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A semi-theoretical model for simulating the temporal evolution of moisture-temperature during industrial fluidized
Hossein Amini1, Xiaorong He2, Yin-Chao Tseng2
1Otto H. York Department of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
Summary
A new model accurately predicts moisture-temperature changes during fluidized bed granulation (FBG). This simulation tool helps optimize industrial granulation processes by understanding how parameters affect granule properties.
Area of Science:
- Chemical Engineering
- Materials Science
Background:
- Fluidized bed granulation (FBG) is crucial for producing granules with desired properties.
- Moisture content significantly influences granule characteristics during FBG.
- Accurate simulation of moisture-temperature dynamics is essential for process control and optimization.
Purpose of the Study:
- To develop and validate a semi-theoretical model for simulating temporal evolution of bed moisture-temperature in FBG.
- To integrate this model into a global process model (GPM) for predicting FBG behavior under various operating conditions.
- To investigate the impact of key process parameters on moisture-temperature profiles using the developed GPM.
Main Methods:
- Developed a droplet-based evaporation rate model coupled with moisture mass-enthalpy balances.
- Fitted model parameters using experimental data from a GPCG30 unit.
- Constructed a global process model (GPM) where evaporation parameters were functions of inlet air temperature, binder concentration, and spray rate.
- Validated the GPM using an independent dataset.
Main Results:
- The semi-theoretical model accurately described moisture-temperature evolution with only two fitting parameters.
- The GPM demonstrated excellent predictive capability, successfully simulating a separate dataset.
- Numerical simulations confirmed the GPM's ability to predict established trends in moisture-temperature profiles.
- The model proved effective across a wide range of operating conditions.
Conclusions:
- Simple process models, like the developed GPM, offer a practical approach for predicting time-dependent moisture-temperature profiles in industrial FBG.
- The GPM provides valuable insights into process parameter impacts, aiding in optimization.
- The study highlights the utility and limitations of simplified models in complex industrial granulation processes.
Keywords:
Evaporation rateFluidized bed granulationModelingMoistureParameter estimationProcess simulationMore Related Videos
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