Integrating Machine Learning into Additive Manufacturing of Metallic Biomaterials: A Comprehensive Review
The global increase in osteomuscular diseases, particularly bone defects and fractures, has driven the growing demand for metallic implants. Additive manufacturing (AM) has emerged as a transformative technology for producing high-precision metallic biomaterials with customized properties, offering...
Saved in:
| Main Authors: | Shangyan Zhao, Yixuan Shi, Chengcong Huang, Xuan Li, Yuchen Lu, Yuzhi Wu, Yageng Li, Luning Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Journal of Functional Biomaterials |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-4983/16/3/77 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Key factors and developmental directions with regard to metal additive manufacturing
by: LI Ang, et al.
Published: (2019-02-01) -
Advanced Sustainable Architectural Acoustics Through Robotic Extrusion-Based Additive Manufacturing (EAM) of Fungal Biomaterials
by: Alale Mohseni, et al.
Published: (2025-05-01) -
Critical statistical assessment of data in metal additive manufacturing
by: Raymond Wong, et al.
Published: (2025-08-01) -
A Reflection on the Use of Additive Manufacturing in Nephrology for Education and Surgical Planning
by: Azhar Equbal, et al.
Published: (2020-01-01) -
Preparation and characterization of copper parts printed by electrochemical additive manufacturing process
by: Xin Li, et al.
Published: (2025-06-01)