Fault Classification of 3D-Printing Operations Using Different Types of Machine and Deep Learning Techniques
Fused deposition modeling (FDM), a method of additive manufacturing (AM), comprises the extrusion of materials via a nozzle and the subsequent combining of the layers to create 3D-printed objects. FDM is a widely used method for 3D-printing objects since it is affordable, effective, and easy to use....
Saved in:
| Main Authors: | Satish Kumar, Sameer Sayyad, Arunkumar Bongale |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-09-01
|
| Series: | AI |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-2688/5/4/87 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Three-Dimensional Printing of Metallic Parts by Means of Fused Filament Fabrication (FFF)
by: Irene Buj-Corral, et al.
Published: (2024-11-01) -
Classification of faults in friction stir processed composites using a machine learning and ensemble learning approach
by: Pragya Saxena, et al.
Published: (2024-01-01) -
Novel 3D printed capsule to work as an auxiliary for enteric-coating for gastroprotective drug delivery system.
by: Saniya Jawed, et al.
Published: (2024-11-01) -
A Comparative Study of Machine Learning Techniques for Predicting Mechanical Properties of Fused Deposition Modelling (FDM)-Based 3D-Printed Wood/PLA Biocomposite
by: Prashant Anerao, et al.
Published: (2025-08-01) -
A Study of Fit and Friction Force as a Function of the Printing Process for FFF 3D-Printed Piston–Cylinder Assembly
by: Philippe A. Passeraub, et al.
Published: (2024-11-01)