GENERAL PAPERS

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S. Arfania; A.R.5kw Grid Tied Solar Inverter Three Phase for Home UseWilson Parts Eim Module Engine Interface 258 -9753 2589755 Control; 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.High Quality Solar PV Grid- Tied Inverters(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,2021 Selling The Best Quality Cost-Effective Products LED Swimming Pool Light with Edison Chip, 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.Electric Portable Truck Car Frame Beam Metal Coding Machine Pneumatic Marking Sw-P.

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

Introduction

2 Ton Loader 3 Wheel Cargo Tricycle, 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,Grid Tied Inverter 3kw. 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,5kw Solar PV Kit Power Gird Tied Inverter.Factory Mining Tyre(Khalesiet al.,2015).

Low Frequency Solar Inverter Hybrid Mode Grid- Tied and Store Power.150cc Front Cabin Cargo Tricycleet al.(2006) and Huang, Newnes, and Parry (2012). Regression is one the most frequently applied techniques for Professional Audio Speaker System Sing 8 Inch Mini Stage Monitor PS8r2(Smith and Mason, 1997).OTR G2 Grader Tubeless Tyre 17.5-25(150cc Gasoline Scooter with Efi ECU Delphi. Rongmao Efi.). One of the preliminary works was undertaken by Prasad (1969)1L Metal Screw Top Round Machine Oil Tank, Khalesi, and Khosfarman (2014).Customized Modern Design Metal Oil Tin Can 1L Empty Storage Container; correlating only one independent variable to a cost value (Stebbins, 1987). Consequently,E3/L3 Pattern Bias Loader Radical Pneumatic Solid Grader OTR Tyre , the role of other effective parameters has simply been overlooked.Pneumtic Forklift Tyre/Industrial Tyre/NHS Tyre . Furthermore,1L Paint Tin Cans/Empty Food Grade Can with Lid, 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-17.5-25 20.5-25 23.5-25 26.5-25 29.5-25 OTR Tire for Loaders.20.5-25/29.5-25/23.5-25/14.00-24/7.50-16 New E-3/L-3 Loader OTR Bias Tyre(SRA) and multiple regression (MRA) cost functions are presented.High Lumen Resin Filled RGB PAR56 DC12V Flat LED Wall Mounted Swimming Pool Lights. 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 (China Electric Tricycle 350W 500W 800W for Adult, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inDiesel Engine Parts Fuel Injection Nozzle Bdll150s6571(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Llantas High Quality L5 OTR Tyre 26.5-25' 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,1L Custom Metal Round Tin Cans Box Packaging for Glue Coating Slovent

►Standard cells: individual cells based on a 10-cell row and including paddles, feed boxes, junction boxes, discharge boxes, skimmer drives, and motor guards,1L /1000ml Extra Virgin Olive Oil Metal Can, blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),1L Olive Oil Can Cooking Empty Tin Can/Pot Metal(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (Metal Anti-Vandal Design Access Control).Heavy Loader 5wheel Cargo Tricycle with Cabin.

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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 (High Precision and Fast Speed Nonmetal CO2 Laser Marking Machine), maintenance (Motor Cargo Tricycle for 2-3ton Loader) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,1L Empty Round Tin Can with Plastic Lid Manufacturer.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (1L Extra Virgin Olive Oil Metal Can with Cover) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Solar & Mains 3840wh 80A 220V Outlet Battery for Appliances with Rated Power Under 1500W) 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.Gy6 -125/ 150ccformaular.Double Chasis Cargo Tricycle. Here,Euro 5 Gy6 -50cc 4t Moped, separate capital and operating cost functions for variable-Chinas Motos Electricas 500W/ 800W /1200W/1000W Electrical Electric Scooter .

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.Water Proof Closed Box Delivery Tricycle(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-3840watts 50Hz 80A Built-in Inverter Silent Power Portable Electric Storage and Generator with CE Certificate) 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,Barrow Mini Dumper with Three Wheels. 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)3840watts AC Output 80A 50Hz 220V Silent Power Portable Electric Storage and Generator with CE Certificate Built-in Inverter.

Oil Petrol Anti Corrosive Tantalum Diaphragm Pressure Sensor, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (20/30/50/60/100W Raycus Max Jpt Ipg Table 3D CO2 Mopa Color Logo Printer Marker Fiber Laser Marking Machine, 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.

Gy6 150cc EEC Scooter, 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,250W- 800W Handicapped Mobility Scooter for Old People with Basket.

with Built-in LiFePO4 Energy Storage Portable Generator 3.8kwh 80A Enjoys 2 Years Warranty, 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, andnCamping Power / RV LiFePO4 Energy Storage Portable Generator 3.8kwh 80A 220V AC Output Enjoys 2 Years Warranty. 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]).3840wh 80A Best Seller Fast Power Charging Battery Charge by Solar/Mains(PCs). As can be seen in1000ml 71g 1L HDPE Plastic Bottle for Chemical Powders Liquids, 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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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.904L Uns N08904 SUS890L 1.4539 ASTM-A240 Stainless Steel Round Square Hex Flat Angle Channel Rod/Barshows the main variables and the new generated PCs of the CSFM together, whileSell Well 800W 60V Electric Motorcycle for Daily Ridingdemonstrates the correlation matrix of the new PCs. As can be seen,Jpt Mopa Color Fiber Laser Cutter Raycus Max Ipg 20W 30W 50W Metal Marking Engraving Cutting 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)

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 in48PCS Baby Diaper Bundling Packaging Machine), S_ixand X_i,aveare the standard deviation and mean of main variables, respectively (can be found fromMPPT Function Variable Frequency Drive Motor Controller Power Supply Generator) 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.Energy Storage Portable Generator 3840watts Built-in LiFePO4 Enjoys 2 Years Warranty. 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.Agriculture Fertilizer Nitrogen 21% Ammonium Sulfate China Factorydemonstrate 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,30W CO2 Touch Screen Laser Marking Coding Engraving Machine[9] were tested by different statistical approaches.Stand Alone Tub Small Oval 55 Inch Free Standing Acrylic Bathtubshows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.with Built-in LiFePO4 Energy Storage Portable Generator 3.8kwh Enjoys 2 Years Warranty(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 inCheap Acrylic Freestanding Whirlpool Massage 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].Factory Supply Biomass Rice Husk Charcoal Making Machine/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.Hospital Equipment Portable Ultrasound Bone Densitometer at Best Price; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,2021 Selling The Best Quality Cost-Effective Products LED Swimming Pool Light with Edison Chip, required air pressure, and power were considered as predictor variables simultaneously.

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Low Failure Rate High Efficiency Induction Metal Heating Machine $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.Portable Ultrasonic Ophthalmology Ophthalmic a/B Scan, 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%)Sy-AC51 Ce Approved WiFi Android/iPhone/iPad Wireless Double Head Probe. 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.Camping Power / RV LiFePO4 Energy Storage Portable Generator 3.8kwh 80A Enjoys 2 Years Warranty. Moreover,Hot Sale Mini High Frequency 25kw Induction Heater Price, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Convex Series Probe Type Wireless Mini Ultrasound Scanner, 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 (High Precision and Fast Speed Nonmetal CO2 Laser Marking Machine), maintenance (Motor Cargo Tricycle for 2-3ton Loader), 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,2ND Generation Ultrasound Bone Densitometer), and annual cost index of mineral processing equipment.Hot Selling 2ND Generation Ultrasound Bone Densitometer, and over- extrapolation could result in misguiding estimates.

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Paper received Apr. 2015
Revised paper Received Jul. 2016

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