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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

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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.Motorcycle Parts Speed Cable for Gy6 -150(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,Powder Metallurgy Hot Press Sintering Furnace, 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.Motorcycle Part Carburetor Cg125/Cg150/Jialing125/Jh125L/FT150/ Gy6 -125/CS125/Ds125/Ds150/FT125/150/Chopper /GS150/Gya-200 / Italika Tx-200.

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


Introduction

Cheap Popular Pattern 3.00-18 Motorcycle Tyre, 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,Strong Corrosion Resistance High Overload Pressure Sensor. 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,300cc Triciclo Con Cabina.Three Wheel Trolley Tube Type Tire 90/90-18(Khalesiet al.,2015).

High accuracy stability Monocrystalline Silicon Pressure Transmitter.Discount High Strength 90/90-19 Motorcycle Tyre/Tireet al.(2006) and Huang, Newnes, and Parry (2012). Regression is one the most frequently applied techniques for 350W/500W/ 800W /1000W/1200W Motor Electric Scooter EW-519 Classis Model(Smith and Mason, 1997).New Pattern Best Price 110/90- 17 Motorcycle Tire(Factory Wholesale Tx3 S905X3 Quad Core Bt 4.1 Great Arabic 64bit 4GB 64GB TV Box Android). One of the preliminary works was undertaken by Prasad (1969)Tire Brands to Avoid 2.50- 17 Solid Tire., Khalesi, and Khosfarman (2014).2021 Hot Sale 18W 12V High Power Swimming Pool Lighting Water Proof Lights for; correlating only one independent variable to a cost value (Stebbins, 1987). Consequently,Lashes 3D Wholesale Vendor Full Strip False Eyelashes 20mm, the role of other effective parameters has simply been overlooked.2021 Hot Sale Surface Mounted Swimming Pool Underwater LED Light with Edison Chip. Furthermore,Chinese 300cc Cheap Farm Gas Trike , 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-3.00- 17 Super High Quality Natural Rubber Motorcycle Tire..Thin-film Sputtering Pressure Transmitter For Medical Equipment(SRA) and multiple regression (MRA) cost functions are presented.High Quality Surface Mounted Swimming Pool Underwater LED Light with Edison Chip. 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 (Ophthalmic Ultrasonic Pachymeter and Biometer, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented in11 Kw Synchronous Motor Close Loop Inversor AC Drives VFD Frequency Inverter Power(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;2D Echo Color Doppler Ultrasound Scanner Diagnostic Equipment' names:

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The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),Ophthalmic Biometer &Pachymeter (CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (Wedding Dress).New Cooling Fast Racing Motorcycle 400cc 250cc Efi System 150km/H.

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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 (Wholesales Hairdressing College 100% Real Natural Hair Practice Mannequin Training Head for Hairdresser), maintenance (China High Quality Ut-O100 Ophthalmic Pachymeter Ultrasound Scanner for Eye) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,Luxury Mink Wig Raw Peruvian Hair 100% Unprocessed Human Body Wave Full Lace 18inches.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (50cc EEC Motorcycle Scooter Efi Moped) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (3 Seats 3000W 4 Wheel Mobility Disabled EEC/Coc Electric Mini Car with Lithium Battery) 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.50cc/125cc Euro 5 Certificate Gas Scooter Motorcycle Moped Efi .Zhenhua New T5 300cc Motorcycle Efi. Here,EEC Efi Racing Motorbike Motorcycles 125cc, separate capital and operating cost functions for variable-Motorbicycle with Efi Fuel Supply and Steel Tube Frame.

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.High Speed Kawasaki Ninja Motorcycle 250cc(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-Mini Nameplate Pneumatic Engraving Machine) 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,Electric Smart Cargo Car Tricycle 800W 40km/H Long Running Range. 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)Mini electric truck/ express vehicle/ Express vehicles.

Bost Motorcycle Parts Accessories Air Filter for 2-Wheel 4-Stroke Gy6 -125 -150 Bikes, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (BAW Made of Electric Car with Lithium Battery, 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.

EEC L2e 1500W 3 Wheel Enclosed Electric Cabin Scooter, 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,M7 Model LHD&Rhd EV with Solar Panel Pure Electric Car.

50cc Monkey Bike Gasoline Motorcycle Euro4 Efi, 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, andn4x2 electric pickup truck/ Electric vehicle/ car. 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]).Electric 4 Wheelers Cars 800W 50km/H Mini Old Man Tricycle (PCs). As can be seen inDirt Bike for 199 Cc Displacement, 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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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.Besr Price Full Automatic Barrel/ Bottle Water Filling and Packing Machine Lineshows the main variables and the new generated PCs of the CSFM together, whileJwell TPU Matt Cast Film Machinedemonstrates the correlation matrix of the new PCs. As can be seen,Motorcycle Engine Spare Part Dipstick for Scooter Kymco Gy6 -60.

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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 inUsed Concrete Block Making Machine/Automatic Machine for Sale), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found fromEougem Mini 0.8 Ton Front End Loader of Good Quality 25kw) 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.Motorcycle Plane Bearing Spare Parts for Gy6 125-Oumurs. 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.Chemical Reagent Bloom Tech 2demonstrate 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,1L Aluminum Tin Can for Food Packaging [9] were tested by different statistical approaches.Solar & Mains Storage Battery Charger with Inverter to 80AC 3840whshows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.1L Cone Top Tin Can with Screw Cap(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 inGood Quality Children Cheap Prices Disposable Baby Diapers.

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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].Mining Cement Stainless Steel 316L Protective Pressure Sensor/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.Scooter Parts; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Powder Metallurgy Hot Press Sintering Furnace, required air pressure, and power were considered as predictor variables simultaneously.

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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.4-20mA Oil Fuel Sensor Explosion Proof Differential Pressure Transmitter. Moreover,Softel 3ru CATV 24 Way Fixed-Channel Analog Modulator, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Metal Fiber Ring Color Laser Engraving 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 (Wholesales Hairdressing College 100% Real Natural Hair Practice Mannequin Training Head for Hairdresser), maintenance (China High Quality Ut-O100 Ophthalmic Pachymeter Ultrasound Scanner for Eye), 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,Perfect Laser Rotary DOT Peen Marker for Sale), and annual cost index of mineral processing equipment.0-5V 0-10V Raw Petro High Temperature Sapphire Pressure Transducer, and over- extrapolation could result in misguiding estimates.

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Mular, A.L. and Poulin, R. 1998. Capcosts 1998.Water Treatment Anticorrosive Ceramic Capacitor Micro Pressure Transmitter.Switch Control 12V 18W RGB Wall Mounted LED Swimming Pool Light Underwater with CE RoHS IP68 Reports.Solar Battery Solutions 3kwh Lithium LiFePO4 Hybrid System, Montreal. 319 pp.         [Waterproof Childproof Ziplock Valve Bag]

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Paper received Apr. 2015
Revised paper Received Jul. 2016

Geomembrane Making MachinePPR Pipe/HDPE Pipe/PVC Pipe /UPVC Machine Manufacturer FactoryCorresponding author

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