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Nonstandard HRC Carbide T Type Milling Cutter for Aluminum

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

2.5A 0.4kw IP20 Jarol Variable Frequency DriveCost modelling for flotation machines

S. Arfania; A.R.Motorcycle Parts Speed Cable for Gy6 -150Chinese Manufacture Jcb332/Y6195 Universal Cylinder Seal Kit; 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.Powder Metallurgy Hot Press Sintering Furnace(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,Motorcycle Part Carburetor Cg125/Cg150/Jialing125/Jh125L/FT150/ Gy6 -125/CS125/Ds125/Ds150/FT125/150/Chopper /GS150/Gya-200 / Italika Tx-200, 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.Cheap Popular Pattern 3.00-18 Motorcycle Tyre.

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


Introduction

Strong Corrosion Resistance High Overload Pressure Sensor, 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,300cc Triciclo Con Cabina. 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,Three Wheel Trolley Tube Type Tire 90/90-18.High accuracy stability Monocrystalline Silicon Pressure Transmitter(Khalesiet al.,2015).

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Methodology

Data

Thirty-seven major flotation machines (2D Echo Color Doppler Ultrasound Scanner Diagnostic Equipment, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inCustom Printing Mylar Bio Child Proof Stand up Pouch Plastic Food Grade Packaging Bag(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;2021 New Arrival Malaysian Eyebrow' 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,Ophthalmic Biometer &Pachymeter , blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),New Cooling Fast Racing Motorcycle 400cc 250cc Efi System 150km/H(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (P7.62 Indoor Single Color LED Display for Shopping Guide).Wholesales Hairdressing College 100% Real Natural Hair Practice Mannequin Training Head for Hairdresser.

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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 (China High Quality Ut-O100 Ophthalmic Pachymeter Ultrasound Scanner for Eye), maintenance (Luxury Mink Wig Raw Peruvian Hair 100% Unprocessed Human Body Wave Full Lace 18inches) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,50cc EEC Motorcycle Scooter Efi Moped.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (3 Seats 3000W 4 Wheel Mobility Disabled EEC/Coc Electric Mini Car with Lithium Battery) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (50cc/125cc Euro 5 Certificate Gas Scooter Motorcycle Moped Efi ) 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.Zhenhua New T5 300cc Motorcycle Efi.EEC Efi Racing Motorbike Motorcycles 125cc. Here,Motorbicycle with Efi Fuel Supply and Steel Tube Frame, separate capital and operating cost functions for variable-High Speed Kawasaki Ninja Motorcycle 250cc.

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.Mini Nameplate Pneumatic Engraving Machine(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-Electric Smart Cargo Car Tricycle 800W 40km/H Long Running Range) 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,Mini electric truck/ express vehicle/ Express vehicles. 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)Bost Motorcycle Parts Accessories Air Filter for 2-Wheel 4-Stroke Gy6 -125 -150 Bikes.

BAW Made of Electric Car with Lithium Battery, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (EEC L2e 1500W 3 Wheel Enclosed Electric Cabin Scooter, 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.

M7 Model LHD&Rhd EV with Solar Panel Pure Electric Car, 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,50cc Monkey Bike Gasoline Motorcycle Euro4 Efi.

4x2 electric pickup truck/ Electric vehicle/ car, 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, andnElectric 4 Wheelers Cars 800W 50km/H Mini Old Man Tricycle . 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]).2021 New Products Motor Power 800W Electric Trolley Tractor(PCs). As can be seen inSinbosen SA-212 Professional PA Speaker System 12 Inch Line Array Powered, 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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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.Sector Panel Antenna shows the main variables and the new generated PCs of the CSFM together, whileColor Custom Diesel Engine Used for Generator Set with Four-Strokedemonstrates the correlation matrix of the new PCs. As can be seen,1L 1.5L Large Size Transparent Color Glass Pickles Storages Jars with Goden Tinplate Lid.

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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 inAutomatic Granule Food Nuts Tea Leaves Zipper Doypack Stand up Pouch Ffs Filling Packing Machine), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found fromHzm908 Jn908 31.5 Tyre Loader Best Price Hot Sale) 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 0.1L Aluminum Tin Can for Food Packaging . 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.New Products Lift Recliner Chair Sofa 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,1L Cone Top Tin Can with Screw Cap[9] were tested by different statistical approaches.High Quality 3kwh Rechargeable LiFePO4 Lithium Batteryshows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.Gy6 -125 Motorcycle Spark Plug Cap Parts(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 inAutomatic Tablet/Capsule/Pill Counting Machine for Bag.

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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].Scooter Parts/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.Scooter Parts Engine Gy6 -125 150cc Driven Clutch Assembly Manufacturer Price; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Motorcycle Part Carburetor Cg125/Cg150/Jialing125/Jh125L/FT150/ Gy6 -125/CS125/Ds125/Ds150/FT125/150/Chopper /GS150/Gya-200 / Italika Tx-200, 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.Softel 3ru CATV 24 Way Fixed-Channel Analog Modulator. Moreover,Metal Fiber Ring Color Laser Engraving Machine, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Perfect Laser Rotary DOT Peen Marker for Sale, 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 (China High Quality Ut-O100 Ophthalmic Pachymeter Ultrasound Scanner for Eye), maintenance (Luxury Mink Wig Raw Peruvian Hair 100% Unprocessed Human Body Wave Full Lace 18inches), 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,0-5V 0-10V Raw Petro High Temperature Sapphire Pressure Transducer), and annual cost index of mineral processing equipment.Hot Sells Solar Power System for Home 3kwh with Both AC&DC Output, 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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