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Erschienen in: Structural and Multidisciplinary Optimization 3/2021

08.05.2021 | Research Paper

A novel method for concurrent thickness and material optimization of non-laminate structures

verfasst von: Kiarash Kashanian, Il Yong Kim

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 3/2021

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Abstract

In the ever-expanding fields of thickness and topology optimization, there is a research gap for simultaneous and direct optimization of thickness and material for complex shell structures using fully analytical sensitivities, with prevention of coincident material layers. This paper introduces a novel method to fill this gap: concurrent thickness and material optimization (CTMO) based on a gradient-based approach. This proposed formulation determines optimal thickness and material choice for shell elements within a finite element (FE) model design space. The method of moving asymptotes (MMA) is used for optimization, and material interpolation is handled with solid isotropic material with penalization (SIMP). The behavior of this solver is demonstrated with several academic examples, through a series of extensive parameter sweeps of mass fraction, and minimum and maximum designable thickness, for the compliance minimization objective function. The proposed methodology is geared towards practical design of complex structures, allowing for feasible interpretation into actual engineering solutions. As such, optimization of a small aerobatic aircraft wing is conducted with study of several key design factors. The effects of design restriction and filter size are studied to determine best practices for design procedures. To demonstrate the practical utility of this algorithm, a selected wing optimization result is interpreted into a set of complete, industry style designs, verified through finite element analysis (FEA) to determine deviation from the ideal optimum. It is demonstrated that designs can be interpreted faithfully from optimization results with mass and compliance errors of less than 2%, alongside a discussion of pertinent factors. Finally, several areas with potential for future work are explored.

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Literatur
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Zurück zum Zitat Kashanian K, Shah V, Pamwar M, Sangha B, Kim IY (2020) Motorcycle chassis design utilizing multi-material topology optimization. SAE Technical Papers, In, pp 1–8 Kashanian K, Shah V, Pamwar M, Sangha B, Kim IY (2020) Motorcycle chassis design utilizing multi-material topology optimization. SAE Technical Papers, In, pp 1–8
Zurück zum Zitat Liu C-H, Chiang Y-P, Hsu Y-Y (2018) Optimal Design of an Elastomeric Engine Mount with desired stiffness using topology optimization. In: 2018 IEEE/ASME international conference on advanced intelligent mechatronics (AIM). IEEE, pp 1003–1008 Liu C-H, Chiang Y-P, Hsu Y-Y (2018) Optimal Design of an Elastomeric Engine Mount with desired stiffness using topology optimization. In: 2018 IEEE/ASME international conference on advanced intelligent mechatronics (AIM). IEEE, pp 1003–1008
Zurück zum Zitat Shah V, Kashanian K, Pamwar M, Sangha B, Kim IY (2020) Multi-material topology optimization considering manufacturing constraints. In: SAE Technical Papers. pp 1–10 Shah V, Kashanian K, Pamwar M, Sangha B, Kim IY (2020) Multi-material topology optimization considering manufacturing constraints. In: SAE Technical Papers. pp 1–10
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Metadaten
Titel
A novel method for concurrent thickness and material optimization of non-laminate structures
verfasst von
Kiarash Kashanian
Il Yong Kim
Publikationsdatum
08.05.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 3/2021
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-021-02928-w

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