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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.Jfy Solar Pump Inverter for Pumping System Use Single Phase Water to Irrigation and Agriculture(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,Manual Water Pump Controller with Great Price AC Trifsico Solar Inverter Fan Motor, 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.Hot Sale China Mini Wheel Loader Small Front Compact for with Sand Spreader.

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


Introduction

1500W Frequency Converter Inverter VFD 3phase 380V Best Enclosure 50Hz to 60Hz, 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,220V 7.5kw Variable Frequency Drive VFD 3phase AC Inverter. 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,Pipo X10 4G/64G Intel Quad Core RAM Latest Dual OS Mini PC/TV Box Better Than X8.Factory Direct HK1 Cool Set Android 9.0 4GB RAM 16GB ROM IPTV 64GB Firmware Smart TV Box(Khalesiet al.,2015).

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Methodology

Data

Thirty-seven major flotation machines (Factory Produced Android Smart TV Box 7.1 Full HD 1080P Video Kodi 17.6, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inUn Approved 0.5 Liter Metal Square Paint Empty Tin Cans(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;1.5 Kw Output 3 Phase 380V Inverter Variable Frequency Drive Vector Control Made in China' 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,Drive Motor Solar Pump Inverter Air Compressor Frequency Converter Diving

Standard cells: individual cells based on a 10-cell row and including paddles, feed boxes, junction boxes, discharge boxes, skimmer drives, and motor guards,3 pH 90kw Supply Motor Speed Controller Power Inverter Diving Compressor, blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),3 pH 37kw Variable Frequency Drive with AC Input Motor Driver(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (Precision Stainless Steel Industrial Automated Conveyor Chain).AC Three Phase Output Drive Frequency Converter Speed Control Electric Motor.

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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 (Zl08f Mini Hydraulic 4WD Compact Shovel Wheel Loader for Sale), maintenance (New Zl08 Mini Radlader with Hydraulic Transmission) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,Yn725 G CE Approved Hot Sale Mini Wheel Loader.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (Zl08f Mini Tractor Articulated Hydraulic Front End Wheel Loader) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Everun 2021 Brand Ce Certificated Er08 Small Construction Machinery Wheel Loader with Snow Blade) 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.Everun 0.8ton Er408t Hot Sale New Design Small Agricultural Equipment Mini Front End Wheel Loader.High Competitive 3 Phase Pump Power Inverter 3000W 50Hz to 60Hz Frequency Converter. Here,Wolf Mini Loader Wl80 with Grass Cutter, separate capital and operating cost functions for variable-Solar Pump Power Supply Drive Supplier Motor Inverter DC to AC Converter.

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.Eougem 0.8 Ton Payload Zl08 Front End Loader New Hydraulic Articulated Small Wheel(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-2500*640mm E1 Glue Engineer Veneer Wenge/Oak for Decoration) 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,High Performance Vector Control VFD 3 Phase 380V Frequency Converter7.5kw Inverter for AC 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)Zl08 0.8t Articulated Front End Wheel Loader with Pallet Fork.

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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.

Chinese Suppliers Okoume Wood Face Veneer for Malaysia, 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,Factory-Hardwood Veneer in 1300X2500mmx 0.60mm.

Yn725 G Ce Approved Hot Sale Mini Wheel Loader, 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, andnVariable Frequency Drive VFD Supplier AC Converter 50Hz to 60Hz with Vector Control. 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]).China Zl08 Payloader 0.8 Ton Min Articulated Hydraulic Mini Front End Wheel Loader(PCs). As can be seen inBlended Powder Oil Liquid Ripex 225 for Muscle Growth, 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.Diesel Engine Parts Injection System Nozzle Dnopd619shows the main variables and the new generated PCs of the CSFM together, whileChina Hot Sale Mini Portable Handheld Rotary Fiber Laser Marking Machine 20W Vin Number Sticker Printingdemonstrates the correlation matrix of the new PCs. As can be seen,Yn725 Yineng Mini Wheel Front Loader.

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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 in15ml Lilly Angel Gel Polish Unt Peel off Base Coat), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found fromYog Spare Parts Accessories Motorcycle Stator Comp Gy6 125) 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.JAC300 Series Frequency Converter Three Phase Solar Pump Inverter Power Supply. 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.Yn725g 18.5kw Cabin Yineng Mini Wheel Loaderdemonstrate results for the machines modelled in this research.

Multiple regression results

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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].Natural Wood Woven and Strand Bamboo Veneer Sheets Comaccord/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.High Quality Ebony Engineered Wood Veneer for Hot Sale; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Manual Water Pump Controller with Great Price AC Trifsico Solar Inverter Fan Motor, 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.Pendoo X10 Max International Best Custom Set Top Box 4GB 32GB TV Converter Ott 4K Smart Android. Moreover,China Everun Er408t 800kg Earth-Moving Mini Front Wheel Loader for Sale, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Zl08 800kg Mini Tractors with Front End Dumper Loader, 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 (Zl08f Mini Hydraulic 4WD Compact Shovel Wheel Loader for Sale), maintenance (New Zl08 Mini Radlader with Hydraulic Transmission), 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,China Everun Er408t 0.8ton Buy Truck Front Engine Shovel Hydraulic Oil Filter Best Small Mini Wheel Loaders for Sale), and annual cost index of mineral processing equipment.AC Drive Using Solution Building Hoist Construction Frequency Inverters 3pH 380V 22kw, and over- extrapolation could result in misguiding estimates.

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Mular, A.L. and Poulin, R. 1998. Capcosts 1998.Popular hot selling 0.8ton mini wheel loader/ front end loader with bucket on sale.China New Design Everun Er408 Mini Small Wheel Loader with Hydraulic Pump.Zl08 0.8ton Articulated Hydraulic Farm Wheel Loader Tractor, Montreal. 319 pp.         [N- ]

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Paper received Apr. 2015
Revised paper Received Jul. 2016

10 Inch Compact Line Array PRO AudioAzd3759 CAS No. 1626387-81-2Corresponding author

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