[HTML][HTML] Research and application of machine learning for additive manufacturing
Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …
Research and application of artificial intelligence techniques for wire arc additive manufacturing: a state-of-the-art review
Recent development in the Wire arc additive manufacturing (WAAM) provides a promising
alternative for fabricating high value-added medium to large metal components for many …
alternative for fabricating high value-added medium to large metal components for many …
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing
Semantic segmentation is a promising machine learning (ML) method for highly precise fine-
scale defect detection and part qualification in additive manufacturing (AM). Most existing …
scale defect detection and part qualification in additive manufacturing (AM). Most existing …
Applying machine learning to wire arc additive manufacturing: a systematic data-driven literature review
Due to its unique benefits over standard conventional “subtractive” manufacturing, additive
manufacturing is attracting growing interest in academic and industrial sectors. Here, special …
manufacturing is attracting growing interest in academic and industrial sectors. Here, special …
Deep learning-based welding image recognition: A comprehensive review
The reliability and accuracy of welding image recognition (WIR) is critical, which can largely
improve domain experts' insight of the welding system. To ensure its performance, deep …
improve domain experts' insight of the welding system. To ensure its performance, deep …
A Survey of Image-Based Fault Monitoring in Additive Manufacturing: Recent Developments and Future Directions
Additive manufacturing (AM) has emerged as a transformative technology for various
industries, enabling the production of complex and customized parts. However, ensuring the …
industries, enabling the production of complex and customized parts. However, ensuring the …
[HTML][HTML] High geometric fidelity through closed-loop control of the weld pool size in gas metal arc welding based direct energy deposition
M Scheck, A Richter, S Beitler, T Gehling, K Treutler… - Additive …, 2024 - Elsevier
Arc based direct energy deposition combines the flexibility of additive manufacturing with
high build rates and low investment costs. However, high geometric fidelity of manufactured …
high build rates and low investment costs. However, high geometric fidelity of manufactured …
Deep learning-based framework for the observation of real-time melt pool and detection of anomaly in wire-arc additive manufacturing
Object detection has become a popular tool of deep learning in the era of digital
manufacturing. In this study, the most powerful and efficient object detection algorithm, ie …
manufacturing. In this study, the most powerful and efficient object detection algorithm, ie …
Deep learning-based image segmentation for defect detection in additive manufacturing: An overview
Additive manufacturing (AM) applications are rapidly expanding across multiple domains
and are not limited to prototyping purposes. However, achieving flawless parts in medical …
and are not limited to prototyping purposes. However, achieving flawless parts in medical …
Indirect porosity detection and root-cause identification in WAAM
JYII Alcaraz, W Foqué, A Sharma… - Journal of Intelligent …, 2024 - Springer
Due to the complexity of the Wire-arc Additive Manufacturing (WAAM) process, it is prone to
the occurrence of defects in the product. One of the most common defects is porosity, which …
the occurrence of defects in the product. One of the most common defects is porosity, which …