Classifying dragline swing dependencies using coincident limit graphs.

Knights, P, Liang, X and Jessett, A (2013) Classifying dragline swing dependencies using coincident limit graphs.. Mining Technology, 122 1: 46-52. doi:10.1179/1743286312Y.0000000032

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Author Knights, P
Liang, X
Jessett, A
Title Classifying dragline swing dependencies using coincident limit graphs.
Journal name Mining Technology   Check publisher's open access policy
ISSN 1474-9009
1743-2863
Publication date 2013
Year available 2013
Sub-type Article (original research)
DOI 10.1179/1743286312Y.0000000032
Volume 122
Issue 1
Start page 46
End page 52
Total pages 7
Place of publication Leeds, United Kingdom
Publisher Maney Publishing
Collection year 2014
Language eng
Abstract Dragline productivity is strongly influenced by swing cycle times, comprising between 60–70% of all dragline operational time. The ability to classify and report on dragline swing cycles according to their limiting motion is essential for identifying performance losses and deriving continuous improvements. This paper presents an algorithm for the automatic classification of dragline cycle dependencies. The algorithm adopts a simple graphical approach, based on coincident limits defined by the locus of points where the swing and hoist motors work at full capacity for equivalent time periods. The algorithm is capable of distinguishing three cycle dependencies; swing, hoist, and drag limited cycles. The coincident limit algorithm was applied on a dragline at a coal mine in Queensland’s Bowen Basin. A data set of 200 000 cycles consisted of: 70% swing limited cycles; 27% hoist limited cycles and 3% drag limited cycles. The coincident limit algorithm permits an equivalent swing angle to be calculated for draglines in hoist limited situations. This facilitates the possibility of measuring dragline work as BCMs multiplied by the equivalent swing angle. This measure could potentially be applied to benchmark the performance of draglines in different operational contexts in which varied pit and block geometries influence the proportion of hoist limited cycles.
Keyword Dragline
Cycle
Operating context
Productivity
Benchmarking
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
Official 2014 Collection
 
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Created: Mon, 15 Apr 2013, 15:27:04 EST by Karen Foster on behalf of School of Mechanical and Mining Engineering