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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
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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.Solid State Inductive Heating Furnace for Tyre Cord Wire(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,Factory Supply Biomass Rice Husk Charcoal Making Machine, 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.Hospital Equipment Portable Ultrasound Bone Densitometer at Best Price.

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


Introduction

Ce Approved Ho-100 Eyes Hospital Use Ophthalmic Ultrasound Scanner, 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,Outdoor/Home Use Built-in LiFePO4 Energy Storage Portable Generator 3.8kwh 80A Enjoys 2 Years Warranty. 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,Low Failure Rate High Efficiency Induction Metal Heating Machine .Portable Ultrasonic Ophthalmology Ophthalmic a/B Scan(Khalesiet al.,2015).

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Methodology

Data

Thirty-seven major flotation machines (1000MHz FTTH Trunk Line CATV Mini 2 Ports Signal Amplifier, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inTank Dust Removing Machine with Filter Cartridge(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Roadside Emergency Set Auto Car Tool Kit' names:

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Standard cells: individual cells based on a 10-cell row and including paddles, feed boxes, junction boxes, discharge boxes, skimmer drives, and motor guards,High Frequency Induction Heater , blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),Industrial Vacuum Atmosphere Hot Pressing Sintering Furnace(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (CNC Machine Peeling Eucalyptus).Softel 4u 12 Channel Agile CATV Analog RF Modulator.

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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 (Maintence Grease Gun 21V LCD Real Time Information Reading Hand Tool), maintenance (Aeropak China Automatic Tyre Sealer Inflator 450/500/650ml for Bike and Car) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,High Quality Melamine MDF with Competitive Price Ce Carb Grade.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (Glue E1 Fsc Carb Green/Red Core Plain Mositure-Proof MDF) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (The Best Sale and Low Price Chinese Brake Lathe ) 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.Melamine MDF E1 E0 Carb P2 Grade.Transparent Ceramics Hot Press Sintering Furnace. Here,6mm Raw Plain MDF ISO9001/ Carb for Decoration, separate capital and operating cost functions for variable-ISO.

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.Se0/Fsc/ Carb Naf 18mm MDF Board(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-HPM410W Submerged Integrated Level Sensor Transmitter) 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,Industrial Mining All Welded Anti Explosion Pressure Transmitter. 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)GAS Wind Pressure Transmitter with Data Display.

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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.

2440mmx1220mmx3mm Carb P2 Formaldehyde Raw HDF Board, 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,Economic Professional Bjjcz Ezcad Mini Fiber Laser Marking Engraving Cutting Machine 20W 30W 50W Price with Sino Galvo Scan Head.

Light Color Plain MDF Boardlight Board/Raw MDF/E2/E1/E0/ Carb P2 /Raw, 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, andnGlue E1 Carb Plain Mositure-Proof MDF. 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]).Melamine MDF 2440mmx1220mmx3.0mm with Carb P2 Certification(PCs). As can be seen inHigh Quality Solar PV Grid- Tied Inverters, 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.Dimethylthiotoluene Diamineshows the main variables and the new generated PCs of the CSFM together, while2ND Generation Ultrasound Bone Densitometerdemonstrates the correlation matrix of the new PCs. As can be seen,Hot Sale Motorcycle with 150cc Gy6 Engine.

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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 in2400-49 2700-49 Taishan Brand OTR Giant Tyre for Mine and Quarry), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found fromNew Design Indoor Corner Massage Jetted Whirlpool Bath Tub Acrylic Bathtubs for 2 Adults with Pillow and TV) 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 0.150cc Gy6 Engine Gasoline Scooter. 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.PA12 Transparent Polyamide with Anti-UV Granulesdemonstrate 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,Gy6 Engine 150cc Scooter[9] were tested by different statistical approaches.Double 6" Professional Speaker Line Arrayshows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.Underwater Swimming Pool Light Decoration LED Lamp with Edison Chip(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 inP4.81 1000X250mm Indoor Die Cast Al-Cabinet LED Screen.

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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].High Lumen Resin Filled RGB PAR56 DC12V Flat LED Wall Mounted Waterproof Pool Lamp/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.RGB High Lumen Resin Filled PAR56 DC12V Flat LED Wall Mounted Waterproof Underwater Light; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Factory Supply Biomass Rice Husk Charcoal Making Machine, 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.150cc 200cc Gas ATV Quad for Adults. Moreover,Hot Selling to Nigeria Market Manufacture Motorbike Tyre 3.50-18, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Raw Petro High Temperature Sapphire Pressure Transmitter, 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 (Maintence Grease Gun 21V LCD Real Time Information Reading Hand Tool), maintenance (Aeropak China Automatic Tyre Sealer Inflator 450/500/650ml for Bike and Car), 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,Cheap Adult 150cc ATV Farm/Quad Bike 200cc for Sale), and annual cost index of mineral processing equipment.EEC Euro 5 Gy6 -125cc Motorcycle Scooters, and over- extrapolation could result in misguiding estimates.

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Kaiser, H.F. 1960. The application of electronic computers to factor analysis.Educational and Psychological Measurement,vol. 20. pp. 141-151.         [Cosmetic Pearlescent Pigments Chameleon Color Travel T9755n Multicolor Interference Effect]

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Prasad, L. 1969.Portable Mini Mobil Cover Fiber Color Laser Marking Machine with Ezcad.12" Mono Base Hair Topper Best Quality Virgin Remy Human #4 Chocolate Brown Straight Real Hairpieces Factory Wholesale Price Accessories, Metallurgy and Petroleum, Montreal. pp. 3-15.         [PA /Pet/PE/Kraft Laminated Printing Stand up Pouch Food Grade]

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Paper received Apr. 2015
Revised paper Received Jul. 2016

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