Strength-based topology optimization for anisotropic parts

Mirzendehdel, Amir M.; Rankouhi, Behzad; Suresh, Krishnan

doi:10.1016/j.addma.2017.11.007

Cited by 55 publications

(33 citation statements)

References 46 publications

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“…AM-induced anisotropy manifests itself in two ways: (1) Anisotropic constitutive properties relating stress and strain, and (2) directional strengths. In [126], the latter was addressed by replacing conventional von Mises stress criterion [127] with the Tsai-Wu stress criterion. They demonstrated, through simulation and experiments, that the Tsai-Wu criterion leads to better topologies by accounting for AM-induced anisotropic strength (see Figure 9).…”

Section: Materials Anisotropymentioning

confidence: 99%

Current and future trends in topology optimization for additive manufacturing

Liu

Gaynor

Chen

et al. 2018

Struct Multidisc Optim

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627

249

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Manufacturing-oriented topology optimization has been extensively studied the past two decades, in particular for the conventional manufacturing methods, e.g., machining and injection molding or casting. Both design and manufacturing engineers have benefited from these efforts because of the close-tooptimal and friendly-to-manufacture design solutions. Recently, additive manufacturing (AM) has received significant attention from both academia and industry. AM is characterized by producing geometrically complex components layer-by-layer, and greatly reduces the geometric complexity restrictions imposed on topology optimization by conventional manufacturing. In other words, AM can make near-full use of the freeform structural evolution of topology optimization. Even so, new rules and restrictions emerge due to the diverse and intricate AM processes, which should be carefully addressed when developing the AM-specific topology optimization algorithms. Therefore, the motivation of this perspective paper is to summarize the state-of-art topology optimization methods for a variety of AM topics. At the same time, this paper also expresses the authors' perspectives on the challenges and opportunities in these topics. The hope is to inspire both researchers and engineers to meet these challenges with innovative solutions.

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Section: Materials Anisotropymentioning

confidence: 99%

Current and future trends in topology optimization for additive manufacturing

Liu

Gaynor

Chen

et al. 2018

Struct Multidisc Optim

Self Cite

627

249

View full text Add to dashboard Cite

show abstract

“…With the growing interest in AM processes, design for additive manufacturing (DfAM) has emerged as an important paradigm to include AM constraints in early stages of design. These constraints pertain to minimum feature size [15], efficient use of support structure [16][17][18], anisotropic material properties [19,20], and post-processing [13,21].…”

Section: Related Workmentioning

confidence: 99%

Topology optimization with accessibility constraint for multi-axis machining

Mirzendehdel

Behandish

Nelaturi

2020

Computer-Aided Design

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In this paper, we present a topology optimization (TO) framework to enable automated design of mechanical components while ensuring the result can be manufactured using multi-axis machining. Although TO improves the part's performance, the as-designed model is often geometrically too complex to be machined and the as-manufactured model can significantly vary due to machining constraints that are not accounted for during TO. In other words, many of the optimized design features cannot be accessed by a machine tool without colliding with the part (or fixtures). The subsequent post-processing to make the part machinable with the given setup requires trial-and-error without guarantees on preserving the optimized performance. Our proposed approach is based on the well-established accessibility analysis formulation using convolutions in configuration space that is extensively used in spatial planning and robotics. We define an inaccessibility measure field (IMF) over the design domain to identify non-manufacturable features and quantify their contribution to non-manufacturability. The IMF is used to penalize the sensitivity field of performance objectives and constraints to prevent formation of inaccessible regions. Unlike existing discrete formulations, our IMF provides a continuous spatial field that is desirable for TO convergence. Our approach applies to arbitrary geometric complexity of the part, tools, and fixtures, and is highly parallelizable on multi-core architecture. We demonstrate the effectiveness of our framework on benchmark and realistic examples in 2D and 3D. We also show that it is possible to directly construct manufacturing plans for the optimized designs based on the accessibility information.

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“…It has also been proven that the derived structural performance can be significantly improved by simultaneously optimizing the build direction during topology optimization [19]. In a recent work, Mirzendehdel et al [48] employed the Tsai-Wu failure criterion to constrain the anisotropic strength. The optimization result showed evidently more strength than the result design with the von Mises criterion.…”

Section: Literature Reviewmentioning

confidence: 99%

Topology Optimization for Multipatch Fused Deposition Modeling 3D Printing

Hong

Cao

2020

Applied Sciences

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This paper presents a hybrid topology optimization method for multipatch fused deposition modeling (FDM) 3D printing to address the process-induced material anisotropy. The ‘multipatch’ concept consists of each printing layer disintegrated into multiple patches with different zigzag-type filament deposition directions. The level set method was employed to represent and track the layer shape evolution; discrete material optimization (DMO) model was adopted to realize the material property interpolation among the patches. With this set-up, a concurrent optimization problem was formulated to simultaneously optimize the topological structure of the printing layer, the multipatch distribution, and the corresponding deposition directions. An asynchronous starting strategy is proposed to prevent the local minimum solutions caused by the concurrent optimization scheme. Several numerical examples were investigated to verify the effectiveness of the proposed method, while satisfactory optimization results have been derived.

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Strength-based topology optimization for anisotropic parts

Cited by 55 publications

References 46 publications

Current and future trends in topology optimization for additive manufacturing

Current and future trends in topology optimization for additive manufacturing

Topology optimization with accessibility constraint for multi-axis machining

Topology Optimization for Multipatch Fused Deposition Modeling 3D Printing

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