Model predictive control with inline parameter adaptation for direct crystal growth rate regulation
Abstract In batch cooling crystallization, many interactive factors, including supersaturation, reactor dimensions, and operating conditions, govern crystal growth and significantly influence product properties. Variables such as temperature or refractive index are used as surrogate control variables but have limitations in capturing growth rate ...
Huitian Yu, Jiewen Zhao, Heiko Briesen
wiley +1 more source
A FEM-Based Machine Learning Framework for Online Stress Field Estimation in Hydropower Regulating Rings. [PDF]
Ribeiro Junior RF +5 more
europepmc +1 more source
Research on the performance inspection of large-span cable-stayed bridges under multi-physics field information guidance. [PDF]
Jiaqing L +3 more
europepmc +1 more source
Physics-Guided Decision-Support Framework for Melt Pool Prediction and Process Stability in Laser Powder Bed Fusion of Nitinol. [PDF]
Rangaswamy S +7 more
europepmc +1 more source
From LLM to FEM: Low-Rank Adaptation for Noise-Robust Structural Damage Detection. [PDF]
Kim J, Kang H, Chang S.
europepmc +1 more source
Adaptive Inverse Control Using the Krasnosel'skii-Pokrovskii Model for Hysteresis Compensation in Piezoelectric Flexure Micro-Positioning Stage. [PDF]
Chen Y, Lou H, Wang J, Liu S.
europepmc +1 more source
A closed-loop framework integrating robotic inspection and digital twins for fatigue prognosis of in-service steel bridges. [PDF]
Li X, Fu Z, Guo H, Ji B, Xu Z.
europepmc +1 more source

