Multi-material additive manufacturing: a computational design perspective

Multi-material additive manufacturing (MMAM) unlocks unprecedented opportunities in engineering, afforded by material and geometric complexity. However, leveraging its full potential necessitates advanced computational design tools tailored to specific application needs and fabrication techniques capable of translating digital designs into physical products with minimal discrepancy. This review provides a comprehensive evaluation of computational algorithms available for multi-material design, encompassing numerical methods like topology optimisation as well as data-driven inverse design strategies. MMAM techniques are evaluated for their multi-material design capability and manufacturing constraints. Key challenges in MMAM design are identified, including multi-material interface, advanced material response modelling, manufacturability, failure constraints, robustness, multifunctionality, and integrated design-manufacturing-validation workflow. Recommendations are made for incorporating these considerations into the optimisation framework. Future research directions are also suggested to pave the way for innovative multi-material applications.

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Publication Details

Journal
Virtual and Physical Prototyping
Published
2025-08-26
DOI
https://doi.org/10.1080/17452759.2025.2546671
Citations
7
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
4.78

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article

Multi-material additive manufacturing: a computational design perspective

Guha Manogharan, Xiaochen Yu, Ajit Panesar, Jacklyn Griffis
7 citations
Virtual and Physical Prototyping
Additive Manufacturing and 3D Printing Technologies
4.78
article

Multi-material additive manufacturing: a computational design perspective

Guha Manogharan, Xiaochen Yu, Ajit Panesar, Jacklyn Griffis
article en
7 citations

Abstract

Multi-material additive manufacturing (MMAM) unlocks unprecedented opportunities in engineering, afforded by material and geometric complexity. However, leveraging its full potential necessitates advanced computational design tools tailored to specific application needs and fabrication techniques capable of translating digital designs into physical products with minimal discrepancy. This review provides a comprehensive evaluation of computational algorithms available for multi-material design, encompassing numerical methods like topology optimisation as well as data-driven inverse design strategies. MMAM techniques are evaluated for their multi-material design capability and manufacturing constraints. Key challenges in MMAM design are identified, including multi-material interface, advanced material response modelling, manufacturability, failure constraints, robustness, multifunctionality, and integrated design-manufacturing-validation workflow. Recommendations are made for incorporating these considerations into the optimisation framework. Future research directions are also suggested to pave the way for innovative multi-material applications.

Virtual and Physical PrototypingVol. 20(1)
Pennsylvania State University (US), Imperial College London (GB)
Science Fund for Distinguished Young Scholars of Fujian Province
Openalex Percentile: Top 5%
Additive Manufacturing and 3D Printing Technologies
4.78
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Multi-material additive manufacturing: a computational design perspective — Guha Manogharan, Xiaochen Yu, et al. · Virtual and Physical Prototyping (2025) | TGRS Research Map | TGRS