Project Details
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Pore network modeling of freeze drying on the basis of lyomicroscopic and tomographic measurements

Subject Area Mechanical Process Engineering
Chemical and Thermal Process Engineering
Term from 2018 to 2023
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 413284489
 
Final Report Year 2023

Final Report Abstract

Freeze-drying is a process commonly required to produce and stabilize high-quality products, but it is also slow, expensive and energy-intensive because it takes place at temperatures and pressures below the triple point of water. Attempts to increase efficiency quickly bring the process into ranges where product damage can occur. This is characterized by local softening of the frozen solid and is also referred to as structural collapse. The collapse is caused by local effects that take place on microscopic structures of the material. They are experimentally accessible only with great effort and cannot be described with the mathematical models established for freeze-drying. Moreover, they cannot be predicted so far. The project therefore aimed to develop, for the first time, a mathematical model for freeze-drying that can capture the phenomena on the scale of single pores, i.e. on the micrometer scale. This goal was realized using a so-called pore network model (PNM). PNMs are discrete mathematical models with which mass and heat exchange between individual pores can be calculated and represented. In the project, the pore network structure was accurately reconstructed based on data from 3-dimensional imaging. Experimental data, for example on the temperature or pressure profile during the process, were also necessary to complete the model. To record these and other necessary process parameters, a freeze-drying cell and imaging techniques were developed in order to visualize the sublimation of water 3-dimensionally in addition to the thermodynamic quantities mentioned above. The pore structure was resolved at the same time. With the experimental setup, the progress of drying can now be quantified much more precisely, which is essential for comparison with the model data and further development of the model. The new method of imaging and computer simulation can serve as a basis for future model adaptations, with which the local events that lead to damage of the pore structure at demanding process conditions, i.e. close to the collapse, can be quantified.

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