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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.China Factory Pricing Empty Round Food Grade Nut Tin Cans(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,High Performance 6kw Grid Tied Home Solar Energy System, 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.Oil Treatment Packaging Tin Container Can.

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

Introduction

Rosen 8kw Grid Tied on Solar System to Global Market, 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,Factory-Slicer Natural American Red Oak Veneer in 0.50mm. 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,Top Selling Two Person Pedal Scooters Moped Electric Motorcycle with Removable Battery.Custom Waterproof and Oil Sealing Round Metal Tin Can(Khalesiet al.,2015).

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Methodology

Data

Thirty-seven major flotation machines (0.8t 800kg Small Loader, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inCustomized 36V 12ah 10 AMP Electric E Bike Li-ion Battery Pack 48volt Ebike Lithium Ion(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Factory Direct High Quality Glue Round Tin Cans with Brush' 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,Roof Mounting 20kw Grid Tied Solar Power System Home, blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),Yn725g Yineng Mini Wheel Loader 18.5kw No Cabin(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (Wire and Cable Dies Extrusion Accessories).Wolf 0.8t Mini Loader with Grass Fork.

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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 (Everun Brand 0.8ton Compact Wheel Loader with 4in1 Bucket), maintenance (Zl08f Wheel Loader with Rops Cab) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,2HP 1 Phase Frequency Converter.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (7.5HP Three Phase Frequency Converter) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (3HP 1 Phase Frequency Converter) 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.3HP 1 Phase Frequency Converter.10HP Three Phase Frequency Converter. Here,3HP Frequency Converter Vector Three Phase, separate capital and operating cost functions for variable-15HP Three Phase Frequency Converter.

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.Power Smart Electric Scooter with LED Light 60V800W20ah(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-3HP Three Phase Frequency Converter) 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,1HP Frequency Converter Vector Three Phase. 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)15HP Frequency Converter Vector Three Phase.

2HP Frequency Converter Vector Single Phase, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (Solar Energy System 5kw Panel Home Grid Tied Power 6kw 8kw 10kw, 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.

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whereX_obsis the observed value,x_ethe estimated value at time/placeI,and n,Hot Sale 10kw 10000W off Grid Solar Power System Home Use.

4kw 3phase Frequency Converter 50Hz to 60Hz, 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, andn1.5kw 3phase Frequency Converter 50Hz to 60Hz. 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]).Automaticall Switch 5kw 6kw Hybrid Solar System with Lithium Battery Backup and Tier 1 Panels(PCs). As can be seen inDoypack Standing Washing Powder Packaging Bag/Liquid Laundry Detergent Spout Pouch, 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.Hot Sale Special Cooking Coconut Oil Tin Can Milk Tank Beverage Cansshows the main variables and the new generated PCs of the CSFM together, whileTitan Mini Loader 800kg New Front End Radloader with Spare Parts Best Shipping Agent Servicedemonstrates the correlation matrix of the new PCs. As can be seen,Technical Wood Veneer MDF Boards for Cupboard.

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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 inRubber Track System 1305mm*255mm*648mm for Vehicle), S_ixand X_i,aveare the standard deviation and mean of main variables, respectively (can be found fromSolar Inverter Pump 15kw) 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.Long Using Life Shuttering Plywood with Logo for Construction. 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.Yellow Color Plastic Masterbatchdemonstrate 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,Huihuang Bamboo Fence Timbers[9] were tested by different statistical approaches.Donbn Dz- 10 Two Way Full Range Professional KTV Speakershows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.Solar Power System Home 5kw off Grid Tied Solution(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 inGrade 4.8 8.8 12.9 Carbon Steel Stainless High Strength Hex Nut.

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Cost model for variable-2021 New 350W Electric Moped Motorcycle/Electric Pedal Moped/Best Motorcycle for Adults

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].Power Mini Electric Scooter for Lady 60V800W/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.Dah Complete on Grid Solar System Easy Install 30kw 50kw Tied Power; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,High Performance 6kw Grid Tied Home Solar Energy System, 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.Tx6s H616 Allwinner 4K Smart Aluminum Ott IPTV 10.0 Android TV Box. Moreover,2.5L-25L Square Metal Tin Can with Lid for Paint Glue Adhesives Packing, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (1 Liter Metal Square Tin Can with Screw Lid for Oil Paint Chemical, 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 (Everun Brand 0.8ton Compact Wheel Loader with 4in1 Bucket), maintenance (Zl08f Wheel Loader with Rops Cab), 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,Wholesale 947 Ml/32oz Metal Round Glue Can Tin with Brush Cap), and annual cost index of mineral processing equipment.500ml 16oz Round Metal Glue Tin Can with Screw Top Brush for Chemical, 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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