Topology optimization of self-supporting structures for additive manufacturing with B-spline parameterization

DOI10.1016/j.cma.2020.113599zbMath1506.74303OpenAlexW3109940076MaRDI QIDQ2021277

Tong Gao, Che Wang, Lu Zhou, Wei-Hong Zhang, Ji-Hong Zhu

Publication date: 26 April 2021

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2020.113599

zbMATH Keywords

topology optimizationB-splineadditive manufacturingoverhangself-supporting

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Topological methods for optimization problems in solid mechanics (74P15)

Related Items (5)

A reaction diffusion-based B-spline level set (RDBLS) method for structural topology optimization ⋮ Multi-material topology optimization for additive manufacturing considering dimensional constraints ⋮ Self-supporting structure design with feature-driven optimization approach for additive manufacturing ⋮ Simultaneous optimization of build orientation and topology for self-supported enclosed voids in additive manufacturing ⋮ Length scale control in density-based multi-material topology optimization

Cites Work

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• Sensitivity filtering from a continuum mechanics perspective
• A second-order measure of boundary oscillations for overhang control in topology optimization
• Structural optimization under overhang constraints imposed by additive manufacturing technologies
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• Self-supporting structure design in additive manufacturing through explicit topology optimization
• Topology optimization of self-supporting structures with polygon features for additive manufacturing
• Topology optimization in B-spline space
• Filters in topology optimization
• A Class of Globally Convergent Optimization Methods Based on Conservative Convex Separable Approximations
• Achieving minimum length scale in topology optimization using nodal design variables and projection functions

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