Intelligent Cable Shovel Excavation Modeling and Simulation
Abstract
Cable shovel excavators are used for primary production of geomaterials in many surface mining operations. A major problem in excavation is the variability of material diggability, resulting in varying mechanical energy input and stress loading of shovel dipper-and-tooth assembly across the working bench. This variability impacts the shovel dipper and tooth assembly in hard formations. In addition, the geometrical constraints within the working environment impose production limitations resulting in low production efficiency and high operating costs. An intelligent shovel excavation (ISE) technology has been proposed as a potential solution to these problems. 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 for optimum 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.
Recommended Citation
S. Frimpong and Y. Hu, "Intelligent Cable Shovel Excavation Modeling and Simulation," International Journal of Geomechanics, American Society of Civil Engineers (ASCE), Jan 2008.
The definitive version is available at https://doi.org/10.1061/(ASCE)1532-3641(2008)8:1(2)
Department(s)
Mining Engineering
Keywords and Phrases
Artificial Intelligence; Excavation; Mining; Simulation
International Standard Serial Number (ISSN)
1532-3641
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2008 American Society of Civil Engineers (ASCE), All rights reserved.
Publication Date
01 Jan 2008
