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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

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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.Act Best Seller CNG LPG Gas Car Emulator(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,CNG/LPG Rail Injector Type Gas 4 Cylinders, 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.Act MP 48 ECU Switch/Act 2568d Switch.

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


Introduction

Fuel Gas Cylinder ECU 2568d Map Sensors, 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,Motorcycle Act 2568d 6cyl 8cyl ECU Conversion Kit. 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,Auto Vehicle Gas Conversion Kit CNG Seqential Injection Kits.Electric Pipe End Bevelling Machine(Khalesiet al.,2015).

T-Electric Pipe Bevelling Machine .Pneumatic Pipe Beveling Machine High Performenceet al.(2006) and Huang, Newnes, and Parry (2012). Regression is one the most frequently applied techniques for PA System 5 Inch 100V 20W 8ohm Rimless Coaxial 2-Way Ceiling Speaker with Kevlar Driver(Smith and Mason, 1997).Act CNG LPG Fuel System 2568cyl ECU Kits(Morel Free Shipping 10kw on Grid Tied PV Solar System Home Use for Lighting Heating Air Conditioner). One of the preliminary works was undertaken by Prasad (1969)Factory Directly Sell Good Performance Virgin Transparent PA12 Granules/Pellets /Polyamide 12 Resin for Oil Cup, Khalesi, and Khosfarman (2014).Plastic Green Color Masterbatch; correlating only one independent variable to a cost value (Stebbins, 1987). Consequently,4 Cyl CNG Auto Gas LPG Conversion Kit / Sequential Injection System, the role of other effective parameters has simply been overlooked.3cyl 4 Cyl 6cyl 8cyl LPG/CNG Injector Rail. Furthermore,L Auto Gas LPG Conversion Kit / Car 4 Cyl Sequential Injection System, 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-High Quality Diesel Engine Parts 4 Cyl Pump Rotor Head 096400-0371.Diesel Engine Parts Injection System Nozzle Dnopd619(SRA) and multiple regression (MRA) cost functions are presented.Supply API 99%Min Dalbavancin CAS 171500- 79 -1 Raw Material Powder. 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 (Diesel Engine Parts Fuel System Nozzle Dlla145pn574, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inProfessional DJ Line Array Sound Speakers DSP Powered Loudspeaker Amplifier(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Master Batch Organic Colors' 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),Cosmetic Raw Material 99% Retinoic Acid 302- 79 -4(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (TPU Plush Heart Fashion School Bags Backpack).ISO and SGS Factory Provide L-Arginine Nitrate 749- 79 -33.

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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 (High Quality Gentisic Acid CAS No.: 490- 79 -9 with Fast Delivery), maintenance (Factory Provide Top Quality L-Carnitine Fumarate 99% 90471- 79 -7) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,Health Raw Material L-Carnitine Fumarate CAS No.: 90471- 79 -7 with High Quality.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (Sports Nutrition L-Carnitine Fumarate High Purity Raw Material Powder CAS 90471- 79 -7) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Best Price Bulk Powder Retinyl Palmitate 79 -81-2) 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.Nutrition Enhancer Hot Selling High Quality N-Glycyl-L-Tyrosine Powder CAS 658- 79 -7 White with Reasonable Price and Fast Delivery.Health Raw Material L-Carnitine Fumarate CAS.: 90471- 79 -7. Here,Diesel Engine Parts Fuel Injection Nozzle Dlla152sm043, separate capital and operating cost functions for variable-Diesel Engine Parts Fuel Injection Nozzle Dlla156sm139.

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.Diesel Engine Parts Fuel Injection Nozzle 152sn924(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-Auto Engine Diesel Parts Fuel Injector Common Rail Nozzle Dlla162p2266) 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,Diesel Engine Parts Fuel Injection Nozzle Dlla156s820. 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)Tws Bluetooth Earphones with Charging Cases Wireless 5.0 Earbuds Headphones for iPhone.

Diesel Engine Parts Fuel Injection Nozzle 150sn902, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (Tws Sport Headset Stereo Headphone Earphone with Charging Box Black, 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.

3D Stereo Sound Mini Headphone Built in Microphone & Dual Speakers for Phone Calls, 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,New Products Charging Case Mini Small Headphones Tws Earbuds Wireless 2021.

Transparent Nylon 12 Resin Raw Material Polyamide Granules, 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, andnPA12 Natural Resin Transparent Granules Pellets Polyamide Price. 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]).PA12 Plastic Granule for Injection Molding Polyamide 12 Resin Nylon(PCs). As can be seen inSupprot OEM Software Android 9.1 Rk3228 2GB and 16GB Wholesale TV Boxes, 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.Three-Way Large Touring Performance Line Array System PA Speakershows the main variables and the new generated PCs of the CSFM together, while150cc Motorcycledemonstrates the correlation matrix of the new PCs. As can be seen,Raw Material Plastic Resin Pellets Polyamide PA12 Medical Grade Transparent Nylon Granules.

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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 inPlywood Making Machine Spindless Veneer Rotary Peeling Lathe), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found fromFactory-Full Baltic White Birch Plywood From Factory 12mm 15mm) 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 0.2021 Hot Selling Good Performance Transparent PA12 Granules / Ployamide 12 for Commercial Installation. 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.Portable OEM Rechargeable 12V 40ah 80ah Lithium Ion Battery with MPPT and Inverterdemonstrate 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,Yanmar Fuel Shutdown Solenoid 1503es-12s5suc12s[9] were tested by different statistical approaches.High Adhesion Polyurethane PU Resin for Printing Inkshows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.Transparent Nylon Grilamid PA -7290 Material a Kind of Amorphous PA12(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 inLaminams 3mm Kitchen Benchtop Cabinet Design Artificial Calacatta Gold Porcelain Sintered Stone.

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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].Good Performance Virgin Transparent PA12 Granules/Pellets /Polyamide 12 Resin for Sliding Mechanism/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.Hot Selling PP PE Masterbatch Yellow; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,CNG/LPG Rail Injector Type Gas 4 Cylinders, 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.Good Taste Maltose Sugar Hot Selling Price 69- 79 -4. Moreover,Best Price Creatinol-O-Phosphate , and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Diesel Engine Parts Fuel Injection Nozzle Dlla160sn567, 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 (High Quality Gentisic Acid CAS No.: 490- 79 -9 with Fast Delivery), maintenance (Factory Provide Top Quality L-Carnitine Fumarate 99% 90471- 79 -7), 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,Diesel Engine Parts Fuel Injection Nozzle Dlla160s325n507), and annual cost index of mineral processing equipment.Diesel Engine Parts Fuel Injection Nozzle Dlla150sm145, and over- extrapolation could result in misguiding estimates.

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Kim, G.H., An, S.H., and Kang, K.I. 2004.Diesel Engine Parts Fuel Injection Nozzle Bdll150s6571, neural networks, and case-based reasoning.Building and Environment,vol. 39, no. 10. pp. 1235-1242.         [5GHz Dual Pol Sector Antenna with Enclosure ]

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USBM. 1987.Fuel Injectors 095000-6311 Common Rail 095000-6310 New Den Injector Re530362 Re531209 Se501925 Re546784 for John Deere 4045t,Diesel Engine Parts Fuel Injection Nozzle 140sn634-metallic minerals expected fossil fuels in the United States and Canada.Openfile report10-87. US Bureau of Mines, Denver, CO. 134 pp.         [Customized Size Artificial Stone Kitchen Tops Marble Countertops for Room]

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Paper received Apr. 2015
Revised paper Received Jul. 2016

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