Data set generation at novel test-rig for validation of numerical models for modeling granular flows

Towards application of uncertainty quantification procedure combined with experimental procedure for assessment of the accuracy of the DEM approach dedicated for granular flow modeling

“…To provide transparency, the main tube was made from polycarbonate. A detailed description of the test rig can be found in earlier authors' work [28] while here only basic information is provided. To control the air flow, the test rig is equipped with three precise Bronkhorst HIGH-TECH B.V. [35] mass flow controller.…”

“…After set of calculations determined uncertainty is equal to 0.808 m/s. For the detailed methodology of the determination of the measurement uncertainty, the reader is referred to [28].…”

“…Therefore, for this purpose it is necessary to develop dedicated application for image data processing. Exemplary algorithm was already developed by research team and published [28]. However, additional work was done to develop another algorithm, for the sake of validation of both procedures, which are using different methods and programming environments.…”

“…The novel test rig design is based on the description of the numerical investigation presented in [27]. The test rig design and experimental data were discussed in earlier work [28]. The design of the test rig enables measurements on a micro-scale, providing information on the collisions between subsequent particles for the future development of mathematical models.…”

Development of a Novel Collision Approach for Particulate Flows

“…Within the second stage, the Hybrid Euler-Lagrange Surrogate Collision Model (HELSCM) results, were juxtaposed with numerical results obtained by application of standard HEL and DEM approaches, using the solid phase velocity profiles. The required data for experimental work was extracted using in-house tracking algorithm described in [41], while for numerical data processing the UDFs were used. Additionally, to check behavior of the HELSCM approach, the quantitative comparison was made, based on observation particles/parcels distribution during numerical simulations.…”