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Intelligent cable shovel excavation modeling and simulation

From National Research Council Canada

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DOIResolve DOI: https://doi.org/10.1061/(ASCE)1532-3641(2008)8:1(2)
AuthorSearch for: ; Search for: 1
Affiliation
  1. National Research Council of Canada. NRC Institute for Research in Construction
FormatText, Article
SubjectExcavation, mining, simulation, artificial intelligence
Abstract
This paper addresses the requirements of the dynamic models of the cable shovel underlying the ISE technology. The dynamic equations are developed using the Newton-Euler techniques. These models are validated with real-world data and simulated in a virtual prototype environment. The results provide the path trajectories, dynamic velocity and acceleration profiles, and dimensioned parameters foroptimum feed force, torques and momentum of shovel boom-dipper assembly for efficient excavation. The optimum digging forces and resistances for the cable shovel excavators are modeled and used to predict optimum excavation performance.
Publication date
In
  • International Journal of Geomechanics 8, no. 1 (1 January 2009): 2–10.
LanguageEnglish
Peer reviewedYes
NRC numberNRCC 51124
NRC-IRC-19999
NPARC number20377531
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Record identifiera023c5c6-944a-4907-b01b-e4cfe983624f
Record created2012-07-24
Record modified2020-04-16
Date modified: