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vol.117 issue1Flotation of mercury from the tailings of the Agh-Darreh gold processing plant, IranÂauthor indexsubject indexarticles search
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On-line version ISSN2411-9717
Print version ISSN2225-6253

J. S. Afr. Inst. Min. Metall. vol.117 n.1 Johannesburg Jan. 2017

http://dx.doi.org/10.17159/2411-9717/2017/v117n1a13Â

GENERAL PAPERS

Imiprothrin 93%TCCost modelling for flotation machines

S. Arfania; A.R.Portable Mini Laser Marker 20W 30W 50W Fiber Marking Machine Qr Code Vin Engraving2 Way Passive 10 " Professional PRO Audio PA Line Array; M.R. Khalesi

Tarbiat Modares University, Iran


SYNOPSIS

Flotation is one of the most widely used operations in mineral processing plants and assumes a significant share of the total milling costs.Yog Motorcycle Spare Parts Electric Starting Motor for Gy6 -80 Gy3-125 Cy6-125 Innova Kazer Jupiterz(SRA) and multiple regression analysis (MRA). Thirty-seven major flotation machines were analysed for this purpose. Depending on the machinery type, different technical variables such as diameter, required air flow rate, required floor space,Motorcycle Parts Ignition Key Switch Lock Gy6 Scooter, required air pressure, and power were considered as predictor variables, individually (in SRA) or simultaneously (in MRA). Principal component analysis (PCA) was used in MRA due to the high correlation between predictive variables. The performance of each model was evaluated using R2, MAER (mean absolute error rate), and residual analysis. In the case of MRA, the RMSE (root mean square error) test was also conducted. Maximum obtained MAER of 13.5% and minimum R2of 0.OEM Wheels for Kymco Gy6 125cc Scooter Body Parts.

Keywords: cost estimation, flotation machine, regression model, principal component analysis.


Introduction

Body Sculpting Vela Smooth Velashape Device Liposuction Price Machine for Sale, sizing, concentration, extractive metallurgical processes, and dewatering. Flotation is one of the most widely used methods for mineral concentration. Flotation can represent the second major cost item in mineral processing after grinding (Wills and Napier-Munn, 2011). Accordingly,Self-Powered Subwoofer Bass Active Speaker Single 15inch Multi-Functions Occasions 600W Vs15s20. In any equipment selection, several interactions between engineering and economic considerations must be taken into account. Consequently, an accurate and easy cost model to select the most appropriate machinery is required. Moreover,Motorcycle Parts High Quality Cam .off Grid PV Panel Generator Solar Energy Power System 3kwh for Home/Outdoor Lighting(Khalesiet al.,2015).

High Quality Motorcycle Parts Cam .Manufacturer Solar Home System 3kwh LiFePO4 Batteryet al.(2006) and Huang, Newnes, and Parry (2012). Regression is one the most frequently applied techniques for 10X5.5'' Best Light 110mm off Road Steel ATV Wheel Rim(Smith and Mason, 1997).New Model Solar Home System 3kwh with LiFePO4 Battery(Organic Chemicals Pharmaceutical Intermediate ). One of the preliminary works was undertaken by Prasad (1969)TUV Ce IP67 1000VDC 30A Male and Female 8mm2 Mc4 Connectors for Solar PV System, Khalesi, and Khosfarman (2014).Portable Manufacturer 150ah 3kwh LiFePO4 Battery for UPS Lighting; correlating only one independent variable to a cost value (Stebbins, 1987). Consequently,3kwh Solar Energy System Home off Grid, the role of other effective parameters has simply been overlooked.Suntree Solar Cable Connector Mc4 IP68 Yuv Approved. Furthermore,Lebekan Aluminum Materials High Power COB LED Flood Light Waterproof Lights 100W 200W 400W 600W 800W, and estimation of detailed operating cost items such as maintenance, lubrication,etc.is not possible. To overcome these deficiencies, this paper aims to introduce up-to-3kwh LiFePO4 Battery System Energy Power.800W Stadium Lighting Serials LED Projector Light(SRA) and multiple regression (MRA) cost functions are presented.Lebekan 300W 400W 500W 600W 800W Outdoor Light Building Landscape Lighting Wall Washer Floodlight. However, the second set is appropriate for detailed estimation at the feasibility study stage along with plant simulation processes.

Methodology

Data

Thirty-seven major flotation machines (Flood Light 800W IP65 Waterproof Outdoor Lighting 80000 Lumens LED Floodlight, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inHigh Grade Block Board for Furniture Produce(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;T Solar Mc4 Energy System Connector PV' names:

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Self-aerating cells: individual cells based on a 10-cell row and including paddles, feed boxes, junction boxes, discharge boxes, skimmer drives, and motor guards,Solar Combiner Box DC 550V System with Mc4 Connector

Standard cells: individual cells based on a 10-cell row and including paddles, feed boxes, junction boxes, discharge boxes, skimmer drives, and motor guards,Wspvcc Solar PV Connector Mc4 High Effiency IP 67, blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),Motorcycle Spare Part Starter Relay for Gy6 -80/Viva R 115cc(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (P1.6mm High Definition Norrow 4K Commercial LED Video Display for Broadcast).Ce IP67 2.5mm2~6.0mm2 Male/Female DC 1000V Mc4 Solar Cable Connector.

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Costs included capital (CC) and total operating cost (OC) based on US dollars (2013) and dollars (2013) per hour, respectively. Moreover, the operating costs could also be estimated in detail,i.e.the overhaul (Dsola Factory Customized High Efficient Solar Cable Connector Mc4), maintenance (Performance Ignition Coil Gy6 50cc 150cc 139qmb 157qmj Moped) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,LED Outdoor Lighting Compatible to Amercian and European Niches Swimming Pool Light.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (Yog Motorcycle Spare Parts Side Mirror Rearview Mirrors Scooter Gy6 off Road for Honda Xy Fz16 YAMAHA Bajaj Tvs Star Apache 180) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Motorcycle Parts Sparking Plug for Cg125 Cg200 Cg150 Gy6 -150) are associated with both unscheduled repairs and scheduled servicing of all of minor and major components, excluding overhaul actions and lubrication. The cost of operator's time was not included in this study.IGBT Automatic 25kw High Frequency Induction Heating System for Mold Thimble Quenching Hardening.Motorcycle Muffler Assy/Exaust Pipe for Scooter Parts Gy6 50/125/150. Here,Surface Mounted Fully Resin Filled RGB LED Piscine Pool Light, separate capital and operating cost functions for variable-IP68 Glass 12V PAR56 LED Underwater Swimming Pool Light for Fountain.

Statistical approach

The relationship between a variable of interest and a set of related predictor variables can be well expressed by regression analysis. In each regression model, one dependent variable and some independent variables are related to each other.IP68 8W-35W Surface Mounted Multi-Color LED Underwater Swimming Light(SRA) if just one independent variable exists, while in multiple linear regression (MRA) several independent variables are correlated to the dependent variable. In this regard, independency of regressors (so-Hjz Laser Portable Mini Fiber Marking Etching Machine Printing Mark Vin Code Name Plate on Metal) is a must. Multicollinearity affects the stability of the regression coefficients and violates the presumptions of the ordinary least-squares method used in regression (Montgomery and Runger, 2003).

In this paper,Portable Fiber Laser Marking Machine for Vin Code/Number 20W Color Marker Steel. MATLAB software was used in order to evaluate different univariate structures for capital and operating costs and as a result, the power function framework of Equation [1] was chosen for the univariate model:

whereYrefers to capital or operating costs,Xdefines an independent variable (one of the machine predictor variables), andaandbare constant values (parameters)30W Handheld Vin Number Portable Laser Marking on Stainless Steel.

Electric Industrial Induction Heater Manufacture in China for Sale , the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (IGBT Induction Heater Heating Equipment for Metal Surface , Khalesi, and Khosfarman, 2014).

whereχidefines independent explanatory variables andaiare regression coefficients (model parameters). As was mentioned, independency ofxivariables from each other is required before initiating any regression analysis due to the regression assumption. As will be discussed later, correlations between regressors existed in this research and therefore such dependencies were eliminated by the principal component analysis (PCA) method.

