Is your substrate currently drying slowly and would you like to speed this up? A challenging task. We explain the drying mechanisms to you. In the case of large-volume ceramic components such as utility or sanitary ceramics, which are produced using slip casting or die casting, the first deviations from the target shape often occur during drying. We can explain the reasons for this. Due to the moisture, the material is initially very pliable and deformation can occur as a result of gravity. Due to the viscous properties of the paste, which depend on the moisture content, the time span of the application of force and the progress of drying play a major role here. The figure above left shows an example of such a simulation in which the moisture decreases over time and the component shrinks slightly. In addition, inhomogeneous drying shrinkage can lead to cracking. This cracking can also be mapped in the simulation. The models developed at Fraunhofer IWM have been used for these problem areas in several public and industry-funded projects with well-known ceramic manufacturers. The figure below left shows the drying processes for different ambient temperatures. The simulation made it possible to significantly reduce the effort required to determine the optimum mold.
The larger the component, the more problematic the debinding process. Due to the longer distances, the transport to the surface takes longer and a greater pressure builds up over a longer period of time. The figure on the left shows, for example, the concentration curve of the binder over the thickness of a hard metal part. In general, the larger the component, the more problematic the expulsion of the binder, but even with smaller parts, expulsion can be problematic if the binder completely - or almost completely - fills the pore space. It is always a question of how the temperature profile must be designed so that debinding can be carried out as quickly as possible but without damage.
The SprAID project is about developing an AI to predict process parameters during spray drying in order to achieve a desired particle size distribution without time-consuming trial and error. The aim is to quickly determine the correct parameters for spray drying. This is guaranteed by the AI developed in the project, which acts as an assistance system and will be available as a PC version. Are you looking for an easy introduction to spray drying or wondering whether a spray dryer can produce the desired properties? The system will provide specific recommendations for process and material parameters such as temperature, suspension flow or gas flow. In collaboration with the Plastics Center (SKZ) and the European Center for Dispersion Technologies (EZD), Fraunhofer IWM is taking a holistic approach. The EZD carries out experimental investigations on the spray dryer, while Fraunhofer IWM complements the data with numerical simulations. Experimental and numerical data are then used by SKZ to train the AI. SprAID stands for “Optimized spray drying processes using an artificial intelligence assistance system with a hybrid database”.