3D printing and implementation of digital twins: Current trends and limitations
Fabricating objects with desired mechanical properties by utilizing 3D printing methods can
be expensive and time-consuming, especially when based only on a trial-and-error test …
be expensive and time-consuming, especially when based only on a trial-and-error test …
Artificial intelligence‐augmented additive manufacturing: insights on closed‐loop 3D printing
The advent of 3D printing has transformed manufacturing. However, extending the library of
materials to improve 3D printing quality remains a challenge. Defects can occur when …
materials to improve 3D printing quality remains a challenge. Defects can occur when …
A few shot classification methods based on multiscale relational networks
Learning information from a single or a few samples is called few-shot learning. This
learning method will solve deep learning's dependence on a large sample. Deep learning …
learning method will solve deep learning's dependence on a large sample. Deep learning …
Toward accurate fused deposition modeling 3d printer fault detection using improved YOLOv8 with hyperparameter optimization
This research article presents an enhanced YOLOv8 model with an additional feature
extraction layer integrated into the traditional YOLOv8 architecture to improve fault detection …
extraction layer integrated into the traditional YOLOv8 architecture to improve fault detection …
A low-cost multi-sensor data acquisition system for fault detection in fused deposition modelling
Fused deposition modelling (FDM)-based 3D printing is a trending technology in the era of
Industry 4.0 that manufactures products in layer-by-layer form. It shows remarkable benefits …
Industry 4.0 that manufactures products in layer-by-layer form. It shows remarkable benefits …
[HTML][HTML] A review of AI for optimization of 3D printing of sustainable polymers and composites
In recent years, 3D printing has experienced significant growth in the manufacturing sector
due to its ability to produce intricate and customized components. The advent of Industry 4.0 …
due to its ability to produce intricate and customized components. The advent of Industry 4.0 …
Predicting defects in laser powder bed fusion using in-situ thermal imaging data and machine learning
Variation in the local thermal history during the Laser Powder Bed Fusion (LPBF) process in
Additive Manufacturing (AM) can cause micropore defects, which add to the uncertainty of …
Additive Manufacturing (AM) can cause micropore defects, which add to the uncertainty of …
[HTML][HTML] Optimization of 4D/3D printing via machine learning: A systematic review
This systematic review explores the integration of 4D/3D printing technologies with machine
learning, sha** a new era of manufacturing innovation. The analysis covers a wide range …
learning, sha** a new era of manufacturing innovation. The analysis covers a wide range …
In situ process monitoring using acoustic emission and laser scanning techniques based on machine learning models
Abstract Fused Filament Fabrication (FFF) is a widely used additive manufacturing method
for obtaining prototypes with complex structures. On the other hand, Commercial FFF …
for obtaining prototypes with complex structures. On the other hand, Commercial FFF …
[HTML][HTML] Exploring the integration of digital twin and additive manufacturing technologies
This paper offers a comprehensive overview of recent advancements in digital twin
technology applied to additive manufacturing (AM), focusing on recent research trends …
technology applied to additive manufacturing (AM), focusing on recent research trends …