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The present research work was designed to optimize the dehydration temperatures (50, 60, 70, and 80 ℃) for potato, banana, and bell pepper slices. Finite element method (FEM) utilizing a 2D axisymmetric model was developed using COMSOL Multiphysics simulation software to predict the spatial heat and mass transfer (HMT) distribution at the optimized temperature condition. The isotropic and anisotropic shrinkages were found suitable for banana and potato slices, respectively for the Arbitrary Lagrangian–Eulerian (ALE) approach, while the ALE approach was not accounted for bell pepper slice due to uneven shrinkage that appeared during dehydration. The computational outcomes were in accordance with the experimental results. The performance of the simulated models and accuracy were adjudged using statistical approach including mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), and chi-square (χ2) values. The successful application of the presented approach allowed the visualization of realistic HMT phenomena at different desired locations (contour plots) within the slices during dehydration, which would be useful for dehydrating material quality assessment and management during real-time processing.

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Shrinkage Kinetics of Dehydrating Materials Using the Arbitrary Lagrangian–Eulerian (ALE) Approach in Finite Element Modeling

  • 会议论文

  • 发表日期：

    2025年

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  • Rahul Das,
  • Kamlesh Prasad

摘要

The present research work was designed to optimize the dehydration temperatures (50, 60, 70, and 80 ℃) for potato, banana, and bell pepper slices. Finite element method (FEM) utilizing a 2D axisymmetric model was developed using COMSOL Multiphysics simulation software to predict the spatial heat and mass transfer (HMT) distribution at the optimized temperature condition. The isotropic and anisotropic shrinkages were found suitable for banana and potato slices, respectively for the Arbitrary Lagrangian–Eulerian (ALE) approach, while the ALE approach was not accounted for bell pepper slice due to uneven shrinkage that appeared during dehydration. The computational outcomes were in accordance with the experimental results. The performance of the simulated models and accuracy were adjudged using statistical approach including mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), and chi-square (χ2) values. The successful application of the presented approach allowed the visualization of realistic HMT phenomena at different desired locations (contour plots) within the slices during dehydration, which would be useful for dehydrating material quality assessment and management during real-time processing.