11.07.2014 Views

Annual Meeting Preliminary Program - Full Brochure (PDF) - SME

Annual Meeting Preliminary Program - Full Brochure (PDF) - SME

Annual Meeting Preliminary Program - Full Brochure (PDF) - SME

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

wednesday, february 27<br />

morning<br />

Coal & Energy: Coal Preparation<br />

Bulk Material Handling by Conveyor Belt 7:<br />

Solving Real Problems Using Numerical<br />

Analysis and Simulation<br />

9:00 AM • Wednesday, February 27<br />

Chair: T. Hollingsworth, Conveyor Engineering, Meridian, ID<br />

9:05 AM<br />

Simulation for Equipment Sizing – Longwall to Stockpile<br />

E. O’Donovan; E.J. O’Donovan & Associates, Spring Hill, QLD, Australia<br />

When longwall equipment is being specified, a nominal capacity is generally<br />

given on which to base the design of the various face and out-bye systems and<br />

components. This capacity generally comes from a nominal annual capacity<br />

requirement based on realistic utilization rates. From illustrative examples of<br />

simple system simulation, this paper sets out to show that a single nominal<br />

capacity is not sufficient to size the different systems. The manner in which<br />

the Longwall is operated and the overall system configuration can have a significant<br />

impact on overall productivity. The importance of component availability<br />

on overall output is also addressed.<br />

9:35 AM<br />

Simulation as a Tool to Determine Stockyard Handling Capacity<br />

E. Monrad and H. King; Simulation Modelling Group, Sandwell<br />

Engineering, Vancouver, BC, Canada<br />

Discrete event simulation modeling provides a tool to quantify the throughput<br />

capacity of stockyards. Interactions between the main equipment types<br />

(trains, dumpers, conveyors, stackers, reclaimers, shiploaders) can be captured,<br />

including route blockages, breakdowns, and planned maintenance.<br />

This tool has been successfully used at world-class stockyard facilities to determine<br />

current capacity and to identify gains resulting from improvement<br />

projects. Recent projects have focused on iron-ore, coal, and soya facilities,<br />

but the technology is suitable to be used on any bulk material type.<br />

10:05 AM<br />

Interfacing Belt Feeders and Hoppers to Achieve Reliable Operation<br />

J. Carson 1 , F. Cabrejos 3 and M. Rulff 2 ; 1 Jenike & Johanson, Inc., Tyngsboro,<br />

MA; 2 Jenike & Johanson, Ltd, Toronto, ON, Canada and 3 Jenike & Johanson<br />

Chile S.A., Vina del Mar, Chile<br />

Belt feeders are commonly used to meter the flow of bulk solids from bins<br />

and hoppers. If the interface between the hopper outlet and belt feeder is not<br />

designed correctly, flow from the bin may be severely compromised, resulting<br />

in problems of no-flow, segregation, flooding, etc. By knowing the flow<br />

characteristics of the bulk solid being handled and applying proven design<br />

techniques, such problems can be avoided. Relevant bulk solids flow characteristics<br />

will be identified, along with measurement techniques. Design procedures<br />

for correcting problems with existing feeders as well as proper design<br />

of new feeders will be presented, along with case histories of successful<br />

application of these procedures.<br />

10:35 AM<br />

Predicting Material Behavior on Conveyors using DEM<br />

B. Ren and G. Mustoe; Colorado School of Mines, Golden, CO<br />

Energy losses are important factors in a conveyor’s performance and design.<br />

A significant energy loss due to belt sag within a conveyor system occurs<br />

when shearing motion between the bulk material particles occurs as the material<br />

moves along the belt. This sag energy loss has been studied previously<br />

using analytical mechanical methods that employ several simplifying approximations<br />

such as: a) dry bulk material, b) assumed pressure distributions between<br />

the bulk material and belt, and c) inertial effects within the bulk material<br />

and belt, etc. The current work employs a discrete element modeling<br />

(DEM) approach eliminating the need for the simplifying assumptions required<br />

in previous analyses. The DEM method models: a) the bulk material as<br />

a discrete system of particles with a specified size distribution, and interaction<br />

laws for dry and wet materials, and b) the belt geometry shape with a detailed<br />

