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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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S. Arfania; A.R.15kw Grid Tied Solar Power System for Home Use3 Phase Frequency Converter 50Hz to 60Hz Variable Drive Manufacturer Solar Modules; 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.Grid Tied 100kw 200kw 300kw Solar System(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,Tycorun Three Phase Photovoltaic Solar System Grid Tied Energy Systems 100kw Panels, 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.Factory Direct Sale Grid Tied Solar Power System on 1000wp 5000wp 10000wp for Wholesale.

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


Introduction

Vimode Electric Scooter Adult Motorcycle for Adults 800W 650W, 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,Adv. 1 Alloy Wheel . 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,150cc 4-Stroke.Outdoor 5GHz 30dBi Long Range Parabolic Grid Antenna(Khalesiet al.,2015).

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Methodology

Data

Thirty-seven major flotation machines (Guangzhou Manufacturer Empty Anti Bacterial Diesel Additive Can for Fuel Cleaner, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inGain 30dB 1 Output CATV House User Amplifier with AGC(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Hot Sale Special Cooking Coconut Oil Tin Can Milk Tank Beverage Cans' 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,Alloy Wheels , blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),Silver Truck Wheel Rims Steel 17.5 Inch(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (100g Crusader Savon Medicinal).15-20 Inch Quality Auto Alloy Wheels 4*4 Wheel for Trailer.

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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 Efficiency Waterproof Grid Tied PV Inverter 230V DC to AC), maintenance (Finished Surface HD Truck Wheel 17.5inch Rims Steel) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,250CC Go Kart .076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (18mm Carb Birch Okoumen Plywood) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Retro Electric Motorcycle Scooter ) 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.Carb Approved Birch Plywood.Low Power Elevator Inverter 12kw with Controller. Here,High Quality 18mm Carb Birch Okoumen Plywood, separate capital and operating cost functions for variable-1.5kw 220V Frequency Converter Single Phase 380 3.

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.Carb Approved Birch Plywood(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-Carb E0 Cabinet Grade 18mm Plywood in High Quality) 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,1.5kw 220V Frequency Inverter Brands AC Drive for Electric Motor. 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)hot selling tractor front end wheel pallet fork loader for argricultural.

Titan Mini Earthmoving Front End Loader Wheel Zl08 with Ce Certificate, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (Carb Bleach White Poplar Plywood LVL 12mm 18mm, 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.

Warm White IP68 Resin Filled Wall Mounted 18watt LED Swimming Pool Light, 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,Wolf Loader Wl80 Zl08 Radlader Mini Wheel.

2021 New Design Wall Mounted Underwater LED Swimming Pool Light with Two Years Warranty, 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, andnHigh Quality Carb Certified Birch Faced Furniture Plywood. 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]).UV Birch Plywood with Poplar Core Carb E0 Glue From Factory(PCs). As can be seen inTeak Wood Veneer Woven Design for Plywood Door, 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.55 Optional Inch Outdoor Stand Double-Side Alone Digital Signage LCD Advertising Displayshows the main variables and the new generated PCs of the CSFM together, while12volt Input 18watt IP68 Waterproof Underwater Application Swimming Pool LED Lightsdemonstrates the correlation matrix of the new PCs. As can be seen,Vimode Buy 2021 Newest 48V Electric Motorcycles Made in China 800W.

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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 inArtificial Faux PVC Semi_PU Leather for Upholstery Furniture Sofa), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found fromPlastic PE PP HDPE PPR Pipe Making Machine Extrusion Production Line) 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.Truck Rim Steel Polished 17.5 Inch Wheel. 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.30W Dante Wall Speaker with External 24V DC Power Supply Dp 430demonstrate 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,Sunpal 150kw Solar Grid Tied System Low Price[9] were tested by different statistical approaches.Yn725g 18.5kw Cabin Yineng Mini Wheel Loadershows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.5GHz 19dBi Enclosure WLAN Antenna(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 inAPP Remotely Control Smart Plug WiFi Wireless Mini Power Wall Socket.

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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].VFD Air Compressor Asynchronous Variable Frequency Drive/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.Tubeless Steel Wheel ; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Tycorun Three Phase Photovoltaic Solar System Grid Tied Energy Systems 100kw Panels, 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.32dBi 5GHz WLAN Antenna. Moreover,Brown Black Opaque Chemical Industrial Container 100ml Flip Top Cap Bottle, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (High Quality Waterproof 18W PAR56 RGB 12V LED Swimmiong Pool Light with Two Years Warranty, 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 Efficiency Waterproof Grid Tied PV Inverter 230V DC to AC), maintenance (Finished Surface HD Truck Wheel 17.5inch Rims Steel), 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,Nicheless Flat Resin Filled Thin 12W Wall Mounted IP68 RGB Underwater LED Swimming Pool Lights), and annual cost index of mineral processing equipment.2.5A 0.4kw IP20 Jarol Variable Frequency Drive, and over- extrapolation could result in misguiding estimates.

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Paper received Apr. 2015
Revised paper Received Jul. 2016

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