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Fluidics-Informed Fabrication: A Novel Co-design for Additive Manufacturing Framework

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Engineering Psychology and Cognitive Ergonomics (HCII 2023)

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Effective design for additive manufacturing (DfAM) tools for ensuring digital models are 3D printable are crucial for realizing the benefits of this burgeoning fabrication technology. However, existing tools do not allow engineers to co-design the part itself for the manufacturing process, instead imposing cumbersome support structures on the model after the design stage. Here, we present a physics-informed generative design framework allowing designers to readily take into account complex printing process fluid dynamics concurrent with 3D model development, facilitating printability and multimaterial printing.

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Correspondence to Joseph M. DeSimone .

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Lipkowitz, G., Shaqfeh, E.S.G., DeSimone, J.M. (2023). Fluidics-Informed Fabrication: A Novel Co-design for Additive Manufacturing Framework. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2023. Lecture Notes in Computer Science(), vol 14018. Springer, Cham.

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  • Print ISBN: 978-3-031-35388-8

  • Online ISBN: 978-3-031-35389-5

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