Space–time isogeometric topology optimization with additive manufacturing constraints
This paper presents a novel space–time isogeometric topology optimization (ITO) framework for additive manufacturing, enabling concurrent optimization of structural shape and fabrication sequence with accurate geometric representation. The method integrates a density distribution function with a pseudo-time function to optimize build sequences for complex structures, with an objective function that minimizes compliance under external loads and accounts for self-weight effects during fabrication. Density values and virtual heat conduction coefficients are defined at B-spline control points to serve as design variables. A heat conduction-based formulation is employed to generate the pseudo-time function so that prevents the generation of isolated or floating material regions. A layer thickness constraint, defined by the pseudo-time gradient, further enhances manufacturability. The approach has been validated in 2D and 3D examples, demonstrating its effectiveness in managing objectives of entire structure’s stiffness and self-weight of intermediate structures. • We propose a method to generate structure and manufacturing sequence by IGA. • A heat conduction based formation is used to resolve the floating region issues. • Incorporating the manufacturing constraints such as layer-thickness into the ITO. • Experimental results demonstrate the effectiveness of the proposed method.
Authors
- Ye Ji (ORCID: https://orcid.org/0000-0002-1173-6457)
- Charlie C. L. Wang (ORCID: https://orcid.org/0000-0003-4406-8480)
- Chun-Gang Zhu (ORCID: https://orcid.org/0000-0002-0769-0812)
- Weiming Wang (ORCID: https://orcid.org/0000-0001-6289-0094)
- Li Yang (ORCID: https://orcid.org/0000-0002-5739-0340)
Institutions
- Dalian University of Technology (CN)
- University of Manchester (GB)
- Delft University of Technology (NL)
Publication Details
- Journal
- Computer Methods in Applied Mechanics and Engineering
- Published
- 2025-04-09
- DOI
- https://doi.org/10.1016/j.cma.2025.117976
- Citations
- 6
- Primary Topic
- Advanced Numerical Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 8.01