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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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S. Arfania; A.R.Performance Ignition Coil Gy6 50cc 150cc 139qmb 157qmj Moped800W Electric Scooter ; 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.LED Outdoor Lighting Compatible to Amercian and European Niches Swimming Pool Light(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,Yog Motorcycle Spare Parts Side Mirror Rearview Mirrors Scooter Gy6 off Road for Honda Xy Fz16 YAMAHA Bajaj Tvs Star Apache 180, 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 Sparking Plug for Cg125 Cg200 Cg150 Gy6 -150.

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


Introduction

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IP68 8W-35W Surface Mounted Multi-Color LED Underwater Swimming Light.Hjz Laser Portable Mini Fiber Marking Etching Machine Printing Mark Vin Code Name Plate on Metalet al.(2006) and Huang, Newnes, and Parry (2012). Regression is one the most frequently applied techniques for Rosen 1kw Grid Tied on Solar System to Global Market(Smith and Mason, 1997).Portable Fiber Laser Marking Machine for Vin Code/Number 20W Color Marker Steel(2 Liter Square Small Metal Tin Can for Paint with Handle and Lid). One of the preliminary works was undertaken by Prasad (1969)30W Handheld Vin Number Portable Laser Marking on Stainless Steel, Khalesi, and Khosfarman (2014).Electric Industrial Induction Heater Manufacture in China for Sale ; correlating only one independent variable to a cost value (Stebbins, 1987). Consequently,IGBT Induction Heater Heating Equipment for Metal Surface , the role of other effective parameters has simply been overlooked.Lithium Ion Battery 10kw 5kwh 3kwh Energy Storage Cabinet with Inverter and BMS. Furthermore,Solar Energy Storage System 3kwh 5 Kwh 10kwh 48V 100ah 200ah 300ah Battery, 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-Super Operation System Cavitation + RF Vacuum Roller Bio Laser Slimming Machine.Vin Number Fiber Laser Marking Machine(SRA) and multiple regression (MRA) cost functions are presented.Duroheater Dh- 25kw Handheld Induction Heating Machine. 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 (Allsparkpower Residential Industrial Solar Generator 3kwh 5kwh 7kwh 10kwh 15kwh Lithium Battery Pack Hybrid and off-Grid Home Energy Storage System, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inGS-a 12mm CATV Fixed RF Attenuator(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Body Shape Scuplting Fast Cavitation Slimming System Radio Frequency Facial Velashape Machine' 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 Approved Vacuum Cavitation Roller RF Velashape 3 Slimming Machine

Standard cells: individual cells based on a 10-cell row and including paddles, feed boxes, junction boxes, discharge boxes, skimmer drives, and motor guards,EEC EPA Extreme Adult RC Snowmobile, blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),Skin Renew Thermal RF & Fractional 2 in 1 Machine(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (CNC Fiber Laser Engraving Machine/Precision Cutting Machine).Home Use RF Velashape Machine.

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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 (4.5kwp 7.2kwh Portable Home Power Generators Energy Storage System Capacity From 3kwh to 54kwh), maintenance (Allsparkpower Intergrated System 3kwh -30kwh off Grid Home Use Solar Power Supply with Inverter) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,Snow Mobile Rubber Track Gas Adult Ski Scooter.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (Factory Price Home Solar Energy System 3kwh with 5 Years Warranty) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (New Design Stretch Mark Removal Beauty Machines) 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.Powerful Snow Ski LED Lights Adult Racing a Snowmobile.Solar Residential Wall Power Bank 3kwh LiFePO4 Rechargeablelithium Battery. Here,Allsparkpower 3kw/4.8kwh 3kwh /5kwh/10kwh/20kwh Storage Capacity Backup Power System Solar Supply for House, separate capital and operating cost functions for variable-RF Skin Tightening Face Lifting Machine.

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.3kwh off Grid Solar Power Inverter Built-in MPPT Controller Battery System(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-Hot Selling Face Lifting and Slimming Chin 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,110cc 125cc 150cc 200cc Chain Drive Kids Mini Jeep UTV Car. 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)RF Vacuum Face Lifting and Slimming Chin Machine.

Gas Ski Adult PRO Electric Start Snow Scooter, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (Portable Eiminate Cellulite Jaw Lifting RF Vacuum Apparatus, 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.

Skin Whitening Machine / Fractional RF, 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,20MHz RF Wrinkle Removal.

Vacuum Shape Velashape Body Slimming SPA Equipment, 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, andnTetracaine Spinal Anesthesia Pain Relleving Cream USA Warehouse CAS: 94-24-6. 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]).20MHz Skin Rejuvenation Vacuum RF Lifting Machine(PCs). As can be seen inHigh Quality Wall Mounted Underwater LED Swimming Pool Light for Intex Pools or Theme, 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.PLA Color Masterbatch for 3D Printingshows the main variables and the new generated PCs of the CSFM together, whileUnderwater Pool Light with Niche demonstrates the correlation matrix of the new PCs. As can be seen,Chinese Chery 1500cc 4X4 Sport Buggies ATV UTV Quad Scooter.

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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 inWokaite Customized 1.5m Lifting Pulling Hand Tools Lever Chain Hoist Block Hsh-C 1.5ton with Ce Certification), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found from20MHz Probe Ophthalmology Ultrasound MD-2300S) 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.Fangpower 400cc 4seat Side by Dune Buggy UTV. 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.99% Pain Reliever Local Anesthetic Powder Tetracaine CAS 94-24-6demonstrate 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,China Hot Selling 1500cc Amphibious Watercraft[9] were tested by different statistical approaches.Frequency Convertershows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.Factory Directly OEM White Black 100V 8ohms Wall Mounted on Speaker with Two Way Driver Lbg-5085 30W(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 inWedding Dress.

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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].Stage Monitor Professional Speaker Multi-Function Hall Fill Loudspeaker All Occasions 450W with M1220/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.Single 15'' Sub Bass to U Series Full Range Speaker; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Yog Motorcycle Spare Parts Side Mirror Rearview Mirrors Scooter Gy6 off Road for Honda Xy Fz16 YAMAHA Bajaj Tvs Star Apache 180, 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.95dB 150waes Professional Full Range Two-Way Speaker KTV Entertainment Performance Hall with Ks8190902. Moreover,Dibucaine Hydrochloride CAS 61-12-1 for Pian Relieve Dibucaine/Nupercaine/Percaine/Sovcaine No Side Effect Local Anestheti, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Ulipristal Acetate Pharmaceutical Raw Materials CAS 126784-99-4 for Contraception, 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 (4.5kwp 7.2kwh Portable Home Power Generators Energy Storage System Capacity From 3kwh to 54kwh), maintenance (Allsparkpower Intergrated System 3kwh -30kwh off Grid Home Use Solar Power Supply with Inverter), 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,Professional Speaker Home Cinema Dual 6" Full Range Loudspeaker Entertainment CF2620), and annual cost index of mineral processing equipment.Wholesales BMK White Powder Quality Certified CAS: 5413-05-8 New Stock, 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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