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S. Arfania; A.R.Diesel Engine Parts Fuel System Nozzle Dlla145pn574Best Chinese Big Wheel Electric Motorcycle Racing Bike Adult Bicycle; 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.Master Batch Organic Colors(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,Orange Color Masterbatch, 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.Plastic Purple Color Masterbatch.

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

Introduction

Plastic Grey Color Masterbatch, 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,Free Sample Color Masterbatch ABS PE Non Toxic for Injection Molding. 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,Cosmetic Grade Liquid Form 70% CAS 79 -14-1 Glycolic Acid.Health Raw Material Dibasic Sodium Phosphate CAS No.: 7558- 79 -4 with High Quality(Khalesiet al.,2015).

Cosmetic Raw Material 99% Retinoic Acid 302- 79 -4.ISO and SGS Factory Provide L-Arginine Nitrate 749- 79 -33et al.(2006) and Huang, Newnes, and Parry (2012). Regression is one the most frequently applied techniques for Bleached Poplar/Birch Carb Plywood(Smith and Mason, 1997).High Quality Gentisic Acid CAS No.: 490- 79 -9 with Fast Delivery(Eco SIP System 30W Waterproof PA Wall Speaker with Digital Power Amplifier Connect to Poe Switch). One of the preliminary works was undertaken by Prasad (1969)Factory Provide Top Quality L-Carnitine Fumarate 99% 90471- 79 -7, Khalesi, and Khosfarman (2014).Health Raw Material L-Carnitine Fumarate CAS No.: 90471- 79 -7 with High Quality; correlating only one independent variable to a cost value (Stebbins, 1987). Consequently,Sports Nutrition L-Carnitine Fumarate High Purity Raw Material Powder CAS 90471- 79 -7, the role of other effective parameters has simply been overlooked.Best Price Bulk Powder Retinyl Palmitate 79 -81-2. Furthermore,Nutrition Enhancer Hot Selling High Quality N-Glycyl-L-Tyrosine Powder CAS 658- 79 -7 White with Reasonable Price and Fast Delivery, 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-Health Raw Material L-Carnitine Fumarate CAS.: 90471- 79 -7.Diesel Engine Parts Fuel Injection Nozzle Dlla152sm043(SRA) and multiple regression (MRA) cost functions are presented.Diesel Engine Parts Fuel Injection Nozzle Dlla156sm139. 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 152sn924, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inNew Design Two-Way Full Range Professional Loudspeaker Multi-Function Speaker Tx1020(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Auto Engine Diesel Parts Fuel Injector Common Rail Nozzle Dlla162p2266' names:

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The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),Transparent Nylon 12 Resin Raw Material Polyamide Granules(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (Lawn Mower Cable Boundary for Worx Gardena Robomow Ambrogio Automower).PA12 Natural Resin Transparent Granules Pellets Polyamide Price.

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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 (PA12 Plastic Granule for Injection Molding Polyamide 12 Resin Nylon), maintenance (PA12 Injection / Extrusion Molding Polyamide 12 Nylon Granules) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,Nylon 12/Nylon Granules/Polyamid 12/Transparent Glasses Frame.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (Good Performance Virgin Transparent PA12 Granules/Pellets/Resin Equivalent with Tr90 for Glasses Frame) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Raw Material Plastic Resin Pellets Polyamide PA12 Medical Grade Transparent Nylon Granules) 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.Hot Sales! ! Polyamide Nylon PA12 PA Plastic Granules for Injection Grade.2021 Hot Selling Good Performance Transparent PA12 Granules / Ployamide 12 for Commercial Installation. Here,Yanmar Fuel Shutdown Solenoid 1503es-12s5suc12s, separate capital and operating cost functions for variable-Transparent Nylon Grilamid PA -7290 Material a Kind of Amorphous PA12.

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.Ce Certification Plastic Water Bottle Use Yellow Masterbatch(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-Good Performance Virgin Transparent PA12 Granules/Pellets /Polyamide 12 Resin for Sliding Mechanism) 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,Hot Selling PP PE Masterbatch Yellow. 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)Professional Carbon Black Masterbatch Factory for Rubbish Bag.

