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1. How to view particle flow rate in EDEM?
Viewing particle flow rate in EDEM can be achieved through four methods: post-processing tracking, mass flow statistics, data export analysis, and simulation setting optimization. The specific operation and principle are as follows:
1. Post processing function tracks particle attributes. The EDEM post-processing module provides a "selection manual selection" function, allowing users to manually select specific particles for tracking.
. After selecting a particle, the system will output its motion trajectory, velocity vector, and other attributes, where velocity data can directly reflect the particle flow velocity. This method is suitable for local particle velocity analysis, such as studying the instantaneous velocity changes of a certain particle group in a screw conveyor. Attention should be paid during operation: the "Velocity" display option should be activated in the post-processing interface, and ensure that the particle motion data has been correctly recorded during the simulation phase. Secondly, in continuous flow scenarios such as spiral conveying, the "mass flow sensor" function on the "selection" panel can be used to indirectly calculate the mass flow of particles passing through the cross-section per unit time. By combining particle density and cross-sectional area, the average flow velocity can be indirectly calculated. For example, if the mass flow rate is Q (kg/s), the particle density is ρ (kg/m ³), and the cross-sectional area is A (m ²), then the flow velocity v=Q/(ρ· A). This method is suitable for overall flow velocity evaluation, but it is assumed that the particle distribution is uniform and the sensor position needs to be reasonably se
III. Data Export Processing Analysis EDEM supports exporting simulation data to Ensight format and visualizing flow velocity analysis through third-party software such as Paraview and Tecplot.
. When exporting, you need to select the "Ensight Gold" format in the "export data" interface and check the "Velocity" field. Third party software can generate flow velocity cloud maps and vector graphs, and support dynamic playback of particle motion processes. This method is suitable for tedious flow field analysis, but requires additional software installation and involves multiple processing steps. 4. Optimization of simulation settings to ensure data accuracy. The accuracy of flow rate data depends on the parameter settings during the simulation phase. Two key parameters need to be optimized: time step: It is recommended to use a Rayleigh Time Step of 10% to avoid particle collision detection failure caused by a large step size. Data storage interval: Short intervals (such as 0.00001s) can capture high-speed impact processes, but will increase the amount of data; Long intervals (such as 0.001s) are suitable for steady-state flow analysis. Reasonable settings can ensure that flow rate data is fully recorded during the simulation process, avoiding data loss due to improper parameters. In practical applications, it is recommended to choose a method based on the analysis objectives: local flow velocity analysis should prioritize post-processing tracking, overall flow velocity evaluation can be done using mass flow statistics, cumbersome flow field analysis recommends data export, and parameters need to be optimized during the simulation phase to ensure data quality.
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