Numerical model of jet formation during melt electrowriting for fabrication of precise structures DOI

Xiaodan Huo,

Huinan Lai, Qian Wu

и другие.

Additive manufacturing, Год журнала: 2024, Номер unknown, С. 104569 - 104569

Опубликована: Ноя. 1, 2024

Язык: Английский

Materials and Strategies to Enhance Melt Electrowriting Potential DOI Creative Commons

Paula G. Saiz,

Ander Reizabal, José Luis Vilas‐Vilela

и другие.

Advanced Materials, Год журнала: 2024, Номер 36(24)

Опубликована: Март 6, 2024

Melt electrowriting (MEW) is an emerging additive manufacturing (AM) technology that enables the precise deposition of continuous polymeric microfibers, allowing for creation high-resolution constructs. In recent years, MEW has undergone a revolution, with introduction active properties or additional functionalities through novel polymer processing strategies, incorporation functional fillers, postprocessing, combination other techniques. While extensively explored in biomedical applications, MEW's potential fields remains untapped. Thus, this review explores characteristics from materials science perspective, emphasizing diverse range and composites processed by technique their current applications. Additionally, prospects offered postprinting techniques are explored, together synergy achieved combining melt methods. By highlighting untapped potentials MEW, aims to inspire research groups across various leverage innovative endeavors.

Язык: Английский

Процитировано

19

AI-Based Metamaterial Design DOI Creative Commons
Ece Tezsezen, Defne Yigci, Abdollah Ahmadpour

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2024, Номер 16(23), С. 29547 - 29569

Опубликована: Май 29, 2024

The use of metamaterials in various devices has revolutionized applications optics, healthcare, acoustics, and power systems. Advancements these fields demand novel or superior that can demonstrate targeted control electromagnetic, mechanical, thermal properties matter. Traditional design systems methods often require manual manipulations which is time-consuming resource intensive. integration artificial intelligence (AI) optimizing metamaterial be employed to explore variant disciplines address bottlenecks design. AI-based also enable the development by parameters cannot achieved using traditional methods. application AI leveraged accelerate analysis vast data sets as well better utilize limited via generative models. This review covers transformative impact for current challenges, emerging fields, future directions, within each domain are discussed.

Язык: Английский

Процитировано

15

Emerging Applications of Machine Learning in 3D Printing DOI Creative Commons
Izabela Rojek, Dariusz Mikołajewski, Marcin Kempiński

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(4), С. 1781 - 1781

Опубликована: Фев. 10, 2025

Three-dimensional (3D) printing techniques already enable the precise deposition of many materials, becoming a promising approach for materials engineering, mechanical or biomedical engineering. Recent advances in 3D scientists and engineers to create models with precisely controlled complex microarchitecture, shapes, surface finishes, including multi-material printing. The incorporation artificial intelligence (AI) at various stages has made it possible reconstruct objects from images (including, example, medical images), select optimize process, monitor lifecycle products. New emerging opportunities are provided by ability machine learning (ML) analyze data sets learn previous (historical) experience predictions dynamically individuate products processes. This includes synergistic capabilities ML development personalized

Язык: Английский

Процитировано

1

Electrospinning Technology, Machine Learning, and Control Approaches: A Review DOI Creative Commons
Arya Shabani, Gorkem Anil Al, Nael Berri

и другие.

Advanced Engineering Materials, Год журнала: 2025, Номер unknown

Опубликована: Фев. 13, 2025

Electrospinning is a versatile technique for producing micro‐ and nanoscale fibers, offering vast potential to address critical market demands, particularly in biomedical engineering. However, the industrial adoption of electrospinning as manufacturing technology faces significant hurdles, notably achieving precise control over fiber properties ensuring reproducibility scalability. These challenges directly impact its viability creating advanced products. Bridging gap between material properties, end‐user requirements, process parameters essential unlocking full electrospinning. This work provides comprehensive review modalities, operational factors, modeling techniques, emphasizing their role optimizing process. The use strategies machine learning methods explored, showcasing enhance performance. highlights connection product performance electrospinning, well necessary conditions applications. In addition, identifies gaps unexplored areas, roadmap future innovation fabrication. By synergy intelligent design applications, this lays groundwork advancements, positioning cornerstone next‐generation technologies.

Язык: Английский

Процитировано

1

Microstructural Effects of Melt Electrowritten-Reinforced Hydrogel Scaffolds for Engineering Thick Skin Substitutes DOI Creative Commons
Ferdows Afghah, Mine Altunbek,

Mahdiyeh Zahrabi

и другие.

ACS Applied Bio Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Engineering thick skin tissue substitutes resembling the physiochemical and mechanical properties of native is a significant challenge. Melt electrowriting (MEW) powerful technique with capability fabricating highly ordered structures fine fiber diameters, closely replicating extracellular matrix (ECM). In this study, we constructed melt electrowritten porous polycaprolactone (PCL) scaffolds three different geometries by depositing fibers at 0–90 60–120° in mesh structure honeycomb-like orientation to assess effects microstructure on strength scaffold cellular behavior. These were subsequently infilled gelatin hydrogel, encapsulating human dermal fibroblasts (HSFs) umbilical vein endothelial cells (HUVECs). Mechanical tensile tests revealed that honeycomb hybrid PCL/gelatin exhibited greater elongation failure, along an acceptable elastic modulus suitable for applications. All provided cytocompatible microenvironment maintained over 90% cell viability preserved typical morphology. HSFs guided through PCL apical surface, while HUVECs distributed within hydrogel structure. Additionally, HSFs' alignment was regulated geometry. Notably, expression CD31 HUVECs─a key transmembrane protein capillary formation─increased significantly 14 day incubation period. Among those, 0–90° showed greatest upregulation CD31. findings demonstrate microstructural guidance their interaction play crucial role promoting vascularization. conclusion, MEW-gelatin demonstrates potential effectively both physicochemical essential full-thickness substitutes.

Язык: Английский

Процитировано

0

Numerical model of jet formation during melt electrowriting for fabrication of precise structures DOI

Xiaodan Huo,

Huinan Lai, Qian Wu

и другие.

Additive manufacturing, Год журнала: 2024, Номер unknown, С. 104569 - 104569

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

0