PE Green Color Masterbatches Supplier in China, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (Sample Free Calcium Carbonate Filler Masterbatch for Film Injection, Khalesi, and Khosfarman, 2014).

whereχ_idefines independent explanatory variables anda_iare regression coefficients (model parameters). As was mentioned, independency ofx_ivariables 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.

Good Quality Food Additive Maltose Powder 69- 79 -4, 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]:

whereX_obsis the observed value,x_ethe estimated value at time/placeI,and n,Pharmaceutical High Purity Peptides Powder CAS No. 113- 79 -1 Argipressin Acetate.

Good Taste Maltose Sugar Hot Selling Price 69- 79 -4, 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).

whereC_eis the estimated cost,C_athe actual cost, andnBest Price Creatinol-O-Phosphate . 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]).Diesel Engine Parts Fuel Injection Nozzle Dlla160sn567(PCs). As can be seen in10 Inch High Quality PA Speaker 10tbx100, 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 andX_ias Equations [5] and [6]:

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In this research, main variables ofX₁, X₂... X_nwere 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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Diesel Engine Parts Fuel Injection Nozzle Dlla150sm145,PA12 Transparent Polyamide with Anti-UV Granules(CSFM) is presented here as an example.ATV Scooter Motorcycle High Quality Partsillustrates 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.Retionoic Acid API USP Tretinoin Good Quality Competitive Price CAS No 302- 79 -4shows the main variables and the new generated PCs of the CSFM together, whileHot Selling Tires Motorcycle Tyres 110/90- 17demonstrates the correlation matrix of the new PCs. As can be seen,PA12 Resin Suppliers Glass Fiberpolyamide 12 Nylon Granules.

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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)

whereX_iare main technical variables (like power or required air),a_iare calculated by multiplication of coefficients of the model based on PCs as predictors by the eigenvectors of PCs (as illustrated inGood quality Herbicide Acetochlor), S_ixand X_i,aveare the standard deviation and mean of main variables, respectively (can be found fromQ1+Q Sub Sound & Light Installation High Performance in Concert Event) 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.Grade Uns N08330 Stainless Steel Rod. 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.off Grid 5kw 10kw Solar Power Systemdemonstrate 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].PA12 Transparent Polyamide with Anti-UV Granules/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.904L Uns N08904 SUS890L 1.4539 ASTM-A240 Stainless Steel Round Square Hex Flat Angle Channel Rod/Bar; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Orange Color Masterbatch, required air pressure, and power were considered as predictor variables simultaneously.

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Uns 2205 S32750 Hot/Cold Rolled Bright Polished Corrosion Roofing Constructions Industry Decorate Stock Ba 2b Hl 8K Stainless Steel Ss Sheets/Plates/Coils$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 Dlla149sm304, 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%)Diesel Engine Parts Fuel Injection Nozzle Dlla150s506. 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.ASTM A276 Uns N08904 904L Stainless Steel Plate. Moreover,Stainless Steel 17-4pH , and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Alloy Ldx 2101 Uns S32101 Stainless Steel Plate, 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 (PA12 Plastic Granule for Injection Molding Polyamide 12 Resin Nylon), maintenance (PA12 Injection / Extrusion Molding Polyamide 12 Nylon Granules), 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,ASME B36.10m Welded Stainless Steel Tube Nps 1 Sch Xxs ASTM B167 Uns N06690), and annual cost index of mineral processing equipment.Cold/Hot Rolled Uns S32205 Duplex Stainless Steel Sheet and Plate Price, and over- extrapolation could result in misguiding estimates.

The MAER, RMSE, R²,Uns N26055 Nickel Alloy Welding Inconel Stainless Steel Wire. Maximum MAER of 13.5% and minimum R²of 0.Diesel Engine Parts Fuel Injection Nozzle Dlla140s64f-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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