Additive manufacturing applications of phase‐field‐based topology optimization using adaptive isogeometric analysis

Carraturo, Massimo; Hennig, Paul; Alaimo, Gianluca; Heindel, Leonhard; Auricchio, Ferdinando; Kästner, Markus; Reali, Alessandro

doi:10.1002/gamm.202100013

Cited by 15 publications

(2 citation statements)

References 39 publications

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“…Notice also that the splines used for optimization almost never coincide with the splines available via CAD and instead require manual reworking. In the field of topology optimization, key areas of research are on the one hand geometry representation for generative design, such as SIMP or ESO [11], but on the other hand also the reconstruction of the generated geometries [32,9]. This paper is only concerned with shape optimization and in particular vertex-based shape optimization.…”

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confidence: 99%

Seamless integration of analysis and design – Automatic CAD reconstruction of post-analysis geometries

Hube¹,

Pohlmann²,

Elgeti³

2023

ACSE

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A key step during industrial design is the passing of design information from computer aided design (CAD) to analysis tools (CAE) and vice versa. Here, one is faced with a severe incompatibility in geometry representation: While CAD is usually based on surface representations, analysis mostly relies on volumetric representations. The forward pass, i.e., converting CAD data to computational meshes, is well understood and established. However, the same does not hold for the inverse direction, i.e., CAD reconstruction of deformed geometries resulting from analysis. This is particularly important for industrial workflows in which the shape optimization of an initial product is outsourced. Such shape optimization is the focus of this work. The few reconstruction methods reported mainly rely on spline fitting, in particular on creating new splines similar to shape reconstruction from 3D imaging. In contrast, this paper studies a novel approach that reuses the CAD data given in the initial design. We show that this concept enables one to shape reconstruct mediocre deformations while preserving the initial notion of features defined during design. Furthermore, reusing the initial CAD representation reduces the shape reconstruction problem to a shape modification problem. We study this unique feature and show that it enables the reconstruction of CAD data from computational meshes by composing each spline in the initial CAD data with a single, global deformation spline. While post-processing is needed for use in current CAD software, most notably, this novel approach enables reconstructing complete CAD models even from defeatured computational meshes.

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mentioning

confidence: 99%

Seamless integration of analysis and design – Automatic CAD reconstruction of post-analysis geometries

Hube¹,

Pohlmann²,

Elgeti³

2023

ACSE

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“…The topology optimization aspect described above is reflected in [1]. The general problem is tackled by a phase field approach, wherein adaptive isogeometric analysis is used in terms of the numerical implementation.…”

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confidence: 99%

Preface on mechanics of additive manufacturing—Part I

et al. 2021

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PREFACEphysics-based powder and melt pool modeling as well as the microstructure modeling and the overall thermomechanically coupled simulation framework at the macroscale are covered.Material modeling and, in particular, the accurate modeling of phase changes during selective laser melting is also addressed in [3]. The main goal of the model presented therein is to predict the process-induced irreversible strains as accurately as possible on a sub-macro level. The results obtained by the related simulations are then to be used as input for simulations at the macroscale in terms of the inherent strain method.

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