#process-control News & Analysis

3 articles tagged with #process-control. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · Jun 235/10

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Physics-Guided Spatiotemporal State Space Modeling for Lookahead Molten Pool Segmentation in Laser Wire-Feed Welding

Researchers have developed WeldMamba, a physics-guided AI model that predicts the future state of molten pools in laser wire-feed welding 500 milliseconds in advance by analyzing historical images and process parameters. This lookahead capability addresses the critical challenge of sensor-to-actuator delays in closed-loop welding control systems, achieving 74.63% mIoU accuracy on a 43-sequence dataset.

AIBullisharXiv – CS AI · Jun 196/10

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Multi-Head Attention-Based Feature Extractor Integration with Soft Actor-Critic for Porosity Prediction and Process Parameter Optimization in Additive Manufacturing

Researchers developed a machine learning system combining multi-head attention mechanisms with Soft Actor-Critic reinforcement learning to optimize additive manufacturing processes and predict porosity defects. The approach demonstrates faster convergence and superior performance compared to existing RL algorithms, achieving a convergence value of 322.79 within 14 episodes.

AINeutralarXiv – CS AI · Mar 174/10

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Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control

Researchers introduce IL-CIRL, a framework combining Iterative Learning Control with Deep Reinforcement Learning to address safety risks and stability issues in industrial batch process control. The method uses Kalman filter-based state estimation to guide DRL agents toward safer, constraint-satisfying control policies.