Geometry repeatability and prediction for personalized medical devices made using multi-jet fusion additive manufacturing

Conway, Christopher H.; McGregor, Davis J.; Antonsen, Tristan; Wood, Charles; Shao, Chenhui; King, William P.

doi:10.1016/j.addlet.2024.100200

Additive Manufacturing Letters

2024

DOI: 10.1016/j.addlet.2024.100200

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Geometry repeatability and prediction for personalized medical devices made using multi-jet fusion additive manufacturing

Christopher H. Conway,

Davis J. McGregor,

Tristan Antonsen

et al.

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Machine Learning in 3D and 4D Printing of Polymer Composites: A Review

Malashin,

Masich,

Tynchenko

et al. 2024

Polymers

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The emergence of 3D and 4D printing has transformed the field of polymer composites, facilitating the fabrication of complex structures. As these manufacturing techniques continue to progress, the integration of machine learning (ML) is widely utilized to enhance aspects of these processes. This includes optimizing material properties, refining process parameters, predicting performance outcomes, and enabling real-time monitoring. This paper aims to provide an overview of the recent applications of ML in the 3D and 4D printing of polymer composites. By highlighting the intersection of these technologies, this paper seeks to identify existing trends and challenges, and outline future directions.

show abstract

Machine Learning in 3D and 4D Printing of Polymer Composites: A Review

Malashin,

Masich,

Tynchenko

et al. 2024

Polymers

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Geometry repeatability and prediction for personalized medical devices made using multi-jet fusion additive manufacturing

Cited by 1 publication

References 51 publications

Machine Learning in 3D and 4D Printing of Polymer Composites: A Review

Machine Learning in 3D and 4D Printing of Polymer Composites: A Review

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