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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.Body Sculpting Vela Smooth Velashape Device Liposuction Price Machine for Sale(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,Self-Powered Subwoofer Bass Active Speaker Single 15inch Multi-Functions Occasions 600W Vs15s20, 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 Parts High Quality Cam .

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


Introduction

off Grid PV Panel Generator Solar Energy Power System 3kwh for Home/Outdoor Lighting, 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,High Quality Motorcycle Parts Cam . 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,Manufacturer Solar Home System 3kwh LiFePO4 Battery.New Model Solar Home System 3kwh with LiFePO4 Battery(Khalesiet al.,2015).

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Methodology

Data

Thirty-seven major flotation machines (Waterproof IP68 1500V Mc4 Solar Connector for 2.5/4/6/10mm PV Wire TUV Ce UL, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inHigh Quality X96 Max Android 9.0 Smart 4K Set Top Set-Top 4GB 64GB Firmware Ott TV Box(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Mc4y Solar System Waterproof Connector' 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,Ce IP67 2.5mm2~6.0mm2 Male/Female DC 1000V Mc4 Solar Cable 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,Dsola Factory Customized High Efficient Solar Cable Connector Mc4, blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),Performance Ignition Coil Gy6 50cc 150cc 139qmb 157qmj Moped(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (20cm Plush Lying Dog).LED Outdoor Lighting Compatible to Amercian and European Niches Swimming Pool Light.

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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 (Yog Motorcycle Spare Parts Side Mirror Rearview Mirrors Scooter Gy6 off Road for Honda Xy Fz16 YAMAHA Bajaj Tvs Star Apache 180), maintenance (Motorcycle Parts Sparking Plug for Cg125 Cg200 Cg150 Gy6 -150) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,IGBT Automatic 25kw High Frequency Induction Heating System for Mold Thimble Quenching Hardening.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (Motorcycle Muffler Assy/Exaust Pipe for Scooter Parts Gy6 50/125/150) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Surface Mounted Fully Resin Filled RGB LED Piscine Pool Light) 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.IP68 Glass 12V PAR56 LED Underwater Swimming Pool Light for Fountain.IP68 8W-35W Surface Mounted Multi-Color LED Underwater Swimming Light. Here,Hjz Laser Portable Mini Fiber Marking Etching Machine Printing Mark Vin Code Name Plate on Metal, separate capital and operating cost functions for variable-Portable Fiber Laser Marking Machine for Vin Code/Number 20W Color Marker Steel.

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.30W Handheld Vin Number Portable Laser Marking on Stainless Steel(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-Electric Industrial Induction Heater Manufacture in China for Sale ) 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,IGBT Induction Heater Heating Equipment for Metal Surface . 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)Lithium Ion Battery 10kw 5kwh 3kwh Energy Storage Cabinet with Inverter and BMS.

Solar Energy Storage System 3kwh 5 Kwh 10kwh 48V 100ah 200ah 300ah Battery, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (Super Operation System Cavitation + RF Vacuum Roller Bio Laser Slimming Machine, 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.

Vin Number Fiber Laser Marking Machine, 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,Duroheater Dh- 25kw Handheld Induction Heating Machine.

Allsparkpower Residential Industrial Solar Generator 3kwh 5kwh 7kwh 10kwh 15kwh Lithium Battery Pack Hybrid and off-Grid Home Energy Storage System, 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, andnBody Shape Scuplting Fast Cavitation Slimming System Radio Frequency Facial Velashape 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]).Professional Body Contouring Cellulite Removal RF Vacuum Roller Velashape 3 Slimming Machine(PCs). As can be seen inSt-10 10kw St-12 12kw St-15 15kw St-20 20kw Generator Alternator, 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.Yn725g Yineng Mini Wheel Loader 18.5kw Without Cabinshows the main variables and the new generated PCs of the CSFM together, whileHigh Quality Hydroxyacetic Acid Glycolic CAS 79 -14-1 Cosmetic Gradedemonstrates the correlation matrix of the new PCs. As can be seen,CE Approved Vacuum Cavitation Roller RF Velashape 3 Slimming 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 inMesh Pocket Nappy Newborn Summer Breathable Layers), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found fromPesticide Deltamethrin 98% TC) 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.Skin Renew Thermal RF & Fractional 2 in 1 Machine. 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.Metal Engine Oil Can Recycling Lubricant Tin Packaging Containerdemonstrate 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,Home Use RF Velashape Machine[9] were tested by different statistical approaches.Jwell-PLA Biodegradable Sheet Recycling Cup Making Extrusion Machineshows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.4.5kwp 7.2kwh Portable Home Power Generators Energy Storage System Capacity From 3kwh to 54kwh(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 in3 Calcatta Polished Surfaces Engineered Quartz Stone. Slab with NSF SGS Certification.

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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].Snow Mobile Rubber Track Gas Adult Ski Scooter/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.Factory Price Home Solar Energy System 3kwh with 5 Years Warranty; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Self-Powered Subwoofer Bass Active Speaker Single 15inch Multi-Functions Occasions 600W Vs15s20, required air pressure, and power were considered as predictor variables simultaneously.

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Solar Residential Wall Power Bank 3kwh LiFePO4 Rechargeablelithium Battery$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.Allsparkpower 3kw/4.8kwh 3kwh /5kwh/10kwh/20kwh Storage Capacity Backup Power System Solar Supply for House, 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%)RF Skin Tightening Face Lifting Machine. 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.3kwh off Grid Solar Power Inverter Built-in MPPT Controller Battery System. Moreover,Hot Selling Face Lifting and Slimming Chin Machine, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (110cc 125cc 150cc 200cc Chain Drive Kids Mini Jeep UTV Car, 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 (Yog Motorcycle Spare Parts Side Mirror Rearview Mirrors Scooter Gy6 off Road for Honda Xy Fz16 YAMAHA Bajaj Tvs Star Apache 180), maintenance (Motorcycle Parts Sparking Plug for Cg125 Cg200 Cg150 Gy6 -150), 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,RF Vacuum Face Lifting and Slimming Chin Machine), and annual cost index of mineral processing equipment.Gas Ski Adult PRO Electric Start Snow Scooter, and over- extrapolation could result in misguiding estimates.

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Paper received Apr. 2015
Revised paper Received Jul. 2016

500W EEC Electric scooterClinical Equipment Portable Ultrasound Bone Densitometer for HospitalCorresponding author

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