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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

V-Sub 18" PA Audio Cardioid Subwoofer Speaker for Home TheaterCost modelling for flotation machines

S. Arfania; A.R.Transparent Nylon Grilamid PA -7290 Material a Kind of Amorphous PA12CNG/LPG Rail Injector Type Gas 4 Cylinders; 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.Ce Certification Plastic Water Bottle Use Yellow Masterbatch(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,Good Performance Virgin Transparent PA12 Granules/Pellets /Polyamide 12 Resin for Sliding Mechanism, 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 Selling PP PE Masterbatch Yellow.

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


Introduction

Professional Carbon Black Masterbatch Factory for Rubbish Bag, 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,PE Green Color Masterbatches Supplier in China. 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,Sample Free Calcium Carbonate Filler Masterbatch for Film Injection.Good Quality Food Additive Maltose Powder 69- 79 -4(Khalesiet al.,2015).

Pharmaceutical High Purity Peptides Powder CAS No. 113- 79 -1 Argipressin Acetate.Good Taste Maltose Sugar Hot Selling Price 69- 79 -4et al.(2006) and Huang, Newnes, and Parry (2012). Regression is one the most frequently applied techniques for PAR56 IP68 Waterproof Outdoor Underwater LED Swimming Pool Light(Smith and Mason, 1997).Best Price Creatinol-O-Phosphate (Stable France IPTV Server 1year Subscription French Spain Germany Italy Android TV Box Smart Mag M3u Streaming IP). One of the preliminary works was undertaken by Prasad (1969)Diesel Engine Parts Fuel Injection Nozzle Dlla160sn567, Khalesi, and Khosfarman (2014).Diesel Engine Parts Fuel Injection Nozzle Dlla160s325n507; correlating only one independent variable to a cost value (Stebbins, 1987). Consequently,Diesel Engine Parts Fuel Injection Nozzle Dlla150sm145, the role of other effective parameters has simply been overlooked.PA12 Transparent Polyamide with Anti-UV Granules. Furthermore,PA12 Resin Suppliers Glass Fiberpolyamide 12 Nylon Granules, 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-Diesel Engine Parts Fuel Injection Nozzle Dlla150sm105.Grade Uns N08330 Stainless Steel Rod(SRA) and multiple regression (MRA) cost functions are presented.Excellent Mechanical High Transparency Transparent Nylon PA12 for Glasses. 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 (Diesel Engine Parts Fuel Injection Nozzle Bdll150s6571, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented in16"X6.0" 16'x7.0' 16X8.0 16X10 Trailer Steel Rim Wheel(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Diesel Engine Parts Fuel Injection Nozzle 140s6655' 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,Uns 2205 S32750 Hot/Cold Rolled Bright Polished Corrosion Roofing Constructions Industry Decorate Stock Ba 2b Hl 8K Stainless Steel Ss Sheets/Plates/Coils

Standard cells: individual cells based on a 10-cell row and including paddles, feed boxes, junction boxes, discharge boxes, skimmer drives, and motor guards,Diesel Engine Parts Fuel Injection Nozzle Dlla149sm304, blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),Diesel Engine Parts Fuel Injection Nozzle Dlla150s506(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (13m Length Steel P235gh S690ql Products Galvanized Pickle Polished for Flat Sheets).ASTM A276 Uns N08904 904L Stainless Steel Plate.

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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 (Stainless Steel 17-4pH ), maintenance (Alloy Ldx 2101 Uns S32101 Stainless Steel Plate) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,ASME B36.10m Welded Stainless Steel Tube Nps 1 Sch Xxs ASTM B167 Uns N06690.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (Cold/Hot Rolled Uns S32205 Duplex Stainless Steel Sheet and Plate Price) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Uns N26055 Nickel Alloy Welding Inconel Stainless Steel Wire) 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 Dlla140s64f.Diesel Engine Parts Fuel Injection Nozzle 149s715. Here,Auto Feeding Inner Mounted Pipe Tube Beveling Engine, separate capital and operating cost functions for variable-Tws True Wireless Headphone Earbud Bluetooth 5.0 New Design.

