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• W619372533 abstract "The objective of this study is to investigate the effects of alternative mining andnprocessing methods on final product recovery in coal processing.nCoal losses and dilution are two important mining problems facing the coal industry,nwhich has not been previously investigated in detail. Both of them affect the miningnrecovery and revenue significantly with different magnitude. To determine thenmagnitude of change in recovery, there is need for development of a single piece ofnsoftware capable of simulating the entire process from in situ coal to a product loadednon a train.n n Therefore, the aim of this thesis is: nb To gain an understanding into the operation of open cut coal mines, withnparticular attention to estimation of coal losses and dilution resulting fromndifferent mining conditions and using different mining equipmentn b Investigate the effect of mining and handling methods on coal degradation andnfine coal generationn b Investigate the effect of mining methods on ROM coal recovery, (and describe thenproperty of ROM coal based on their original in-situ characteristics)n b Combine the estimate of loss and dilution and the in-situ coal property to estimatenROM propertyn b Apply washing models on the resulting ROM to predict the resulting yield andnproduct coal properties nb Select the most appropriate existing models and link them into one piece ofnsoftware to provide the industry with a tool to estimate the recovery of coal fromnits in-situ conditionn b To track relative costs so that the benefit of alternative mining, handling ornwashing practices can be quantitatively assessedn b To assess the merits of alternative strategies and to maximise saleable product andnthe net revenue by designing the most effective mining, handling and washingnmethod.n n This project provided the industry with software as a tool for economic analysis ofncurrent mining and washing practices with ability to investigate effect of alternativenstrategies on the final saleable product. The program is written in Visual Basic, and itsnsimulation capabilities were validated on site and demonstrated through case study.nn n Definition of the problemn A previous ACARP project qThe Assessment and Control of Coal Damage and Lossqnproject (Scott and Wedmaier, 1995) demonstrated that very few Australian open cutnmines realistically schedule, monitor or report mining recovery. It also demonstratednthe feasibility of measuring and understanding the factors that affect mining recovery,nloss and dilution.n Problems identified include: nb The confusion of actual and apparent estimates of mining recovery (Scott andnWedmaier, 1995),n b The failure to relate preparation plant yield to the quality of the run-of-mine feedn(Scott and Wood, 1996),n b The common application of inappropriate moisture corrections for the estimationnof in-situ density from standard air-dried laboratory results (Preston and Sanders,n1992).n n The approachn Any strategy that increases the overall recovery of coal provides strong economicnleverage through increased sales revenue. Unless the consequences of improved pitnpractices on the overall recovery of saleable coal can be reliably quantified; anynresulting increase in cost cannot be justified. This results in a loss of opportunity tonsignificantly increase revenue for little additional expenditure.n n Research methodologyn b Literature survey on the aspects of mining, handling and washing andncritical review of work to daten b Selection of recovery and dilution modelsn b Selection of degradation and washing modelsn b Coal mine and preparation plant visits and data collectionn b Development of suitable computer frameworkn b Review and refine models nb Software development and evaluation.n" @default.
• W619372533 created "2016-06-24" @default.
• W619372533 creator A5005845949 @default.
• W619372533 date "2023-10-17" @default.
• W619372533 modified "2023-10-17" @default.
• W619372533 title "Interaction between mine and plant in coal processing" @default.
• W619372533 doi "https://doi.org/10.14264/107258" @default.
• W619372533 hasPublicationYear "2023" @default.
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