DEM-MBD Coupled Simulation of a Burrowing Robot in Dry Sand
DEM-MBD Coupled Simulation of a Burrowing Robot in Dry Sand
复制标题
干沙中挖掘机器人的 DEM-MBD 耦合仿真
DOI:
10.1061/9780784484692.032
复制
发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Tao, Junliang
中科院分区:
文献类型:
--
作者:
Shahhosseini, Sarina;Parekh, Mohan;Tao, Junliang
This study demonstrates the application of a coupled discrete element method (DEM)–multi-body dynamics (MBD) framework in simulating the self-burrowing behavior of a robot in dry sand. In robotics, a robot can be modeled using MBD, in which each component of the robot is modeled as interconnected rigid or flexible bodies whose motions obey the laws of motion and are limited by kinematic constraints. In this study, DEM is coupled to MBD using Chrono—an open-source physics engine—to model the self-burrowing behavior of a two-auger robot in dry sand. The robot consists of a pair of horizontally aligned, auger-shaped bodies, which are connected with two rotational motors in MBD; and the sand is simulated as packing of monodispersed, frictional spheres in DEM. A typical co-simulation loop starts with the DEM module that solves the inter-particle and particle-structure forces and displacements; the particle-structure forces are then transferred to the MBD module to solve the dynamics of the robot; with the updated robot position and velocity, information is then transferred back to the DEM module. The rotation of the augers was set to different directions and speeds. It was found that the rotation of the two augers in the same direction enables horizontal translational movement of the robot, while rotation in the opposite directions hinders such movement: higher rotational speeds lead to higher translational velocities.
登录
查看更多内容
影响因子:
3.5
作者:
Luning Fang;Ruochun Zhang;Colin Vanden Heuvel;R. Serban;D. Negrut
通讯作者:
Luning Fang;Ruochun Zhang;Colin Vanden Heuvel;R. Serban;D. Negrut
影响因子:
3.6
作者:
Chen, Yuyan;Martinez, Alejandro;DeJong, Jason
通讯作者:
DeJong, Jason
影响因子:
3.2
作者:
E. Campello
通讯作者:
E. Campello
DOI:
10.1061/9780784484036.023
发表时间:
2022
期刊:
GeoCongress 2022
影响因子:
--
作者:
Huang, Sichuan;Tao, Junliang
通讯作者:
Tao, Junliang
影响因子:
2.4
作者:
Yifei Ma;T. Matthew Evans;Douglas D. Cortes
通讯作者:
Douglas D. Cortes