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Item type:Publication, Access status: with files , Advanced approximation method with a convergence acceleration parameter for multidimensional aggregation model(Elsevier, 2027-08-03); ; This study presents a highly efficient and accurate approximate method based on a convergence acceleration parameter to approximate a nonlinear multidimensional aggregation population balance equation. Optimal tuning of the acceleration parameter significantly enhances solution quality over extended temporal domains and overcomes key limitations of existing approaches. Deeper mathematical insight is provided through a discussion of the existence of the proposed approach within the framework of a nonlinear aggregation model. Convergence analysis and error estimates are established using the fixed point theorem and the contractive mapping principle, thereby proving the existence of solutions to the aggregation model. The accuracy and efficiency of the proposed approach are demonstrated by computing approximate solutions for the number density function and its moments for physically relevant kernels. For analytically tractable kernels, results are validated against exact solutions. For complex size-dependent kernels, including polymerization, Ruckenstein–Pulvermacher, and shear kernels, the obtained results are compared with the existing finite volume scheme, homotopy analysis method, and optimal decomposition method. The results show that the proposed approach achieves higher accuracy in capturing number density functions and their integral moments while requiring significantly fewer series terms than existing methods.Publicationtype: Journal Article16 7 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Influence of fluidized bed process parameters and material properties on plant powder characteristics and reconstitution behaviorPlant-based milk alternatives (PBMAs) are increasingly used in food applications owing to their nutritional value and lower environmental impact compared with conventional dairy products. However, their successful reconstitution remains challenging because plant proteins and dietary fibers promote lump formation, thereby impairing wetting and dissolution. Although fluidized bed agglomeration is widely applied to improve the instant properties of food powders, the combined influence of formulation composition and process parameters on the reconstitution behavior of PBMAs has not yet been systematically investigated. In this study, three representative PBMA formulations with different dominant compositional characteristics were agglomerated in a fluidized bed. A statistical Design of Experiments (DoE) approach was applied to investigate the interaction between formulation composition and fluidized bed process parameters on powder structure, wettability and lump formation during reconstitution. The results identified liquid spray rate and spray air pressure as the dominant process parameters governing agglomerate growth, while formulation composition strongly affected powder wettability. The protein- and fiber-enriched formulations exhibited larger contact angles and reduced wettability than the carbohydrate-rich reference formulation. Furthermore, contact angle correlated with lump diameter, indicating that wetting represents a rate-limiting step during powder reconstitution. The generated DoE models provide a framework for formulation-specific adjustment of fluidized bed process parameters to tailor powder structure and minimize lump formation.Publicationtype: Journal Article8 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Scalable dry processing of solid-state battery cathode composites via high-intensity mixing and assisted fluidized beds(Elsevier, 2027-01-15); ; ; ; This study investigates the scalable mixing capability of a vibration jet-assisted fluidized bed as well as a high-intensity mixer for the dry mixing of cathode composites for solid-state battery (SSB) cathodes. Despite having different working principles, both processes yield comparable microstructural and thus electrochemical results, proving their applicability for SSB manufacturing. Correlating structural analysis via SEM image analysis with electrochemical data reveals that the discharge capacity is mainly governed by the comminution of the solid electrolyte Li3InCl6 (LIC) and the homogeneity of the microstructure which ultimately determines the heterocontact number between active material and the ionic and electronic network. For both processes the stress intensity is identified as the main cause for comminution of LIC and deagglomeration of the active material LiFePO4 (LFP) and conductive additive carbon black (CB). An inverse relationship between electronic and ionic percolation is found: the mixing process disrupts long range electronic percolation due to CB deagglomeration and LIC comminution, whereas the smaller solid electrolyte particle size significantly increases the ionic percolation and therefore cell capacity. Overall, this study proves that both processes are promising for an up-scaled dry mixing process of SSB cathode materials.Publicationtype: Journal Article6 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Powering mobile sensor nodes in fluidized beds: A non-invasive RF energy harvesting proof-of-concept(American Chemical Society (ACS), 2026-10-16); ; ; ; Real-time monitoring within industrial processing vessels is essential for advancing process analytical technology. Flow-following sensors represent an ideal approach for delivering continuous, in-line data from the process stream. However, deploying these mobile sensors is constrained by the physical barriers of sealed metallic vessels and harsh, battery-hostile environments. To overcome these limitations, a non-invasive, retrofittable wireless power transfer system is presented. The metallic vessel is structurally repurposed into a 5.23 GHz multi-mode microwave cavity resonator by coupling microwave energy through existing standard flanges. Electromagnetic simulations validate that this method generates continuous energy coverage throughout dynamic flow zones, demonstrated using a fluidized bed granulator as an application example. To harness this energy, an omnidirectional antenna and a compact RF-to-DC rectifier prototype were developed. By enabling the continuous operation of autonomous, battery-free mobile sensor nodes, this framework provides a practical, scalable foundation for high-density spatial analytics and data-driven industrial optimization.Publicationtype: Journal Article10 7 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Particle tracking in a circulating fluidized bed via borescopic high-speed imaging(Elsevier, 2026-09-17); ; ; 6 