Investigation of the Effects of 3D Printing Parameters on the Mechanical Properties of Bone Scaffolds: Experimental Study Integrated with Artificial Neural Networks

Investigation of the Effects of 3D Printing Parameters on the Mechanical Properties of Bone Scaffolds: Experimental Study Integrated with Artificial Neural Networks

Scaffolds are critical in regenerative medicine, particularly in bone tissue engineering, where they mimic the extracellular matrix to support tissue regeneration. Scaffold efficacy depends on precise control of 3D printing parameters, which determine geometric and mechanical properties, including Y...

Full description

Saved in:
Bibliographic Details
Main Authors: Rixiang Quan, Sergio Cantero Chinchilla, Fengyuan Liu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Bioengineering
Subjects:
3D printing
artificial neural network (ANN)
bioengineering
bone scaffolds
machine learning
mechanical properties
Online Access:https://www.mdpi.com/2306-5354/12/3/315
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items