4.6 Article

Modeling Microwave Heating and Drying of Lignocellulosic Foams through Coupled Electromagnetic and Heat Transfer Analysis

Journal

PROCESSES
Volume 9, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/pr9112001

Keywords

microwave drying; microwave heating; finite element (FE); cellulose nanofibrils (CNFs); heat transfer; porous foam

Funding

  1. USDA/ARS [58-0204-0-100]
  2. USDA National Institute of Food and Agriculture [042120]
  3. Maine Agricultural and Forest Experiment Station [3861]

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A microwave drying model was developed to accurately predict the drying process of suspensions of lignocellulosic fibers. By dividing energy absorption by the heat of vaporization, a novel method was established to predict the amount of water loss during the drying process, determining the best time increments and other parameters.
Microwave drying of suspensions of lignocellulosic fibers has the potential to produce porous foam materials that can replace materials such as expanded polystyrene, but the design and control of this drying method are not well understood. The main objective of this study was to develop a microwave drying model capable of predicting moisture loss regardless of the shape and microwave power input. A microwave heating model was developed by coupling electromagnetic and heat transfer physics using a commercial finite element code. The modeling results predicted heating time behavior consistent with experimental results as influenced by electromagnetic fields, waveguide size and microwave power absorption. The microwave heating modeling accurately predicted average temperature increase for 100 cm3 water domain at 360 and 840 W microwave power inputs. By dividing the energy absorption by the heat of vaporization, the amount of water evaporation in a specific time increment was predicted leading to a novel method to predict drying. Using this method, the best time increments, and other parameters were determined to predict drying. This novel method predicts the time to dry cellulose foams for a range of sample shapes, parameters, material parameters. The model was in agreement with the experimental results.

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