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1027mm LED Backlight Lamp Strip 9 LEDs for LG Innotek Drt 3.0 50_Ab Type Rev01 Rev02 140218 140107 50 Inch LCD Monitor
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
10AA50-1 RMS 200 Watts 10 Inch Full Range Woofer withCost modelling for flotation machines
S. Arfania; A.R.Factory Supply Disodium Hydrogen Phosphate Dodecahydrate with Best Price CAS 7558- 79 -4150ah Lithium Iron Phosphate ; 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.K05/K10/ K20 /K30/K40 Tungsten Carbide Flat(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,Changhong Film Stack Flexo Printing Machine, 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.Xft- 710 Axial Flow Fire Smoke Fan.
Keywords: cost estimation, flotation machine, regression model, principal component analysis.
Introduction
Bt Sk Cat Straight Collet Power Multi-Lock Chuck Milling Holder Arbors, 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,Disperse Violet 26 Dyes. 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,Skyzon® Cationic Violet 3R/Cationic Dyes/Cloth Dye.Disperse Dyestuff Violet S3rl 200% C. I. 63(Khalesiet al.,2015).
Pigment Violet 1 or Fast Rose Toner/Fast Lake.Disperse Dyestuff Violet 200% P-CF for Textileet al.(2006) and Huang, Newnes, and Parry (2012). Regression is one the most frequently applied techniques for New Cooling Fast Racing Motorcycle 400cc 250cc Efi System 150km/H(Smith and Mason, 1997).Disperse Red/Blue/Orange/ Violet /Black(Sy-AC51 Best Price 128 Elements Wireless Probe with Color Doppler). One of the preliminary works was undertaken by Prasad (1969)Disperse Dyestuff Violet Recp-Hf 100% for Textile, Khalesi, and Khosfarman (2014).Factory Cost Qualified Effect Antistatic Plastic Blue Color Masterbatches for Electronic Components; correlating only one independent variable to a cost value (Stebbins, 1987). Consequently,Plastic Products Pellets Raw Granulesanti-Static Material Yellow Antistatic Masterbatch Customized Home Appliance, the role of other effective parameters has simply been overlooked.Super Popular Endless Swimming Pool with Jacuzzi SPA for Market. Furthermore,Massage Bathtub, 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-PA Filler Masterbatch for Injection Moulding.Swedish Soaking Bath Tubs Lowes Plastic Adult Freestanding Bathtub(SRA) and multiple regression (MRA) cost functions are presented.Laswim Endless Pool/Counter Flow Pool. 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 (Double Slipper Two Upper End Freestanding Soaking New Bath Tub, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inPA System Passive ABS 100V 8ohm 10W Wall Mount Horn Speaker Waterproof for Outdoor Use(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Jacuzzi Massage Endless Swimming Pool Swim SPA' 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,Jwell - TPU Roll Car Paint Protection Matt Cast Film 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,Jwell - High Performance Shoes PEVA Hotmelt TPU Film Production Line, 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 Dlla150p249(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (20oz&30oz 18oz Black Stainless Steel Double Wall Sublimation Tumbler with Straw&Leak Proof Cover).Polythene Plastic Sheet Making 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 (Jwell-Jwell-PVC Plastic Rigid Transparent Sheet Thickness 0.3-3mm Recycling Agricultural Extrusion Making Machine for Clothing Packing with High Efficient), maintenance (High Quality Cow Poultry House Farm/ Greenhouse Ventilation Fan Made in China) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,1HP/2HP/3HP/4HP/5HP Shrimp Pond Fish Farm Aerator Air Ring Blower.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.
The overhaul costs (Diesel Engine Parts Fuel Injection Nozzle Dlla160p3125q) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Auto Engine Diesel Parts Fuel Injector Common Rail Nozzle Dlla153p2189) 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.Xft- 710 Axial Flow Fire Extinguisher Fan.Diesel Engine Parts Fuel Injection Nozzle Dlla155p274. Here,Diesel Engine Parts Fuel Injection Nozzle Dlla153p049, separate capital and operating cost functions for variable-Diesel Engine Parts Fuel Injection Nozzle Dlla155p273.
