Machine learning-based image processing for on-line defect recognition in additive manufacturing

2019/01/01 by Alessandra Caggiano, Jianjing Zhang, Vittorio Alfieri +4 · 24 citations
Engineering · #Additive Manufacturing Materials and Processes #Additive Manufacturing and 3D Printing Technologies #Welding Techniques and Residual Stresses

paper · doi:10.1016/j.cirp.2019.03.021

Cited by

• The DigitalTwin from an Artificial Intelligence Perspective
• Towards intelligent defect detection in metal powder bed fusion: A review of in situ monitoring, data pre-processing, and machine learning
• On the Relevance of Volumetric Energy Density in the Investigation of Inconel 718 Laser Powder Bed Fusion. [europepmc]
• Path Planning Strategies to Optimize Accuracy, Quality, Build Time and Material Use in Additive Manufacturing: A Review. [europepmc]
• A Perspective on Using Machine Learning in 3D Bioprinting. [europepmc]
• Using Deep Learning to Detect Defects in Manufacturing: A Comprehensive Survey and Current Challenges. [europepmc]
• Inline Quality Control through Optical Deep Learning-Based Porosity Determination for Powder Bed Fusion of Polymers. [europepmc]
• Optimized 3D Bioprinting Technology Based on Machine Learning: A Review of Recent Trends and Advances. [europepmc]
• MR-YOLO: An Improved YOLOv5 Network for Detecting Magnetic Ring Surface Defects. [europepmc]
• Evaluating Urban Vitality of Street Blocks Based on Multi-Source Geographic Big Data: A Case Study of Shenzhen. [europepmc]
• Review of Intelligence for Additive and Subtractive Manufacturing: Current Status and Future Prospects. [europepmc]
• Di-CNN: Domain-Knowledge-Informed Convolutional Neural Network for Manufacturing Quality Prediction. [europepmc]
• Machine learning boosts three-dimensional bioprinting. [europepmc]
• A Survey of Image-Based Fault Monitoring in Additive Manufacturing: Recent Developments and Future Directions. [europepmc]
• Application of artificial intelligence in 3D printing physical organ models. [europepmc]
• Simultaneous Pore Detection and Morphological Features Extraction in Laser Powder Bed Fusion with Image Processing. [europepmc]
• Advanced Monitoring of Manufacturing Process through Video Analytics. [europepmc]
• Improving Rebar Twist Prediction Exploiting Unified-Channel Attention-Based Image Restoration and Regression Techniques. [europepmc]
• Interpretable Machine Learning-Based Influence Factor Identification for 3D Printing Process-Structure Linkages. [europepmc]
• Design, Development, and Testing of Machine Learning Models to Estimate Properties of Friction Stir Welded Joints. [europepmc]
• Enhancing Powder Bed Fusion-Laser Beam Process Monitoring: Transfer and Classic Learning Techniques for Convolutional Neural Networks. [europepmc]
• Fringe-Based Structured-Light 3D Reconstruction: Principles, Projection Technologies, and Deep Learning Integration. [europepmc]
• Binocular Stereo Vision-Based Structured Light Scanning System Calibration and Workpiece Surface Measurement Accuracy Analysis. [europepmc]
• Artificial Intelligence in Metal Additive Manufacturing: Applications in Design, Process Modeling, Monitoring, and Quality Optimization. [europepmc]