In future exploration mission to low gravity bodies (e.g. a Mars moon or a near-Earth asteroid) it is planned to collect more than 100 grams of regolith (dust plus cm-sized pebbles) and return them to Earth for further ground-based analysis. In past Near-Earth Asteroid and Marco Polo and current Marco Polo-R studies several sampling tools have been proposed but there is no single technology for low-gravity sampling that has undergone a rigorous engineering assessment, aiming at proving the ability of the sampler to collect material in any envisaged situation. This is the purpose of this activity. The use of Discrete Element Method (DEM) to investigate mechanical properties of geomaterials is growing fast and their applications in geotechnics have become almost systematic. DEM granular approach suites the problem of studying the soil dynamics during the soil-tool interaction; moreover the investigation of the tool effectiveness in sampling under the influence of desired parameters (tool geometry, tool motion, soil properties) can be addressed. On the other hand, the DEM model of the soil needs a lot of effort to set up the particles interaction in order to faithfully represent the real work environment. The DEM is implemented to realize an affordable and reliable tool useful to investigate the sampling device dynamics in soil sampling activities to support the sampling tool concepts identification, trade off and selection. Comparing real experiment data to numerical models proves the quantitative capabilities of the DEM tool. The implemented tool addresses both the effectiveness evaluation of the sampling device concepts and the main solicitations estimation. This study addresses the following main steps: review of requirements and soil parameters identification, soil specimen modelling, sampling tool concept modelling, dynamic simulation of soil sampling, sensitivity analysis of dynamic simulation to soil parameters and environment variables.

DEM Simulation of Sampling Tool Mechanisms for Low Gravity Bodies

ARMELLIN, ROBERTO;DI LIZIA, PIERLUIGI;BERNELLI ZAZZERA, FRANCO;
2013-01-01

Abstract

In future exploration mission to low gravity bodies (e.g. a Mars moon or a near-Earth asteroid) it is planned to collect more than 100 grams of regolith (dust plus cm-sized pebbles) and return them to Earth for further ground-based analysis. In past Near-Earth Asteroid and Marco Polo and current Marco Polo-R studies several sampling tools have been proposed but there is no single technology for low-gravity sampling that has undergone a rigorous engineering assessment, aiming at proving the ability of the sampler to collect material in any envisaged situation. This is the purpose of this activity. The use of Discrete Element Method (DEM) to investigate mechanical properties of geomaterials is growing fast and their applications in geotechnics have become almost systematic. DEM granular approach suites the problem of studying the soil dynamics during the soil-tool interaction; moreover the investigation of the tool effectiveness in sampling under the influence of desired parameters (tool geometry, tool motion, soil properties) can be addressed. On the other hand, the DEM model of the soil needs a lot of effort to set up the particles interaction in order to faithfully represent the real work environment. The DEM is implemented to realize an affordable and reliable tool useful to investigate the sampling device dynamics in soil sampling activities to support the sampling tool concepts identification, trade off and selection. Comparing real experiment data to numerical models proves the quantitative capabilities of the DEM tool. The implemented tool addresses both the effectiveness evaluation of the sampling device concepts and the main solicitations estimation. This study addresses the following main steps: review of requirements and soil parameters identification, soil specimen modelling, sampling tool concept modelling, dynamic simulation of soil sampling, sensitivity analysis of dynamic simulation to soil parameters and environment variables.
2013
64th International Astronautical Congress (IAC 2013)
978-1-62993-909-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/767077
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