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Discrete element modelling for wheel-soil interaction and the analysis of the effect of gravity
Institution:1. Dept. of Mechanical Engineering and Centre for Intelligent Machines, McGill University, Montreal, Canada;2. CM Labs Simulations, Montreal, Canada;3. Concordia University, Montreal, Canada;1. University of Sopron, Hungary;2. Szent István University – Faculty of Mechanical Engineering, Hungary;3. CLAAS Hungaria Kft, Hungary;1. Advanced Science and Automation Corp. 9714 Oakhaven Ct., Indianapolis, IN 46256-8101, USA;2. US Army DEVCOM Ground Vehicle Systems Center (GVSC), 6501 E. 11 Mile Road, MS 157, Bldg. 215, FCDD-GVR-MSS, Warren, MI 48397-5000, USA;1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410072, China;2. College of Systems Engineering, National University of Defense Technology, Changsha 410072, China
Abstract:The discrete element method (DEM) is widely seen as one of the more accurate, albeit more computationally demanding approaches for terramechanics modelling. Part of its appeal is its explicit consideration of gravity in the formulation, making it easily applicable to the study of soil in reduced gravity environments. The parallel particles (P2) approach to terramechanics modelling is an alternate approach to traditional DEM that is computationally more efficient at the cost of some assumptions. Thus far, this method has mostly been applied to soil excavation maneuvers. The goal of this work is to implement and validate the P2 approach on a single wheel driving over soil in order to evaluate the applicability of the method to the study of wheel-soil interaction. In particular, the work studies how well the method captures the effect of gravity on wheel-soil behaviour. This was done by building a model and first tuning numerical simulation parameters to determine the critical simulation frequency required for stable simulation behaviour and then tuning the physical simulation parameters to obtain physically accurate results. The former were tuned via the convergence of particle settling energy plots for various frequencies. The latter were tuned via comparison to drawbar pull and wheel sinkage data collected from experiments carried out on a single wheel testbed with a martian soil simulant in a reduced gravity environment. Sensitivity of the simulation to model parameters was also analyzed. Simulations produced promising data when compared to experiments as far as predicting experimentally observable trends in drawbar pull and sinkage, but also showed limitations in predicting the exact numerical values of the measured forces.
Keywords:DEM  Position-based  Wheel  Soil  Gravity
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