Numerical Simulation of Dry Ice Compaction Process: Comparison of Drucker-Prager/Cap and Cam Clay Models with Experimental Results

Berdychowski, Maciej; Górecki, Jan; Biszczanik, Aleksandra; Wałęsa, Krzysztof

doi:10.3390/ma15165771

Cited by 15 publications

(17 citation statements)

References 27 publications

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“…The first of them, initially located inside the 20 mm dia. cylindrical section was described by means of Drucker-Prager/Cap model, using the parameters obtained from the literature [22]. On the extruded material section inside the die convergent section, elastic-plastic material model was applied with the mechanical parameters consistent with the reported simulations [24].…”

Section: Parameters Of the Extruded Materials Model: A)mentioning

confidence: 99%

“…Ram pressing is most commonly used DI compression method. Berdychowski et al 2022 described all the stages of the dry ice production process in the machine whose working system is shown schematically in Figure . 2 [22].…”

Section: Introductionmentioning

confidence: 99%

“…1. Main parts of ram extruder: 1 -compression cavity, 2 -ram, 3 -single-cavity die, 4 -loose dry ice, 5 -compressed dry ice[22]…”

mentioning

confidence: 99%

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Evaluation of Density Fields of Numerical Analysis Output of Solid Carbon Dioxide Extrusion Process

Górecki¹,

Lindner²,

Wałęsa³

2023

Adv. Sci. Technol. Res. J.

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Efforts to reduce energy consumption and explore alternative energy sources are paramount in production process research. However, a research gap exists regarding the evaluation of density fields in numerical analysis output of solid carbon dioxide (CO 2 ) extrusion. This study aims to address this gap by examining the density fields in the numerical analysis output of the extrusion process for solid CO 2 , commonly known as dry ice. Dry ice, a by-product of ammonia compounds production, requires efficient management due to its high sublimation rate. Ram pressing is a commonly used method for compressing dry ice, but the resulting product often exhibits non-uniform density fields, presenting challenges for process optimization. To bridge this research gap, an algorithm is verified for determining the percentage share of density fields in the numerical simulation results. By comparing simulations using single-and multiple-cavity dies, the algorithm provides valuable insights into the distribution of density within the extruded solid CO 2 . In overcoming the limitations of subjective comparative evaluation, this study offers objective measures for assessing and comparing numerical analysis outputs. The findings contribute to a deeper understanding and optimization of the solid CO 2 extrusion process, facilitating the production of high-density dry ice products with reduced energy consumption. In conclusion, this research not only bridges the research gap in evaluating density fields but also advances the field of solid CO 2 extrusion and waste materials management.

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Section: Parameters Of the Extruded Materials Model: A)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of Density Fields of Numerical Analysis Output of Solid Carbon Dioxide Extrusion Process

Górecki¹,

Lindner²,

Wałęsa³

2023

Adv. Sci. Technol. Res. J.

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“…Compression of the material reduces the distances between the particles of the material observed as an increase in density ρ. As the value of ρ increases, so do the values of Young's modulus E, Poisson's ratio ν, and coefficient of friction µ [17,20,22]. The behaviour of the compressed material in Phase 2 may be accurately simulated with Drucker-Prager/Cap, Cam-Clay, and Mohr-Coulomb models [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Modelling of the Process of Extrusion of Dry Ice through a Single-Hole Die Using the Smoothed Particle Hydrodynamics (SPH) Method

et al. 2022

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This article presents the outcome of research on modelling the process of the extrusion of crystalline dry ice. The purpose of this process is to densify the material and obtain pellets of several millimeters in diameter. This reduces the sublimation rate in ambient conditions of the material whose temperature in a solid state is 195 K. A lower sublimation rate means a reduction of the loss of product in its final applications, which include refrigeration and reduction of atmospheric emissions of gaseous CO2. A ram-type extruder was considered in this analysis, in which dry ice was extruded through a single-hole die of varying geometry. The article presents the results of numerical analyses of the extrusion process, using a simulation method based on the Smoothed Particle Hydrodynamics (SPH) approach. The results from simulations were verified by the experimental data in terms of the maximum force required to complete the process, in order to assess the applicability of the proposed method in further research on dry ice compression.

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“…The article presents the application of swarming algorithms in heat conduction simulations. The finite elements method (FEM) is the most applied method used for numerical calculation of many phenomena in computer simulations, for example, in thermomechanics, and many others [12,13]. Therefore the authors use FEM in the numerical part of their research.…”

Section: Introductionmentioning

confidence: 99%

Impact of input parameters on numerical calculations optimized by swarming algorithms during computer simulations of the heat conduction phenomenon

Zych¹,

Gawrońska²,

Dyja³

et al. 2022

J. Appl. Math. Comput. Mech.

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The article presents the application of swarming algorithms in heat conduction, taking into account the continuity of the boundary condition (type IV). The influence of the input parameters of the bee and ant algorithm and tessellation on the selection of the heat conduction coefficient between the casting mold and the casting in computer simulations was presented. The results were compared for two different finite element grids, a different number of individuals, and a different number of iterations. The study also considered the magnitude of the reference temperature disturbance as the input temperature for numerical calculations. The analysis showed that the relative error of reproducing the value of the thermal conductivity coefficient in the continuity condition did not exceed 1.5% of the reference value of this coefficient.

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Numerical Simulation of Dry Ice Compaction Process: Comparison of Drucker-Prager/Cap and Cam Clay Models with Experimental Results

Cited by 15 publications

References 27 publications

Evaluation of Density Fields of Numerical Analysis Output of Solid Carbon Dioxide Extrusion Process

Evaluation of Density Fields of Numerical Analysis Output of Solid Carbon Dioxide Extrusion Process

Modelling of the Process of Extrusion of Dry Ice through a Single-Hole Die Using the Smoothed Particle Hydrodynamics (SPH) Method

Impact of input parameters on numerical calculations optimized by swarming algorithms during computer simulations of the heat conduction phenomenon

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