innovation agency [2016-05175]

Available from: 2019-07-16 Created: 2019-07-16 Last updated: 2019-07-16

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Thore, Carl-JohanAlm Grundström, HenrikTorstenfelt, BoKlarbring, Anders
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • Other style
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Language
  • de-DE
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  • sv-SE
  • Other locale
More languages
Output format
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