dataset for "GPU-enhanced DEM analysis of flow behaviour of irregularly shaped particles in a full-scale twin screw granulator"

This dataset contains the numerical simulation data describing the conveying behaviour of shaped-particle systems. Detailed study on the conveying behaviour is presented in a journal paper entitled "GPU-enhanced DEM analysis of flow behaviour of irregularly shaped particles in a full-scale twin screw granulator". We provide all the essential data in a single excel file with the description below: Dataset 1- Average particle speed (Fig. 7a) and XYZ components (Fig. 7b) for: Sphere at t = 2.1 s, Cube at t = 2.85 s, Biluna at t = 3.1 s, HexP at t = 3.45 s. (Data of Fig. 7) Dataset 2 - XYZ coordinates of a typical particle trapped in the granulator. (Data of Fig. 9) Dataset 3 - Particle retention numbers for different shaped particles. (Data of Fig. 10). Dataset 4 - Average particle speeds for different shaped particles. (Data of Fig. 11). Dataset 5 - Average axial particle speeds for different shaped particles (Data of Fig. 12). Dataset 6 - Residence time distributions for various shaped particles. (Data of Fig. 13) Dataset 7 - Normalised residence time distributions for various shaped particles. (Data of Fig. 14) Dataset 8 - Mean residence time for various shaped particles. (Data of Fig. 15) Dataset 9 - The variance of RTD for different shaped particles. (Data of Fig. 16) Dataset 10 - Cumulative exit age distribution for various shaped particles. (Data of Fig. 17) Dataset 11 - Normalised cumulative exit age distribution for various shaped particles. (Data of Fig. 18) Dataset 12 - Evolution of the cumulative power consumption for various shaped particles. (Data of Fig.19) Dataset 13 - Power consumption distribution for various shaped particles. (Data of Fig.20)