Machine Learning in 3D and 4D Printing of Polymer Composites: A Review DOI Open Access
Ivan Malashin, Igor Masich, В С Тынченко

и другие.

Polymers, Год журнала: 2024, Номер 16(22), С. 3125 - 3125

Опубликована: Ноя. 8, 2024

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

Язык: Английский

Recent Advances in Biomaterials and Device Technologies for Chronic Wound Healing and Tissue Repair DOI

Treesa Varghese,

Beegam L. Ramlath,

M. Unnimaya

и другие.

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 277 - 310

Опубликована: Апрель 25, 2025

Wound healing is a highly complicated event, involving re-vascularization, and re-epithelialization, followed by cellular proliferation, tissue remodeling. Recent technological interventions have great potential in managing healthy wound environment, thus reducing inflammation time while promoting repair. In addition, these inventions enhance the biocompatibility of wounds improve patient's quality life. Major breakthroughs include self-healing hydrogels, hydrocolloids, hydro-fibers, surgical sutures, wearable monitoring systems, environment-responsive dressings, negative pressure therapy devices, growth-factor-based therapy, gene stem-cell bioengineered skin substitutes. This chapter discusses recent advancements care technologies, focussing on biomaterials, biomaterial their applications.

Язык: Английский

Процитировано

0

Machine Learning in 3D and 4D Printing of Polymer Composites: A Review DOI Open Access
Ivan Malashin, Igor Masich, В С Тынченко

и другие.

Polymers, Год журнала: 2024, Номер 16(22), С. 3125 - 3125

Опубликована: Ноя. 8, 2024

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

Язык: Английский

Процитировано

3