3D CAD description. In this paper the effects of: a) idler spacing, b)<br />

belt speed, b) belt sag, and c) different bulk materials are studied.<br />

9:00 AM • Wednesday, February 27<br />

Chairs: R. Honaker, University of Kentucky, Lexington, KY<br />

M. Mohanty, Southern Illinois University Carbondale,<br />

Carbondale, IL<br />

9:05 AM<br />

Capital and Operating Cost Models for Coal Preparation Plants<br />

Z. Huang 1 , M. Mohanty 2 , H. Sevim 3 , B. Arnold 4 and S. Bhagwat 5 ; 1 Mintec<br />

Inc., Tucson, AZ; 2 Department of Mining and Mineral Resources<br />

Engineering, Southern Illinois University Carbondale, Carbondale, IL;<br />

3<br />

School of Engineering, Southern Illinois University Edwardsville,<br />

Edwardsville, IL; 4 PrepTech, Inc., Apollo, PA and 5 Illinois State Geological<br />

Survey, Champaign, IL<br />

Circuit-wise capital and operating cost models are developed for those cleaning<br />

and dewatering circuits that are widely used in current coal preparation<br />

plants. For each circuit, capital and operating costs are calculated for at least<br />

five feed capacities. For each feed capacity, the sizes of the major and ancillary<br />

equipment in the circuit are determined. The purchasing cost and operating<br />

cost of each piece of equipment are calculated based on the cost data collected<br />

from a variety of sources. The circuit capital cost is calculated as the<br />

sum of the capital cost of each piece of equipment in the circuit. Similarly,<br />

circuit operating cost is the sum of the operating cost of individual equipment<br />

in the circuit. Capital and operating cost estimating equations are then obtained<br />

by best-fitting the cost data as a function of feed capacities. The capital<br />

cost also includes the installation cost. Capital and operating cost tables,<br />

equations and figures are given for each cleaning and dewatering circuit. The<br />

utilization of these equations is also introduced by applying them in a new<br />

developed coal preparation plant simulator for conducting cost and<br />

economic analysis.<br />

9:25 AM<br />

The Design, Construction, Commissioning and Operation of the Arch<br />

Castle Valley Plant in Wellington, Utah<br />

P. Bethell 1 and M. Kelley 2 ; 1 Arch Coal Inc., Charleston, WV and 2 Castle<br />

Valley Plant, AWBG, Wellington, UT<br />

This paper will describe the design philosophy behind the 400 t.p.h. “Coarse<br />

Only Washing” preparation plant. The study of the potential feed coals lead to<br />

the design incorporating the latest technology of fine dry coal screening<br />

(Roxon Roller Screen). The plant also incorporates a Peters Dense Media<br />

Vessel treating the plus 1 ⁄4” material. Once the circuit was designed, the plant<br />

was bid and CEnty of Salt Lake City, Utah was awarded the contract to build<br />

the facility. The new Roxon/Dense Media Vessel plant was retrofitted into an<br />

old McNally jig plant, which posed obvious demolition/construction issues.<br />

The plant was successfully commissioned in October 2006 and has subsequently<br />

run highly efficiently at in excess of 20% above design capacity.<br />

Plant efficiency data will be reviewed, as will availability and quality data.<br />

9:45 AM<br />

Development of a Transponder-Based Tracer System for Evaluating<br />

Dense Medium Separator Performance<br />

C. Barbee 1 , C. Wood 2 and G. Luttrell 3 ; 1 Arch Coal, Inc., Charleston, WV;<br />

2<br />

Partition Enterprises Pty Ltd., Indooroopilly, QLD, Australia and 3 Mining<br />

& Minerals Engineering, Virginia Tech, Blacksburg, VA<br />

Density tracers are a useful diagnostic tool for evaluating the separation efficiency<br />

of dense medium circuits. Unfortunately, the full capabilities of density<br />

tracers are often not realized in practice due to problems that occur during<br />

the retrieval step. To overcome this problem, an electronic monitoring<br />

system has been developed to automatically identify and count the tracers as<br />

they pass through a coal cleaning circuit. This technique, which relies on recent<br />

technological breakthroughs in transponder technology, improves the reliability<br />

of tracer data by eliminating statistical errors associated with lost<br />

tracers. Field tests showed that very accurate counts (>98%) of the transponder-based<br />

tracers could be achieved in full-scale trials. In addition, this simple<br />

system makes it possible for efficiency tests to be performed very rapidly<br />

by a single person in an extremely cost-efficient manner.<br />

50

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!