Multi-material additive manufacturing: a computational design perspective

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Advanced computational design tools are essential for optimizing multi-material additive manufacturing.
Topology optimisation and data-driven inverse design are crucial for effective multi-material design.
Key challenges include manufacturability and robust multi-material interface management.
Future research should focus on enhancing optimization frameworks to address design and manufacturing constraints.

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This review evaluates design algorithms for multi-material additive manufacturing, highlighting key challenges and solutions.

Yu et al. (2025) studied this question.

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