[HTML][HTML] Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturing
In metal additive manufacturing (AM), the material microstructure and part geometry are
formed incrementally. Consequently, the resulting part could be defect-and anomaly-free if …
formed incrementally. Consequently, the resulting part could be defect-and anomaly-free if …
Perspective: Machine learning in design for 3D/4D printing
Abstract 3D/4D printing offers significant flexibility in manufacturing complex structures with
a diverse range of mechanical responses, while also posing critical needs in tackling …
a diverse range of mechanical responses, while also posing critical needs in tackling …
Factors affecting the ageing of polymer composite: a state of art
Polymer composites have become indispensable in modern engineering applications,
presenting a unique blend of qualities, including lightweight design, high strength, and …
presenting a unique blend of qualities, including lightweight design, high strength, and …
Ultraviolet-assisted material extrusion of silicones with largely enhanced mechanical properties and isotropy
Z Ding, C Zhang, C Li, Y Zhang, Y Liu, A Lu… - Additive Manufacturing, 2024 - Elsevier
Abstract 3D printed silicone elastomers, combining the favorable physiochemical
performances of silicones with the unparalleled advantages of additive manufacturing, have …
performances of silicones with the unparalleled advantages of additive manufacturing, have …
Real-time in-process control methods of process parameters for additive manufacturing
Additive Manufacturing, also known as 3D printing, fabricates objects in a layer-by-layer
manner. In recent years, extensive efforts have been made to evolve 3D printing …
manner. In recent years, extensive efforts have been made to evolve 3D printing …
Evaluation of direct ink write processing parameter window via machine learning
X Shi, Y Sun, H Tian, H Liu - Materials Today Communications, 2024 - Elsevier
Direct ink writing 3D printing offers significant advantages for fabricating soft materials. It is a
process of forming solid parts from extruded line structures, so the uniformity and stability of …
process of forming solid parts from extruded line structures, so the uniformity and stability of …
On-Machine LTS Integration for Layer-Wise Surface Quality Characterization in MEX/P
Material Extrusion (MEX) currently stands as the most widespread Additive Manufacturing
(AM) process, but part quality deficiencies remain a barrier to its generalized industrial …
(AM) process, but part quality deficiencies remain a barrier to its generalized industrial …
Intelligent Material Extrusion Defect Prediction: CNN-SVM Integration
S Rawat, D Banerjee, P Aggarwal… - … on Advances in …, 2024 - ieeexplore.ieee.org
In this study, they propose a sophisticated model that uses a hybrid technique that combines
a Convolutional Neural Network (CNN) or Support Vector Machine (SVM) to anticipate …
a Convolutional Neural Network (CNN) or Support Vector Machine (SVM) to anticipate …