Granular Scaling Laws for Accurate Prediction of Wheel Mobility on Slopes in Low-Gravity Environments

EasyChair Preprint 14770

Abstract

Analyzing the mobility of wheeled rovers on loose sand in low-gravity environments remains a significant challenge. Among several experimental techniques, such as parabolic flight and reduced-weight tests, granular scaling laws (GSL) have recently been proposed to predict wheel mobility under low-gravity conditions via earth-gravity tests. Although the GSL accurately predicts wheel mobility on flat terrain in low-gravity environments, its capability to predict wheel mobility on slopes in such environments still needs to be verified. This study developed a GSL and investigated its accuracy in predicting wheel mobility on slopes in low-gravity environments. The discrete element method (DEM) was utilized to test wheel mobility at various slope angles under Earth’s gravity. Subsequently, by applying a multiple scaling function, the GSL converted the results from the Earth-gravity tests to predict wheel mobility under lunar gravity. The GSL-based predictions were compared with DEM simulations conducted under lunar gravity conditions. The results indicated that the wheel mobility under lunar gravity predicted by the GSL closely corresponded to that calculated via the DEM. These findings indicate that the GSL can accurately predict wheeled-rover mobility on slopes in low-gravity environments.

Keyphrases: Granular scaling laws, Low gravity, Lunar regolith simulant, Wheel mobility prediction

@booklet{EasyChair:14770,
  author    = {Takuya Omura and Genya Ishigami},
  title     = {Granular Scaling Laws for Accurate Prediction of Wheel Mobility on Slopes in Low-Gravity Environments},
  howpublished = {EasyChair Preprint 14770},
  year      = {EasyChair, 2024}}