Melt pool level flaw detection in laser hot wire directed energy deposition using a convolutional long short-term memory autoencoder

Author:

Abranovic BrandonORCID,Sarkar SulagnaORCID,Chang-Davidson ElizabethORCID,Beuth Jack

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Engineering (miscellaneous),General Materials Science,Biomedical Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Decoding Abnormal Heart Patterns: ECG Anomaly Detection Using MobileNet50 CNN Autoencoder Method;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

2. Interpreting Deviant Heart Patterns: Applying MobileNet CNN Autoencoder for ECG Anomaly Detection;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03

3. Development of Hot-Wire Laser Additive Manufacturing for Dissimilar Materials of Stainless Steel/Aluminum Alloys;Journal of Manufacturing and Materials Processing;2024-04-30

4. A Review on Wire-Laser Directed Energy Deposition: Parameter Control, Process Stability, and Future Research Paths;Journal of Manufacturing and Materials Processing;2024-04-20

5. Forming Control via Interval Width in Directed Energy Deposition-Arc Process;Metals;2024-02-07

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