Predicting the dimensional variation of geometries produced through FDM 3D printing employing supervised machine learning

Predicting the dimensional variation of geometries produced through FDM 3D printing employing supervised machine learning

One of the most popular techniques of Additive Manufacturing (AM) being used currently is Fused Deposition Modelling (FDM). FDM is currently a nascent technology and has significant scope for improvement, particularly when it comes to the dimensional accuracy of the printed parts. The dimensional ac...

Full description

Bibliographic Details
Main Authors: Prairit Sharma, Harshal Vaid, Ritam Vajpeyi, Pritish Shubham, Krishna Mohan Agarwal, Dinesh Bhatia
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-01-01
Series:Sensors International
Subjects:
Additive manufacturing
Fused deposition modelling
Machine learning
Artificial intelligence
3D printing
Online Access:http://www.sciencedirect.com/science/article/pii/S2666351122000390

Internet

http://www.sciencedirect.com/science/article/pii/S2666351122000390

Similar Items