The track "Artificial Intelligence in Laser Processing" at ICALEO 2023 explores the fusion of AI and laser manufacturing. Discover cutting-edge research on optimizing laser processes and enhancing manufacturing efficiency. Explore AI's diverse applications in parameter optimization, quality prediction, real-time process monitoring, and control. Join us to unlock the potential of AI-driven solutions revolutionizing laser materials processing, delivering unprecedented precision, productivity, and innovation.
Session Search
Day | Session | Title | Keywords |
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Tuesday | Poster Gallery | Prediction of the Interface Width in Over Lap Joint Configuration for Laser Welding of Aluminum Alloy Using Sensors |
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Tuesday | Poster Gallery | Identification of Solidification Cracking Using Multiple Sensors and Deep Learning in Laser Overlap Welded Al 6000 Alloy |
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Wednesday | Applications in Manufacturing I | AI in Laser Cutting - Insights Into Recent Achievements |
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Wednesday | Applications in Manufacturing I | Prediction of Clad Quality in Laser Metal Deposition Using Dissimilar Materials: Performance Comparison of Machine Learning-Based Approaches |
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Wednesday | Applications in Manufacturing I | Predictive Modeling of Lattice Structure Design for 316L Stainless Steel Using Machine Learning in the L-PBF Process |
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Wednesday | Applications in Manufacturing I | Data-Driven Density Prediction of AlSi10Mg Parts Produced by Laser Powder Bed Fusion Using Machine Learning and Finite Element Simulation |
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Wednesday | Applications in Manufacturing II | Prediction of Hardness and Phase Distributions in Laser Heat Treatment of AH36 Steel Using Deep Learning |
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Wednesday | Applications in Manufacturing II | Optimizing the Ultra-Short-Pulsed Laser Machining of Silicon and Germanium With Machine Learning for Highest Throughput and Quality |
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Wednesday | Applications in Manufacturing II | Use of AI for Laser Cutting and Structuring |
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Wednesday | Process Control | Development and Comparison of Different Algorithms for Beam Stabilization in Ultrashort Pulsed Lasers Equipped to a 6-Axis Robot |
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Wednesday | Process Control | Intelligent Neural Sensor for Powder Clogging Prediction in Laser Cladding: A Machine Learning Approach to Optimize Process Control |
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Wednesday | Process Control | AI-Based Process Control for Laser Manufacturing Processes Using Multi-Sensor Conceptions |
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Wednesday | Process Control | Real-Time Laser-Beam Absorptance Monitoring in Laser Welding Using Ai-Based Keyhole Reconstruction and Regression |
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Wednesday | Process Control | Making the Virtually Invisible Visible - Sophisticated AI Models Based on Seamless In-Process Information Enable More Product Safety |
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