Simulation-based characterization of alginate aerogel packed bed compaction via DEM-BPM

The global demand for aerogels is constantly growing, thus, optimizing and scaling up the production processes have become increasingly important in the last decade. The utilization of millimeter-sized aerogel particles for such purposes is typically preferred due to inherent advantages in handling and production compared to other geometries. The production of these particles is most commonly accomplished using a particle packed bed (autoclave). This process presents, however, several challenges, including the impact of mechanical loads on the quality of the product. Therefore, this work focuses on deepening the understanding of mechanical properties and deformation mechanisms of aerogel particles in packed beds under uniaxial compaction. The investigated alginate aerogel particles are characterized by a spherical shape (circularity of 0.96), a specific surface area of ∼352 m 2 /g, an average diameter of ∼3.3 mm, and a bulk density of ∼0.05 g/cm 3 . In addition, this study extends a DEM-BPM model to capture the mechanical deformation of biopolymer aerogels, both as individual particles and within packed beds. The simulations were calibrated and validated using experimental data from uniaxial compaction tests. An optimization methodology was implemented to reduce reliance on traditional trial-and-error methods and improve the model's accuracy. The results demonstrate that the proposed DEM-BPM model effectively replicates the mechanical behavior of alginate aerogels, showing strong agreement between experimental data and minimal deviations for both single particles and packed beds (R 2 ≥ 0.93). This model serves as a promising tool for gaining deeper insights into the mechanical properties of aerogels and improving production efficiency. Additionally, the DEM-BPM model can be expanded to incorporate intermediate products, such as hydrogels and alcogels, enabling process optimization at every stage of aerogel manufacturing. • Mechanical and simulation characterization aerogels under uniaxial compaction. • DEM-BPM model accurately simulates single aerogel and packed beds of aerogels. • Strong correlation between experiments and simulations. • Proposed optimization methodology enhances aerogel production efficiency. • High potential to extend the simulation model to intermediate stages as hydrogels and alcogels.

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Publication Details

Journal
Powder Technology
Published
2025-04-18
DOI
https://doi.org/10.1016/j.powtec.2025.121048
Citations
1
Primary Topic
Aerogels and thermal insulation
Type
article
Field-Weighted Citation Impact
0.76
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article

Simulation-based characterization of alginate aerogel packed bed compaction via DEM-BPM

Irina Smirnova, Stefan Heinrich, Baldur Schroeter, C.L. Alves et al.
1 citations
Powder Technology
Aerogels and thermal insulation
0.76
article

Simulation-based characterization of alginate aerogel packed bed compaction via DEM-BPM

Irina Smirnova, Stefan Heinrich, Baldur Schroeter, C.L. Alves, Lara Gibowsky
article en
1 citations

Abstract

The global demand for aerogels is constantly growing, thus, optimizing and scaling up the production processes have become increasingly important in the last decade. The utilization of millimeter-sized aerogel particles for such purposes is typically preferred due to inherent advantages in handling and production compared to other geometries. The production of these particles is most commonly accomplished using a particle packed bed (autoclave). This process presents, however, several challenges, including the impact of mechanical loads on the quality of the product. Therefore, this work focuses on deepening the understanding of mechanical properties and deformation mechanisms of aerogel particles in packed beds under uniaxial compaction. The investigated alginate aerogel particles are characterized by a spherical shape (circularity of 0.96), a specific surface area of ∼352 m 2 /g, an average diameter of ∼3.3 mm, and a bulk density of ∼0.05 g/cm 3 . In addition, this study extends a DEM-BPM model to capture the mechanical deformation of biopolymer aerogels, both as individual particles and within packed beds. The simulations were calibrated and validated using experimental data from uniaxial compaction tests. An optimization methodology was implemented to reduce reliance on traditional trial-and-error methods and improve the model's accuracy. The results demonstrate that the proposed DEM-BPM model effectively replicates the mechanical behavior of alginate aerogels, showing strong agreement between experimental data and minimal deviations for both single particles and packed beds (R 2 ≥ 0.93). This model serves as a promising tool for gaining deeper insights into the mechanical properties of aerogels and improving production efficiency. Additionally, the DEM-BPM model can be expanded to incorporate intermediate products, such as hydrogels and alcogels, enabling process optimization at every stage of aerogel manufacturing. • Mechanical and simulation characterization aerogels under uniaxial compaction. • DEM-BPM model accurately simulates single aerogel and packed beds of aerogels. • Strong correlation between experiments and simulations. • Proposed optimization methodology enhances aerogel production efficiency. • High potential to extend the simulation model to intermediate stages as hydrogels and alcogels.

Powder TechnologyVol. 460
Universität Hamburg (DE), Hamburg University of Technology (DE)
Openalex Percentile: Top 32%
Aerogels and thermal insulation
0.76
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