Abstract
This research addresses the need for versatile topology optimization techniques capable of optimizing both single and multi-material designs. The extended Python code incorporates the modified Bi directional Evolutionary Structural Optimization (BESO) algorithm and a material interpolation scheme to enhance its capabilities. Engineers and designers can utilize this improved approach to optimize the performance of structures, especially in the context of multi-material configurations. To increase its practicality, the code is converted into ABAQUS plugin, seamlessly integrating it with the widely used finite element analysis software. Validation examples, conducted in the ABAQUS environment, demonstrate the compatibility and accuracy of the code. This research provides an efficient and accurate solution for topology optimization, addressing the demands of multi-material designs in various engineering applications. Examples of such applications include lightweight design in automotive and aerospace industries, customized implants in biomedical engineering, and optimal material distribution in architectural structures.
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Acknowledgements
The research work was performed within the PdZ-project “3DFit4Wear - Neue Wege zur wirtschaftlichen Herstellung von adaptierbaren und wiederverwertbaren Orthesen über 3D Druck” at the Polymer Competence Center Leoben GmbH (PCCL, Austria) within the framework of the “Produktion der Zukunft”-program of the Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology and the Federal Ministry for Digital and Economic Affairs with contributions by Montan University Leoben (Chair of Chemistry of Polymeric Materials & Chair of Science and Testing of Polymer), In-Vision Technologies AG, and Luxinergy GmbH. The PCCL is funded by the Austrian Government and the State Governments of Styria, Lower Austria and Upper Austria.
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Patel, D., Rockenbauer, T., Schlögl, S., Lang, M. (2024). Single and Multi-material Topology Optimization of Continuum Structures: ABAQUS Plugin. In: Vlachos, D. (eds) Mathematical Modeling in Physical Sciences. ICMSQUARE 2023. Springer Proceedings in Mathematics & Statistics, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-031-52965-8_1
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