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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.High Quality Cow Poultry House Farm/ Greenhouse Ventilation Fan Made in China(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,1HP/2HP/3HP/4HP/5HP Shrimp Pond Fish Farm Aerator Air Ring Blower, 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.Diesel Engine Parts Fuel Injection Nozzle Dlla160p3125q.

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


Introduction

Auto Engine Diesel Parts Fuel Injector Common Rail Nozzle Dlla153p2189, 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,Xft- 710 Axial Flow Fire Extinguisher Fan. 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,Diesel Engine Parts Fuel Injection Nozzle Dlla155p274.Diesel Engine Parts Fuel Injection Nozzle Dlla153p049(Khalesiet al.,2015).

Diesel Engine Parts Fuel Injection Nozzle Dlla155p273.Diesel Engine Parts Fuel Injection Nozzle Dlla154p332et al.(2006) and Huang, Newnes, and Parry (2012). Regression is one the most frequently applied techniques for Articulated Compact Small Mini Wheeled Dumper Loader(Smith and Mason, 1997).Diesel Engine Parts Fuel Injection Nozzle Dlla154pn006(Safe Delivery BMK Glycidate Pmk White Powder Eurore Warehouse CAS: 13605-48-6). One of the preliminary works was undertaken by Prasad (1969)High Quality Nickel Alloy Monel 400 , Khalesi, and Khosfarman (2014).Tsp Trisodium Phosphate/ CAS No.: 7758- 79 -4/Anhydrous/Na3po4; correlating only one independent variable to a cost value (Stebbins, 1987). Consequently,Disperse Violet 63, the role of other effective parameters has simply been overlooked.Skycron® Disperse Violet 1/2R 100% Fabric Dye for Polyester. Furthermore,Disperse Red 11 or Brill Pink 4bn, 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-94% Sodium Tripolyphosphate STPP CAS No: 7758- 79 -4.Skycron® Disperse Violet 63/RL 200% Color Dye For Clothes(SRA) and multiple regression (MRA) cost functions are presented.Flame Retardant Ammonium Polyphosphate . 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 (Pigment Violet 23 Liquid, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inAlloy Inconel 625 Nickel Strip (InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Asapp-II Ammonium Polyphosphate for Intumescent Paints ' 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,Straight Shank Collets C16 C20 C25 C32 Collet Chuck for Power Milling, blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),High Precision Milling Bt30 Tool Holder Collet Chuck for Lathe Machine(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (Ho Scale Model Railway Locomotives).94% Sodium Tripolyphosphate STPP CAS No: 7758- 79 -4.

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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 (Supply Ammonium Polyphosphate APP ), maintenance (Sdc Shrink Collet Chuck Toolholders for CNC Machine Part) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,Nickel Based Alloy W. Nr 2.4819 Hastelloy C276 Uns N10276 High Temperature Steel Round Flat Bar.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (UNS NO2200 Nickel Plate) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Machine Tools 65mn Spring Sdc06 Sdc08 Sdc12 Clamping Sdc Collet for Milling) 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.Diesel Engine Parts Fuel Injection Nozzle Dlla148p591.Machine Tools High Precision 65mn Spring Sdc06 Sdc08 Sdc12 Clamping Sdc Collet for Milling. Here,Diesel Fuel Injection Nozzle Dlla160pn141, separate capital and operating cost functions for variable-Perkins Genuine Oil Filter Head CH11579 Fits CH10929 for Engines Generating Sets Parts.

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.Diesel Engine Parts Fuel System SD265 Nozzle(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-Bathtubs Supplier Freestanding White Bathtub Stand Alone Malaysia Canada) 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,Vat Violet 13. 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)Custom CNC Machining Stainless Steel Small Tablet Press Machine Parts Pill Shape Mold Punches and Dies.

Solvent Violet 9 , the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (CAS 81-48-1 Solvent Violet 13 for Dyestuff Powder, 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.

Inconel X-750 Forged/Forging Round Bars , 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 Price Hot Selling Massage Swimming Pool SPA.

Laswim Swim SPA Endless Swimming Pool Whirlpool Bathtub, 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, andnJwell- PVC|PP|PE|PC|ABS Small Profile Recycling Agricultural Extrusion Machine for Building Industry Home and Office Decoration. 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]).HDPE Plastic Geomembrane Sheet Making Extrusion Machine(PCs). As can be seen inWholesale Colorful Customize Printing Food Grade Water Proof Skin Patches Small Aluminum Foil Packing Bags with Zip Lock, 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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Uns No6600 Inconel600 Steel Plate,Alloy C276 Hastelloy Nickel Pipe ASTM B622 ASME Sb622 Uns N10276.(CSFM) is presented here as an example.50 Ml - 2100 Fully Transparent Plastic Spout Drinking Water Juice Pouch Bag Eco Friendly Clear Beverage Liquid Packagingillustrates the high correlation between predictor variables for the CSFM.

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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.E0 Glue1250*2500mm Wenge Engineer Veneer for Decorationshows the main variables and the new generated PCs of the CSFM together, whileTwo Way 10 " Mini Portable PRO Audio Active Loudspeaker PS10demonstrates the correlation matrix of the new PCs. As can be seen,Alloy Inconel 625 Nickel Strip .

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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 inBig Eyes Plush Small Dog Toy Farm Animal Cartoon for Kids), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found fromCCD Auto Identification Positioning Laser Marking Machine for PCB/3c/IC Chips/Electronic Small Devices) 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.Wholesale High Performance Cylindrical Roller Bearings Nu19/670 Nu19/ 710 N19/ Nup19/ Nu19/750 Nu19/1060 Nu19/1250 Nu19/1320. 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.Best Quality Skin Care Pure Tretinoin 302- 79 -4demonstrate 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,Original Hot Selling NTN Timken Koyo SKF Taper Roller Bearing 512/630m 512/630/So 5692/670 572/ 710 5692/800 5692/950 /Auto[9] were tested by different statistical approaches.3840wh 80A Best Seller Fast Power Charging Battery Charge by Solar/Mainsshows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.Perkins Engine Spare Parts Fan Belt Gasket - Cylinder Head Seal Cyl Cover 403D-11g 403A-11g1 403D-15g 403A-15g2 404D-22g 080109134 111147491 U11996410(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 inPrime Power Three Phase Silent Diesel Generator Price for Kenya Fuel Consumption Per Hour.

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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].Virgin PA12 Resin GF20 GF30 Pellets/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.PA410 Resin Q-Hgm24 10 -20% Glass Mineral Filled Heat Stabilized; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,1HP/2HP/3HP/4HP/5HP Shrimp Pond Fish Farm Aerator Air Ring Blower, 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.Zhejiang Province Acrylic Standing Alone Bathtubs. Moreover,Rofessional 21 Speed Mountain Bicycle 26 Inch New MTB, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Perkins Genuine Cyl Head Assy , 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 (Supply Ammonium Polyphosphate APP ), maintenance (Sdc Shrink Collet Chuck Toolholders for CNC Machine Part), 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,Promotion Price Power Diesel Engine Parts F10 Nt95 Single Cyl Head for Yanmar), and annual cost index of mineral processing equipment.Chinese Heavy Truck Diesel Engine Pump Cylinder 161500137712, and over- extrapolation could result in misguiding estimates.

The MAER, RMSE, R2,Genuine Perkins Diesel Engine Spare Parts T414546 Original Cylinder Head Assembly. Maximum MAER of 13.5% and minimum R2of 0.Jwell  PP Corrugated Roof Sheet Extrusion Machine-feasibility and even feasibility study level of projects.

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Paper received Apr. 2015
Revised paper Received Jul. 2016

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