Powder Bed Defect Extraction of Laser Powder Bed Fusion Additive Manufacturing with Tensor Robust Principal Component Analysis-Reference-Cited by-同舟云学术

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Powder Bed Defect Extraction of Laser Powder Bed Fusion Additive Manufacturing with Tensor Robust Principal Component Analysis

Published:2024-05-20 Issue: Volume:25 Page:1-6
ISSN:
Container-title:2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
language:
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Author:

Jiang Hao¹,Zhang Xingwu¹,Zhao Zhibin¹,Wang Chenxi¹,Miao Huihui¹,Chen Xuefeng¹

Affiliation:

1. School of Mechanical Engineering Xi'an Jiaotong University,Xi’an,China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560479/10560519/10560776.pdf?arnumber=10560776

Reference12 articles.

1. In Situ Monitoring of Additive Manufacturing Using Digital Image Correlation: A Review

2. A Review of Diagnostics Methodologies for Metal Additive Manufacturing Processes and Products

3. Layer-wise anomaly detection and classification for powder bed additive manufacturing processes: A machine-agnostic algorithm for real-time pixel-wise semantic segmentation

4. A multi-scale convolutional neural network for autonomous anomaly detection and classification in a laser powder bed fusion additive manufacturing process

5. Anomaly detection and classification in a laser powder bed additive manufacturing process using a trained computer vision algorithm

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