Advances in Topology Optimization for Advanced Manufacturing
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 9
Special Issue Editors
Interests: design and topology optimization for additive manufacturing; multiscale numerical modeling and simulation
Interests: design and topology optimization for additive manufacturing; multiscale numerical modeling and simulation
Special Issue Information
Dear Colleagues,
Topology optimization, when paired with advanced additive manufacturing (AM) techniques, opens new avenues for designing and fabricating highly efficient, lightweight, and complex structures. This Special Issue aims to showcase cutting-edge research and innovations in topology optimization, focusing on its integration with advanced manufacturing processes such as additive manufacturing, hybrid manufacturing, and Industry 4.0 technologies. We invite contributions that explore novel algorithms, multi-material optimization, manufacturability constraints, AM‐aware design strategies, cellular or lattice structures, functionally‑graded materials, and the integration of simulation with real‐time process data. Topics of interest include, but are not limited to, machine learning-enhanced topology optimization, robust and uncertainty-based design, and sustainable manufacturing solutions. Submissions employing hybrid modelling, data-driven or AI‑assisted topological design, and studies facilitating the transition from computational models to practical AM systems are particularly encouraged. Together, these efforts aim to drive innovation in AM design, bridging theoretical advances with engineering practice.
Dr. Marjan Molavi-Zarandi
Dr. Ali Bonakdar
Guest Editors
Manuscript Submission Information
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Keywords
- topology optimization
- advanced manufacturing
- additive manufacturing
- computational design
- manufacturable design
- multi-material optimization
- functionally graded or lattice structures
- multi-physics numerical modelling
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