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Machine Learning in3D and 4D Printing ofPolymer Composites: AReview Malashin IvanMasich IgorTynchenko Vadim2024 год

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

Дополнительные ссылки: eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: Machine Learning in 3D and 4D Printing of Polymer Composites: A Review : научное издание / I. I. Malashin [et al.]. - Текст : непосредственный // Polymers. - 2024. - Т. 16, № 22. - P. 3125. - ISSN 2073-4360, DOI 10.3390/polym16223125.
Аннотация: <jats:p>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.</jats:p>
Год издания: 2024
Авторы: Malashin Ivan , Masich Igor , Tynchenko Vadim , Gantimurov Andrei , Nelyub Vladimir , Borodulin Aleksei , Martysyuk Dmitry , Galinovsky Andrey
Издательство: MDPI, Basel
Источник: Polymers
Выпуск: Т. 16, № 22
Номера страниц: 3125
Держатель оригинала документа: Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia, Center NTI “Digital Materials Science: New Materials and Substances”, Bauman Moscow State Technical University, 105005 Moscow, Russia, Scientific Department, Far Eastern Federal University, 690922 Vladivostok, Russia
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