Dynamic modeling of cable shovel-formation interactions
for efficient oil sands excavation
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Cable shovel excavation in the Athabasca oil sands is vital given the in-situ excavation of formation. Random occurrence of boulders in the oil sands formation results in varying mechanical energy input and stress loading of the shovel handle-dippertooth assembly. These problems pose significant failure threat to the shovel handledipper- teeth assembly resulting in unplanned downtimes, inefficiency and high production costs. A potential solution is the deployment of an intelligent shovel navigation technology. Currently, there are no prediction models, based on sound theory, for shovel navigat...
Cable shovel excavation in the Athabasca oil sands is vital given the in-situ excavation of formation. Random occurrence of boulders in the oil sands formation results in varying mechanical energy input and stress loading of the shovel handle-dippertooth assembly. These problems pose significant failure threat to the shovel handledipper- teeth assembly resulting in unplanned downtimes, inefficiency and high production costs. A potential solution is the deployment of an intelligent shovel navigation technology. Currently, there are no prediction models, based on sound theory, for shovel navigation in this formation. This book covers a pioneering research effort toward developing dynamic models to accurately predict the formation resistances, optimal digging schemes and critical formation resistances on the dipper-teeth assembly.
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