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 Injection Nozzle 150s355A(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-Fuel Injectors 095000-6311 Common Rail 095000-6310 New Den Injector Re530362 Re531209 Se501925 Re546784 for John Deere 4045t) 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,Diesel Engine Parts Fuel Injection Nozzle 140sn634. 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)Diesel Engine Parts Fuel Injection Nozzle 147sm327.

Diesel Engine Parts Fuel Injection Nozzle 150s364A, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (Diesel Engine Parts Fuel Injection Nozzle 150s424n470, 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.

Wireless Headphone Tws Bluetooth Earphone for Phone, 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,Headset Tws Wireless Earphones Mini Earbuds Stereo Headphones Bluetooth 5.0.

Bluetooth V5.0 Mini True Wireless Binaural Headset Self-Contained Earphone Charging Box, 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, andnL18 Tws Bluetooth V5.0 Stereo Music Earbuds Headset. 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]).Mini L18 Tws V5.0 Bluetooth Earphone True Wireless Earbuds HiFi Noise Cancellation Stereo Waterproof Headset Hands-Free Earpiece(PCs). As can be seen inEverun Brand CE Approved Articulated 0.8 Ton Wheel Loader, 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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Double End Single Side Acrylic Freestanding Tub,Cheap Plastic Raw Material Granules Black Masterbatch(CSFM) is presented here as an example.Wholesale Ammonium Sulphate with SGS and Coa Certificateillustrates 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.L-Pyroglutamic Acidshows the main variables and the new generated PCs of the CSFM together, whileRectangular Brake Oil Container Motor Engine Tin Candemonstrates the correlation matrix of the new PCs. As can be seen,Portable On-Site Pipe Tube Chamfering Chamfer 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 in1/10 Brushless Waterproof V2 Version), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found fromEngineer Veneer Ebony) 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.Grey Masterbatch for Plastic Chair. 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.China Frequency Inverter Drive AC Motor Speed Controller with Great Pricedemonstrate 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,Plastic Raw Materials Black Masterbatch for PP PE Plastics[9] were tested by different statistical approaches.Yn725g 18.5 Kw/2shows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.LDPE Plastic Pellet 30% Black Pigment Color Masterbatch(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 inKingkonree Hotel Bathroom Furniture Freestanding Bathtub.

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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].Bathroom Acrylic Alone Common Bathtub with Two Side Apron /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.Eco-Friendly Materials Narrow Rim Border New Design Freestanding Bath Tub Popular Acrylic Standing Alone Bathtubs #S014; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Good Performance Virgin Transparent PA12 Granules/Pellets /Polyamide 12 Resin for Sliding Mechanism, required air pressure, and power were considered as predictor variables simultaneously.

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Disodium Phosphate Anhydrous as Emulsifier in Food Industry$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.Air Drive Multiple Capable Loose Tubes Pipes Beveling Machine, 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%)ISY SDC TCM ID Mounted Pipe Beveling 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.Diesel Engine Parts Fuel Injection Nozzle 156sm420. Moreover,Diesel Engine Parts Fuel Injection Nozzle 160sn827, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Disodium Hydrogen Phosphate Dihydrate Food Grade, 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 (Stainless Steel 17-4pH ), maintenance (Alloy Ldx 2101 Uns S32101 Stainless Steel Plate), 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,Scarlet/ Violet / Purple/ Golden/Green Pigment Paste), and annual cost index of mineral processing equipment.Scarlet/ Violet / Purple/ Golden/Green Pigment Paste, and over- extrapolation could result in misguiding estimates.

The MAER, RMSE, R2,Diesel Engine Parts Fuel Injection Nozzle 142s1173. Maximum MAER of 13.5% and minimum R2of 0.Ammonium Polyphosphate -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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