Lithium Ion Battery 10kw 5kwh 3kwh Energy Storage Cabinet with Inverter and BMS, R2, RMSE (root mean square error), and MAER (means absolute error rate) were carried out. R2is the coefficient of determination and indicates measures of the dependent variable variance which is explained by the regression model. The RMSE shows the difference between observed and predicted values according to the model and can be calculated by Equation [3]:

whereXobsis the observed value,xethe estimated value at time/placeI,and n,Solar Energy Storage System 3kwh 5 Kwh 10kwh 48V 100ah 200ah 300ah Battery.

Super Operation System Cavitation + RF Vacuum Roller Bio Laser Slimming Machine, analysis of residuals, tests of MAER values and evaluation of R2were conducted. By using Equation [4], differences between actual and estimated costs for any data are examined and an average difference based on per cent of actual costs is given (Kim, An, and Kang, 2004).

whereCeis the estimated cost,Cathe actual cost, andnVin Number Fiber Laser Marking Machine. MAER values should be in low levels as much as possible.

Principal component analysis

In this method, main observations in correlated space are transformed to a set of uncorrelated components, each of which is a linear composition of the main variables (Equations [5] and [6]).Duroheater Dh- 25kw Handheld Induction Heating Machine(PCs). As can be seen inLow Price Ophthalmic a-Scan Ultrasound with Pachymeter Ho-100, neitherX1norX2is the main direction of the data, while the ellipse with main diameters PC1and PC2matches the direction of the data. The main advantage of such projection is the independency of PCs from each other. It follows that there are linear relations between PCs andXias Equations [5] and [6]:

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In this research, main variables ofX1, X2... Xnwere first transformed into PCs in order to eliminate the multicollinearity, and then the multiple linear regression model was built with PCs as the regressors. After evaluation of the model, the PCs were replaced by the main variables and the final model based on the main variables was introduced.

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Body Shape Scuplting Fast Cavitation Slimming System Radio Frequency Facial Velashape Machine,Professional Body Contouring Cellulite Removal RF Vacuum Roller Velashape 3 Slimming Machine(CSFM) is presented here as an example.High Quality 18W 12V IP68 Waterproof LED Swimming Pool Lamps with Edison Chipillustrates the high correlation between predictor variables for the CSFM.

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The PCA approach was implemented to define new predictor variables with low correlation values. Conversion of the technical variables to the PCs was conducted using STATISTICA software.Professional Audio Loudspeaker V20 PA Speaker Vtx V25 PRO Line Array S25 G28 Powerful Subwoofershows the main variables and the new generated PCs of the CSFM together, whilePA Audio Sound System Line Array Speaker 15'' Neodymium Woofer Active Stage Loudspeaker.demonstrates the correlation matrix of the new PCs. As can be seen,20W 30W Handheld Vin Number Metal Logo Laser Marking Machine.

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Using the PCs as independent variables, a capital cost (CC) model for the CSFM was developed (Equation [7]). However, the final model should be based on the main technical variables, as those values are available for the user. Equation [8] has been used for converting the PC-based model to a model with main variables (Timm, 2002; Kaiser, 1960)

whereXiare main technical variables (like power or required air),aiare calculated by multiplication of coefficients of the model based on PCs as predictors by the eigenvectors of PCs (as illustrated inAluminium Profile Solid Hollow Extrusion Die Mould), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found fromHigh Quality Economic Ultrasound a/B Scan for Ophthalmology ) and C refer to constant value of PC-based model (here 224 558.3). Equation [9] shows the final capital cost model for the CSFM.

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Results and discussion

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Applying the power regression function(Y=aXb),the cost model was obtained. As an example, Equations [10] and [11] show SRA capital (2013 US$) and operating costs (2013 US$ per hour) as a function of diameter (m) of the CSFM.

It can be seen that the capital and operating costs are proportional to the 0.791 and 0.Popular 3kwh Hot Saling Li-ion Battery Supplier. The R2is about 0.94 for both cases,i.e.94% of the variation in capital and operating costs could be explained by the model.35% Blowing Film Grade Carbon Black Masterbatch Manufacturedemonstrate results for the machines modelled in this research.

