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Modelling software for AFC

A COMPLETE model of a longwall Armoured-Face Conveyor, developed by the Centre for Mining Technol...

Staff Reporter

The AFC simulation software (AFCSS) models the entire AFC system, including the drives, coupling, gearbox, sprocket and chain. It is being developed as one component of the Landmark Longwall Automation project being jointly run by CMTE and CSIRO. (See related articles, links below).

Variables that can be calculated and charted by the model include: start-up speed and duration; the frequency and amplitude of fluctuating chain forces; peak chain tension after a jam; and tension variations along the chain length.

The ability to check these variable will be invaluable to run ‘what-if’ scenarios at the early stages of mine planning. A mine site will be better equipped to evaluate AFC tenders from OEMs. Operators will be able to analyse and troubleshoot operational problems such as excessive chain and sprocket wear, chain breakage and frequent electrical drive failures. Also possible will be comparing different fluid coupling designs as well as comparing between fluid and CST couplings in regard to the start-up speed and chain tensions.

The model comes with some default parameters regarding different panline friction components, but will need to be calibrated for different longwall faces. The calibration procedures are simple and require minimum downtime according to researchers.

The model has been verified by a single data set but further site tests are necessary said CMTE's Professor Hal Gurgenci, before the software is made commercially available. As part of this testing and verification process, Gurgenci said that his team would work with interested mine sites to freely apply the software to their existing or planned longwalls.

For further information regarding the AFCSS software, please contact: Hal Gurgenci, h.gurgenci@cmte.org.au

* The AFCSS was developed by David Wauge, a CMTE post-graduate student with the Division of Mechanical Engineering, The University of Queensland, under the supervision of Professor Hal Gurgenci.

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