ZOU Yang, TANG Tong, GAO Zicheng, QIAO Zhidong, HU Yibo

(College of Mechanical and Electrical Engineering, Central South University of Forestry and Technology, Changsha 410004, China)

Abstract：In order to obtain the contact parameters of the discrete element simulation of the quicklime powder, the parameters of the quicklime powder were calibrated by combining the physical test and the simulation test.The irregularly shaped quicklime particles were simplified into soft spherical particles, and the average particle size was enlarged to 2 mm by particle scaling theory, which was convenient for virtual calibration of contact parameters by using discrete element simulation software EDEM.Three significant parameters were obtained by Plackett-Burman test, steepest climb test and Box-Behnken test, namely, rolling friction coefficient of lime and lime, recovery coefficient of lime and steel, and JKR(Johnson Kendall Roberts)surface energy.A mathematical regression model of significance parameter and angle of repose was established, and then the relative error between prediction angle of repose and actual angle of repose was taken as the goal to optimize the mathematical regression model.The results show that the physical properties test is a basic physical parameter quick lime powder and the bulk density of 1.127 g/cm³, the average particle size of 0.126 mm, angle of repose is 48.76°.The optimal parameter combination is obtained by regression model, the rolling friction coefficient of lime and lime is 0.165, the recovery coefficient of lime and steel is 0.215, and the surface energy of JKR is 0.113 J/m².The angle of rest obtained by the optimal parameter combination simulation is 48.39°, and the relative error between the angle of rest and the actual angle of rest is 0.76%.The simulation test results are highly consistent with the physical test results.

Keywords：quicklime powder; bulk density; angle of repose; particle scaling; calibration of parameters

Received：2022-07-27，Revised：2022-09-30,Online：2023-01-11 11:28。

Funding Project：湖南省重点领域研发计划项目，编号：2019NK2022；湖南省重点研发计划项目，编号：2018NK2065。

First Author:邹洋(1998—)，男，硕士研究生，研究方向为现代林业设备。E-mail：1185628882@qq.com。

Corresponding Author:高自成(1968—)，男，教授，博士，硕士生导师，研究方向为现代林业设备。E-mail：gzc1968@126.com。