[HTML][HTML] Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions
Inspired by the natural intelligence of humans and bio-evolution, Artificial Intelligence (AI)
has seen accelerated growth since the beginning of the 21st century. Successful AI …
has seen accelerated growth since the beginning of the 21st century. Successful AI …
[HTML][HTML] AI-based optimisation of total machining performance: A review
K Ullrich, M von Elling, K Gutzeit, M Dix… - CIRP Journal of …, 2024 - Elsevier
Advanced modelling and optimisation techniques have been widely used in recent years to
enable intelligent manufacturing and digitalisation of manufacturing processes. In this …
enable intelligent manufacturing and digitalisation of manufacturing processes. In this …
Safety-aware cascade controller tuning using constrained Bayesian optimization
This article presents an automated, model-free, data-driven method for the safe tuning of PID
cascade controller gains based on Bayesian optimization. The optimization objective is …
cascade controller gains based on Bayesian optimization. The optimization objective is …
Parameter identification of cutting forces in crankshaft grinding using artificial neural networks
The intensifying of the manufacturing process and increasing the efficiency of production
planning of precise and non-rigid parts, mainly crankshafts, are the first-priority task in …
planning of precise and non-rigid parts, mainly crankshafts, are the first-priority task in …
Performance-driven cascade controller tuning with Bayesian optimization
In this article, we propose a performance-based autotuning method for cascade control
systems, where the parameters of a linear axis drive motion controller from two control loops …
systems, where the parameters of a linear axis drive motion controller from two control loops …
Optimization for liquid cooling cylindrical battery thermal management system based on Gaussian process model
The power of electric vehicles (EVs) comes from lithium-ion batteries (LIBs). LIBs are
sensitive to temperature. Too high and too low temperatures will affect the performance and …
sensitive to temperature. Too high and too low temperatures will affect the performance and …
Advances in artificial intelligence methods applications in industrial control systems: Towards cognitive self-optimizing manufacturing systems
Industrial control systems play a central role in today's manufacturing systems. Ongoing
trends towards more flexibility and sustainability, while maintaining and improving …
trends towards more flexibility and sustainability, while maintaining and improving …
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines
S De Blasi, M Bahrami, E Engels… - Journal of Intelligent …, 2024 - Springer
Intelligent manufacturing applications and agent-based implementations are scientifically
investigated due to the enormous potential of industrial process optimization. The most …
investigated due to the enormous potential of industrial process optimization. The most …
[HTML][HTML] Autonomous and data-efficient optimization of turning processes using expert knowledge and transfer learning
Process parameters in machining are predominantly selected by following manual tuning
procedures. Using data from the system and dedicated performance indicators combined …
procedures. Using data from the system and dedicated performance indicators combined …
Al-promp: Force-relevant skills learning and generalization method for robotic polishing
Y Wang, C Chen, F Peng, Z Zheng, Z Gao… - Robotics and Computer …, 2023 - Elsevier
Skill learning in robot polishing is gaining attention and becoming a hot issue. Current
studies on skill learning in robot polishing are mainly about trajectory skills, and force …
studies on skill learning in robot polishing are mainly about trajectory skills, and force …