Spatially-optimised fibre-reinforced composites with isosurface-controlled additive manufacturing constraints
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Published version
Author(s)
Luo, Yi-Rong
Hewson, Robert
Santer, Matthew
Type
Journal Article
Abstract
A design approach accounting for manufac-
turing constraints is described for spatially-optimised
fibre-reinforced composites. The approach is based on
the optimisation of local fibre orientation, the fibre vol-
ume fraction and density based topology optimisation
to determine the optimal design. A continuity equation
is adopted to constrain the fibre orientation and ensure
continuous fibres within the bounds of realistic fibre
volume fractions. This results in a fibre orientation with
a corresponding and controllable variation of the fibre
volume fraction. In order to ensure the continuous fibre
can be deposited, the manufacturability of the optimised
results is ensured by introducing constraints controlled
with two scalar fields to reconstruct fibre paths which
are able to provide sufficient information to generate
printer toolpaths. A cantilever beam problem is solved
to show the advantage of the fibre reinforcement, the
inclusion of manufacturing constraints, and the penalty
in compliance due to the application of the manufac-
turing constraints. The results show that the presented
approach successfully guarantees the manufacturability
with minimal loss of performance.
turing constraints is described for spatially-optimised
fibre-reinforced composites. The approach is based on
the optimisation of local fibre orientation, the fibre vol-
ume fraction and density based topology optimisation
to determine the optimal design. A continuity equation
is adopted to constrain the fibre orientation and ensure
continuous fibres within the bounds of realistic fibre
volume fractions. This results in a fibre orientation with
a corresponding and controllable variation of the fibre
volume fraction. In order to ensure the continuous fibre
can be deposited, the manufacturability of the optimised
results is ensured by introducing constraints controlled
with two scalar fields to reconstruct fibre paths which
are able to provide sufficient information to generate
printer toolpaths. A cantilever beam problem is solved
to show the advantage of the fibre reinforcement, the
inclusion of manufacturing constraints, and the penalty
in compliance due to the application of the manufac-
turing constraints. The results show that the presented
approach successfully guarantees the manufacturability
with minimal loss of performance.
Date Issued
2023-06
Date Acceptance
2023-05-03
Citation
Structural and Multidisciplinary Optimization: computer-aided optimal design of stressed solids and multidisciplinary systems, 2023, 66 (6), pp.1-14
ISSN
1615-147X
Publisher
Springer
Start Page
1
End Page
14
Journal / Book Title
Structural and Multidisciplinary Optimization: computer-aided optimal design of stressed solids and multidisciplinary systems
Volume
66
Issue
6
Copyright Statement
© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long
as you give appropriate credit to the original author(s) and the source,
provide a link to the Creative Commons licence, and indicate if changes
were made. The images or other third party material in this article are
included in the article's Creative Commons licence, unless indicated
otherwise in a credit line to the material. If material is not included in
the article's Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will
need to obtain permission directly from the copyright holder. To view a
copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
as you give appropriate credit to the original author(s) and the source,
provide a link to the Creative Commons licence, and indicate if changes
were made. The images or other third party material in this article are
included in the article's Creative Commons licence, unless indicated
otherwise in a credit line to the material. If material is not included in
the article's Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will
need to obtain permission directly from the copyright holder. To view a
copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
https://link.springer.com/article/10.1007/s00158-023-03586-w
Publication Status
Published
Article Number
130
Date Publish Online
2023-05-23