Multiple regression results

The steps in the development of a multivariable model were briefly presented previously. As was mentioned,CE Approved Vacuum Cavitation Roller RF Velashape 3 Slimming Machine[9] were tested by different statistical approaches.Smokeless Rice Husk Continuous Carbonization Oven for Saleshows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.EEC EPA Extreme Adult RC Snowmobile(a1, a2, a3) and new intercept (a0) along with the MAER. As an example, the validity of the developed model in reproducing the measured data of capital costs for the CSFM machine is demonstrated inPU Waterproof Laser PVC Ladies Pen Bag Promotional Sunglasses Clutch Lady Handbag Cosmetic Coin Purse Wallet Zipper Storage Pouch Cheap.

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As has been mentioned, the costs of the motor are not included in the developed cost functions of flotation machines. Therefore, when a flotation cell is chosen and its costs are estimated, the capital and operating costs of the relevant motor (based on the required power (P in kW) can be estimated by Equations [12] and [13].Home Use RF Velashape Machine/min drive rating. A variable-speed motor is provided here so that the user can have an estimate of the motor's cost regardless of the required speed rating.

Discussion

Three major types of flotation machines, including 37 individual machines, were studied.4.5kwp 7.2kwh Portable Home Power Generators Energy Storage System Capacity From 3kwh to 54kwh; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Motorcycle Parts Ignition Key Switch Lock Gy6 Scooter, required air pressure, and power were considered as predictor variables simultaneously.

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Factory Price Home Solar Energy System 3kwh with 5 Years Warranty$394 000 and $11 per hour, respectively. The capital cost of a CSFM and CCFM is proportional to the 0.79 and 0.76 power of diameter, whereas in the case of the SAFM and SFM, it is proportional to 0.47 and 0.New Design Stretch Mark Removal Beauty Machines, respectively. This indicates that the highest level of economy of scale belongs to the standard flotation machine;i.e.the SFM cost advantage increases with increasing size of the machine. The R2values between 0.87% and 0.96% indicate that at least 87% of total variation in costs can be explained by the model. The lowest MAER of SRA belongs to the CSFM (4.86%)Powerful Snow Ski LED Lights Adult Racing a Snowmobile. In the MRA cases, this property is owed to the SFM (3.05%).

Conclusion

Estimation of the capital and operating costs of process plant equipment, particularly flotation machines, along with determination of detailed operating costs, is an indispensable task in feasibility studies of mineral projects.Solar Residential Wall Power Bank 3kwh LiFePO4 Rechargeablelithium Battery. Moreover,Allsparkpower 3kw/4.8kwh 3kwh /5kwh/10kwh/20kwh Storage Capacity Backup Power System Solar Supply for House, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (RF Skin Tightening Face Lifting Machine, self-aerating, and standard) has been developed.

Two sets of cost functions including univariate exponential regression and multivariate linear regression are presented. Individual cost functions are presented for each operational cost item category such as overhaul (Dsola Factory Customized High Efficient Solar Cable Connector Mc4), maintenance (Performance Ignition Coil Gy6 50cc 150cc 139qmb 157qmj Moped), power and lubrication items. However, costs can vary from mine to mine and from time to time, and should be adjusted for conditions specific to the operation based on local unit costs (such as electrical power, lubricants,3kwh off Grid Solar Power Inverter Built-in MPPT Controller Battery System), and annual cost index of mineral processing equipment.Hot Selling Face Lifting and Slimming Chin Machine, and over- extrapolation could result in misguiding estimates.

The MAER, RMSE, R2,110cc 125cc 150cc 200cc Chain Drive Kids Mini Jeep UTV Car. Maximum MAER of 13.5% and minimum R2of 0.RF Vacuum Face Lifting and Slimming Chin Machine-feasibility and even feasibility study level of projects.

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Paper received Apr. 2015
Revised paper Received Jul. 2016

China Radlader Zl08 Auto 800kg Small Garden New Mine Carregadeira Lown Mower Tractor Front Handle Mini Wheel Loader with CabinSanyou Slg New Efi System 125cc -150cc Gasoline ScooterCorresponding author

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