1. DEM PARAMETERS CALIBRATION OF MIXED BIOMASS SAWDUST MODEL WITH MULTI-RESPONSE INDICATORS.
- Author
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Gong Xun, Bai XueWei, Huang HaiBo, Zhang FengYu, Gong YuanJuan, and Wei DeSheng
- Subjects
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WOOD waste , *DISCRETE element method , *ROLLING friction , *BIOMASS , *SURFACE energy , *FACTORIAL experiment designs , *POISSON'S ratio - Abstract
The Plackett-Burman factorial experiment was carried out by Design-Expert for 10 related factors. The simulation calibration experiment with JKR contact model was performed based on discrete element method (DEM) with mixed biomass sawdust as the research object. Taken the Box-Behnken experiment together with the steepest climbing test scheme, the parameters of the multi-response indicators were calibrated as follows: the Poisson's ratio of mixed biomass sawdust is 0.30; the density is 399.22kg·m-3; the recovery coefficient between sawdust particles is 0.47; the rolling friction coefficient between sawdust particles is 0.39 and the parameter of surface energy density between sawdust particles (JKR) is 0.29J·m-2. The comparative verification experiments indicate that the relative error of the repose angle is 3.41% and the relative error of the stress-time response curve is less than 6.36%. These results verify the reliability of the calibration method and provide a theoretical reference for the study of the constitutive characteristics of biomass materials and the densification mechanism. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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