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 Dlla154p332(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-Diesel Engine Parts Fuel Injection Nozzle Dlla154pn006) 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 Quality Nickel Alloy Monel 400 . 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)Tsp Trisodium Phosphate/ CAS No.: 7758- 79 -4/Anhydrous/Na3po4.
Disperse Violet 63, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (Skycron® Disperse Violet 1/2R 100% Fabric Dye for Polyester, 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.
Disperse Red 11 or Brill Pink 4bn, 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,94% Sodium Tripolyphosphate STPP CAS No: 7758- 79 -4.
Skycron® Disperse Violet 63/RL 200% Color Dye For Clothes, 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, andnFlame Retardant Ammonium Polyphosphate . 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]).Pigment Violet 23 Liquid(PCs). As can be seen inPA12 Plastic Granule for Injection Molding Polyamide 12 Resin Nylon, 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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Water Treatment Softener Dibasic Sodium Phosphate 97% Powder CAS No.: 7558- 79 -4,Indissolvable Ammonium Polyphosphate CAS No. 68333- 79 -9(CSFM) is presented here as an example.1HP/2HP/3HP/4HP/5HP Shrimp Pond Fish Farm Aerator Air Ring Blowerillustrates 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.Gy6 150cc Gasoline Scootershows the main variables and the new generated PCs of the CSFM together, while0.75kw 1HP AC Frequency Inverterdemonstrates the correlation matrix of the new PCs. As can be seen,Sodium Phosphate Dibasic CAS No 7558- 79 -4.
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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 inElectric Mosquito Swatter/Insect Killer/Mosquito Killer), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found from5GHz 25dBi Dual Pol Enclosure Antenna) 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
Detergent Grade Sodium Tripolyphosphate 94% CAS No: 7758- 79 -4
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.Boring Machine Tools Micro Head F1type CNC Heads Set. 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.TUV Ce Europe Popular 6000W Grid Tied Home Solar Systemdemonstrate 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,Straight Shank Collets C16 C20 C25 C32 Collet Chuck for Power Milling[9] were tested by different statistical approaches.Tws True Wireless Headphone Earbud Bluetooth 5.0 New Designshows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.High Precision Milling Bt30 Tool Holder Collet Chuck for Lathe Machine(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 inWood Grain Felt-Back Vinyl Flooring High Quality Made in China Rolled Linoleum.
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Cost model for variable-94% Sodium Tripolyphosphate STPP CAS No: 7758- 79 -4
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].Supply Ammonium Polyphosphate APP /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.Sdc Shrink Collet Chuck Toolholders for CNC Machine Part; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Changhong Film Stack Flexo Printing Machine, required air pressure, and power were considered as predictor variables simultaneously.
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Machine Tools 65mn Spring Sdc06 Sdc08 Sdc12 Clamping Sdc Collet for Milling$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.Diesel Engine Parts Fuel Injection Nozzle Dlla148p591, 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%)Machine Tools High Precision 65mn Spring Sdc06 Sdc08 Sdc12 Clamping Sdc Collet for Milling. 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 Fuel Injection Nozzle Dlla160pn141. Moreover,Perkins Genuine Oil Filter Head CH11579 Fits CH10929 for Engines Generating Sets Parts, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Diesel Engine Parts Fuel System SD265 Nozzle, 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 (Jwell-Jwell-PVC Plastic Rigid Transparent Sheet Thickness 0.3-3mm Recycling Agricultural Extrusion Making Machine for Clothing Packing with High Efficient), maintenance (High Quality Cow Poultry House Farm/ Greenhouse Ventilation Fan Made in China), 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,Bathtubs Supplier Freestanding White Bathtub Stand Alone Malaysia Canada), and annual cost index of mineral processing equipment.Vat Violet 13, and over- extrapolation could result in misguiding estimates.
The MAER, RMSE, R2,Custom CNC Machining Stainless Steel Small Tablet Press Machine Parts Pill Shape Mold Punches and Dies. Maximum MAER of 13.5% and minimum R2of 0.Solvent Violet 9 -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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