Data Input & Process Control:
Slurry feedstock data input and coating parameter configuration
1D coating thickness distribution mapping
Real-time thickness monitoring with early warning for out-of-spec data
Dynamic simulation visualization and results interface
Viscosity Analytics:
Generates real-time slurry viscosity data using initial viscosity, storage tank power, liquid level, and rotational speed
Flow Rate Analytics:
Calculates real-time slurry flow rate based on pump pressure, coating chamber size, and average gap pressure
Thickness Prediction:
Derives real-time coating thickness from viscosity data, coating speed, gap settings, T-block clearance, and flow rate
Integrates simulation mechanism models with AI deep learning algorithms for efficient model calibration. Enables real-time thickness monitoring with early anomaly detection, dynamic simulation visualization, and data-driven decision support for coating process optimization.