Experimental Validation & Data Analysis
Since the foundation of our department we have a strong dedication to validate all new numerical models with in house lab experiments.
As it is not easy to extract quantitative data from multiphase flow experiments, the validation of numerical models needs some creativity and quite often one has to leave the established methods and find some new approaches on qualitative or pseudo quantitative data processing methods. Thus, we developed a strong focus on image and signal processing of experimental data, and over the last years we also managed to transfer some of these methods to real plant data. Some examples can be found below and in our annual reports.