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The International Journal of Advanced Manufacturing Technology

Erschienen in:

12.11.2021 | ORIGINAL ARTICLE

An intelligent algorithm for topology optimization in additive manufacturing

verfasst von: Reza Karimzadeh, Mohsen Hamedi

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 1-2/2022

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Abstract

Additive manufacturing is a popular process due to advantages such as reduced tooling costs, short time to market, creative freedom for designers, reduced weight, and component consolidation, to name a few. However, there are issues such as component support structure that merit further investigation due to their effect on costs and quality of the fabricated components. In this paper, we propose a topology optimization (TO) algorithm based on solid isotropic material with penalization (SIMP) method. An intelligent combination of data clustering and neural networks enhances sensitivity analysis. The method is able to generate a support-free part design with desirable compliance. Two benchmark problems, short cantilever, and MBB beams are solved by the conventional and the proposed method. The results are validated through experimental work that includes fabricating the beams by fused deposition modeling (FDM) process. The experimental results display promising savings in material usage and manufacturing time.

Vorheriger Artikel Transferability of the working envelope approach for parameter selection and optimization in thin wall WAAM

Nächster Artikel Numerical and experimental investigation of orthogonal cutting of carbon fiber-reinforced polyetheretherketone (CF/PEEK)

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Titel: An intelligent algorithm for topology optimization in additive manufacturing
verfasst von: Reza Karimzadeh
Mohsen Hamedi
Publikationsdatum: 12.11.2021
Verlag: Springer London
Erschienen in: The International Journal of Advanced Manufacturing Technology / Ausgabe 1-2/2022
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-021-08014-1

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