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Enhancing mine haul truck KPIs via payload balance
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- Author / Creator
- Chamanara, Ali
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This research is a field, laboratory and numerical experimental study of a mining haul truck payload balance and its effect on the truck productivity and performance.
One of the most widely used ultra-class haul trucks in the world is Caterpillar 797, which can carry more than 360 metric tonnes of material per cycle. The large payload of today’s haul trucks amplifies the importance of payload balance since a small difference between the designed centroid location of the payload and the actual centroid would subject the truck structure to excessive stresses that may breach the design limit of the truck reducing the truck availability affecting productivity, efficiency, life span and safety.
Key performance indicators (KPIs) have been defined to study the effect of varying truck payload balance. A field test was completed in an oil sand mine to study the adverse effects of an unbalanced payload on those KPIs. A laboratory scale truck body was built and the shovel loading sequence modeled to study the shovel load pass interaction with the truck body and also by the successive pass placed into the truck body.
An algorithm has been developed to model the cumulative shovel load passes within the truck body and to suggest an appropriate location for successive placed shovel load passes to achieve a balanced payload before the truck leaves the digging face. -
- Graduation date
- Fall 2013
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- Type of Item
- Thesis
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- Degree
- Doctor of Philosophy
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- License
- This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.