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , A new efficient framework for reduced two-dimensional nonlinear aggregation population balance models(Elsevier, 2026-08-18); ; Two-dimensional (2D) nonlinear population balance models are inherently complex due to their high computational demands and sensitivity to the choice of grid type. To address the challenge of tracking multiple properties and to provide an alternative to full 2D population balance models, we consider a reduced model that efficiently captures moisture content (tracer) and size distributions of granule in aggregation population balance equations (PBEs), under the assumption that the aggregation kernel depends solely on granule volume and time, and is independent of tracer volume. This reduced model is formulated as a tracer population balance equation (TPBE), for which we present a new and efficient discretization method that ensures conservation of tracer mass. The proposed formulation is versatile and applicable to any grid type, making it suitable for both continuous and batch particulate systems. We validate its performance using two benchmark applications: (a) batch systems and (b) mixed-suspension mixed-product removal systems. The formulation is tested across various kernels and compared against the cell average technique (CAT) to confirm its effectiveness. Results show that the proposed method achieves accuracy comparable to CAT while requiring approximately 50–60% less computational time. Overall, this approach offers a computationally efficient alternative to standard 2D models, with broad applicability in systems where reduced computational cost is critical for particle process modeling.Publicationtype: Journal Article9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Implementation of multi-level coarse-graining method on GPU using MUSEN(Elsevier, 2026-08-11); ; ; ; GPU-based discrete element method (DEM) simulations have recently gained popularity due to their ability to reduce the computational costs associated with modelling large-scale granular systems. To further enhance the efficiency of these simulations, we implement the multi-level coarse-graining (MCG) method on GPU using the open-source GPU-accelerated DEM software MUSEN. The MCG method significantly improves performance by reducing the number of simulated particles while maintaining accuracy. The key simulation parameters such as the Verlet distance and the interval of performing refinement or coarsening of particles are optimized to maximize computational efficiency. The MCG-GPU method is validated using a hopper discharge system, achieving a speedup of about 3.4× compared to the MCG-CPU simulation. The robustness of this method is further demonstrated through its application to two industrial systems: a tablet-press feeder and a twin-screw feeder, where speedups of approximately 5.5× and 8×, respectively, are achieved relative to MCG-CPU simulations. These results affirm that the MCG-GPU method is a powerful tool for efficiently conducting large-scale particle simulations with complex geometries.Publicationtype: Journal Article45 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Influence of surface roughness on the tangential coefficient of restitution in particle-particle collisionsIn this experimental study, two highly spherical 1.5 mm sized zirconia particles are brought into collision in free space at moderate impact velocities and at different collision angles. The collision is recorded by two synchronized high-speed cameras and the particle movements are analyzed in three dimensions. The focus of the investigation is on the tangential restitution coefficient, which depends on the collision angle. Several series of experiments are carried out with varying surface roughness of the particles adjusted by mechanical treatment. It is shown that even at relatively low surface roughness levels, the tangential restitution coefficient tends to exhibit strong inconsistency in the form of scattering, which increases with increasing surface roughness. Nevertheless, the fundamental dependence on the collision angle remains unaffected by the parameter variations carried out in this study.Publicationtype: Journal Article13 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Multi-objective inverse identification of meso-scale parameters of bonded particle model of frozen particle systems(Elsevier, 2026-06-29); ; ; Calibrating bond parameters in Bonded-Particle Model (BPM) simulations remains a fundamental challenge due to the mesoscale nature of these parameters. Neither macroscopic mechanical tests nor microscopic characterization techniques can directly measure their properties. Furthermore, the macroscopic response is governed by strongly coupled parameters, leading to non-unique inverse solutions. This study introduces a hybrid inverse calibration framework with Tikhonov regularization based on a scalarized multi-objective formulation that integrates global parameter-space exploration to determine bond parameters. The methodology simultaneously considers uniaxial compression, three-point bending, and shear tests, ensuring consistency across loading modes. The framework is demonstrated on saturated spherical glass-bead specimens as a controlled model frozen particle system, and is applied across multiple temperatures and two representative loading rates, identifying condition-specific bond-parameter sets whose trends are consistent with the physical behavior of ice bonds.Publicationtype: Journal Article25 6 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , A note on the analytical approach and its efficiency for solving multivariate breakage population balance equationsBreakage population balance equations are of significant importance in powder technology, specifically in the processes which involve reduction of particle size, milling, granulation and material refinement. The dynamics of breakage process can be captured well by multivariate formulations but are challenging to solve due to strong non-linearity and contributions from internal and external coordinates. To address these challenges, a semi-analytical technique based on the homotopy of functions is employed to solve linear and collisional breakage equations in a multivariate framework. Accuracy and computational performance of the proposed method are validated with respect to the Adomian decomposition method and finite volume method. Numerical results show that the proposed homotopy-based method outperforms both the existing techniques in terms of computational accuracy. Thus, homotopy analysis method can be considered as a robust and powerful tool to solve intricate multivariate particulate problems arising in scientific research and industrial applications.Publicationtype: Journal Article7