An additive manufacturing filter for topology optimization of print-ready designs
By Matthijs Langelaar. Structural And Multidisciplinary Optimization, 2016
364 citations recorded by the source corpus.
Additive manufacturing (AM) offers exciting opportunities to manufacture parts of unprecedented complexity. Topology optimization is essential to fully exploit this capability. However, AM processes have specific limitations as well. When these are not considered during design optimization, modifications are generally needed in post-processing, which add costs and reduce the optimized performance. This paper presents a filter that incorporates the main characteristics of a generic AM process, and that can easily be included in conventional density-based topology optimization procedures. Use of this filter ensures that optimized designs comply with typical geometrical AM restrictions. Its performance is illustrated on compliance minimization problems, and a 2D Matlab implementation is provided.
Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/bb5b7b7540dc2fc56e5cc4d99e76fab06246cc94
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Citations in the corpus
- Self-supporting structure design in additive manufacturing through explicit topology optimization (2017, methodology): “t structure is purely to satisfy the printability requirement. Furthermore, Computer Methods in Applied Mechanics and Engineering, under review 2016-11-12 18 compared to the optimized designs show in [21], the optimized designs obtained by the proposed approach are totally free from the existence of”
- Infill Optimization for Additive Manufacturing—Approaching Bone-Like Porous Structures (2016, methodology): “Regarding overhang avoidance, some progress has been made recently by embedding corresponding constraints into density-based topology optimization [52], [53], [54].”
- Homogenization-based stiffness optimization and projection of 2D coated structures with orthotropic infill (2019, background): “Examples are geometric constraints to restrict the overhang angle (Langelaar, 2017; Qian, 2017; Gaynor and Guest, 2016; Allaire et al., 2017), and methods to restrict the length-scale of the design as well as to make them robust against manufacturing variations, see (Lazarov et al.”
- Current and future trends in topology optimization for additive manufacturing (2018, methodology): “commercial software: Gaynor and Guest [22] into Altair Optistruct and Langelaar [42,43] into Simulia’s”