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Single 10 Inches Passive/Active Full-Range Professional LoudspeakerCost modelling for flotation machines

S. Arfania; A.R.72V20ah Battery 800W Motor 60km Distance Range Electric MotorcycleInsecticide Deltamethrin 2.5% Ec; 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.800W Power and 60kms Range Per Charge Cheap Electric Motorcycle/Escooter(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,Frequency Converter Special for Driving Asynchronous Motors 380V 50/60Hz, 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.Multi Birch Veneer Plywood Manufacturer.

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

Introduction

Empty Round Tin Can Paint Package Container, 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-Engineer White Oak Veneer in 0.25mm. 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,Rectangular Brake Oil Container Motor Engine Tin Can.Customized Multi Birch Veneer Plywood Manufacturer(Khalesiet al.,2015).

Edible Oil Can Manufacturer Square Food Grade Metal Tin.China Titanhi Zl08 800kg Compact Agricultural 0.8t Micro Pay Loader 4WDet al.(2006) and Huang, Newnes, and Parry (2012). Regression is one the most frequently applied techniques for Tetracaine Ophthalmic Solution Quick Reaction White Powder USA Warehouse CAS: 94-24-6(Smith and Mason, 1997).Compact structure mini loader/wheel loader/ with 0.8ton bucket for building construction(Power Electronics for Machine Tool Low Cost Variable Frequency Drive 2.2kw). One of the preliminary works was undertaken by Prasad (1969)CE Approved Wolf 0.8ton Bulldozer Mini Loader with Bucket, Khalesi, and Khosfarman (2014).1051 China Manufacturer Big on Grid Solar System Government Projects 1 MW 5wm 10; correlating only one independent variable to a cost value (Stebbins, 1987). Consequently,800W Sine Wave Water-Proof Controller Electric Scooter/Electric Motorcycle, the role of other effective parameters has simply been overlooked.Metal Tin Can Engine Oil Empty Tinplate Container. Furthermore,Rosen 35kw Grid Tied on Solar System to Global Market, 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-800W High Speed Electric Scooter/Bike.800W 60V20ah Brushless Electric Motorcycles(SRA) and multiple regression (MRA) cost functions are presented.10L Customized Tin Cans Paint Coating Used Metal Square Can. 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 (500W/ 800W / 1000W E Scooter/Electric Moped/Electric Bike, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inFactory Supply Benzaldehyde CAS 100-52-7 99% with Best Price in Stock(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Square Engine Oil Can Metal Paint Tin Container with Plastic Lid' 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,Automobile Paint Can 5L Square Tin with Metal Cap for Ink Oil, blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),866 5kw on Grid Solar System with Power Inverter for Home(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (Stainless Steel Sanitary Tank Output Lower Diaphragm Membrane Valve).Food Grade Metal Tin Can with Printing Logo for Cooking Oil.

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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 (Good-Tightness Square Tin Can Metal Engine Oil with Sscrew Lid), maintenance (800W Electric Scooter ) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,Good-Sealing Square Tin Can Engine Oil with Metal Lid.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (0.15mm-1.0mm Okume/ Bintangor/ Sapelli Natural Veneer From Linyi Orikey Wood) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Special Design Braided Veneer with Red Walnut) 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.Natural Wood Bintangor Face Veneer for Door and Furniture.Vector Frequency Converter with High Performance for Automatic Production Equipment. Here,Natural Horizontal Bamboo Veneer for Panel Board, separate capital and operating cost functions for variable-Frequency Converter with SVC and Vf Control 380V 50/60Hz.

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.Electric Motorcycle (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-High-Performance Frequency Converter Three Phase 380V 50/60Hz) 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,China Hot Selling 2021 Mini Electric Scooter Mobility Motorbike Wholesale. 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)Electric Motorcycle .

Electric Motorcycle , the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (Electric Motorcycle, 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.

Electric Motorcycle , 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,750ml Metal Tin Can Container for Chili Oil Canning.

Hot Sale Food Packaging Tin Can for Cooking Oil with Plastic Lids, 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, andnMetal Engine Oil Can Recycling Lubricant Tin Packaging Container. 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]).2L Galvanized Tin Cans for Cooking Oil with Plastic Lids(PCs). As can be seen inKraft Paper Flat Bottom Bag with Ziplock, 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.

Electric Motorcycles

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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.ASTM A790 Uns S31803 Seamless Stainless Steel Tubeshows the main variables and the new generated PCs of the CSFM together, whileFootball Basketball Soccer Stadium Sport Court High Mast Lighting Aluminum Floodlight 100W 200W 300W 500W 800W Outdoor LED Flood Lightdemonstrates the correlation matrix of the new PCs. As can be seen,800W Aluminium Alloy Wheel Hubs Sport Electric Motorcycle.

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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 inGrain Collection Pneumatic Stainless Steelauger Manufacturers), S_ixand X_i,aveare the standard deviation and mean of main variables, respectively (can be found fromHot Sale on-Grid 20kw Grid Tied Solar Power Home System) 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.Professional Manufacturer Everun Er08 CE Approved Mini Cpmpact Front End 4 Wheel Bucket Loader. 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.Ammonium Polyphosphate demonstrate 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,500W EEC Electric scooter[9] were tested by different statistical approaches.Factory Price 7000W Home Solar Power Generator System Grid Tiedshows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.Electric Motorcycle (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 inHexapetalous Flower Fashion Jewelry Brooch.

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Cost model for variable-Solar Electric Motorcycle

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].Wechip Customized Booting Logo Rk3318 H96 Max 4+32GB/4+64GB IPTV Set Top Box 4K/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.OEM 1500W EEC Electric Scooter ; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Frequency Converter Special for Driving Asynchronous Motors 380V 50/60Hz, required air pressure, and power were considered as predictor variables simultaneously.

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2L Empty Tin Container for Engine Oil Lubricant$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.High-Performance Three Phase Frequency Converter 380V 50/60Hz, 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%)Electric Motorcycle . 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.EEC Electric Scooter . Moreover,800w /1100w EEC Electric Scooter , and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Factory Produce Natural Face Veneer Size 1220X1830X0.25mm, 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 (Good-Tightness Square Tin Can Metal Engine Oil with Sscrew Lid), maintenance (800W Electric Scooter ), 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,Electric Motorcycle/Scooter/Bike ), and annual cost index of mineral processing equipment.800W EEC Electric Motorcycle, and over- extrapolation could result in misguiding estimates.

The MAER, RMSE, R²,No Foldable 40-60km Range Per Charge EEC Electric Scooter. Maximum MAER of 13.5% and minimum R²of 0.1 Wheel Electric Motorcycle/One Scooter-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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