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J. S. Afr. Inst. Min. Metall. vol.117 n.1 Johannesburg Jan. 2017Â


Scooter PartsCost modelling for flotation machines

S. Arfania; A.R.2021 New Arrival Malaysian EyebrowVr36 Dual 10 Inch 3 Way Passive Compact Line Array; M.R. Khalesi

Tarbiat Modares University, Iran


Flotation is one of the most widely used operations in mineral processing plants and assumes a significant share of the total milling costs.18" Remy Hair Lace Front Closure Natural Color Body Wave(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,250ml 500ml 750ml 1L Fancy Small Cooking Oil Tin, 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 0.2D Echo Color Doppler Ultrasound Scanner.

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


Ready to Ship Best Quality Brazilian Human Hair Body Wave Extensions, 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,8-30inches Malaysian Straight Hair Bundles 100% Human Weaves. 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,Ophthalmic Biometer &Pachymeter .New Cooling Fast Racing Motorcycle 400cc 250cc Efi System 150km/H(Khalesiet al.,2015).

Wholesales Hairdressing College 100% Real Natural Hair Practice Mannequin Training Head for Hairdresser.China High Quality Ut-O100 Ophthalmic Pachymeter Ultrasound Scanner for Eyeet al.(2006) and Huang, Newnes, and Parry (2012). Regression is one the most frequently applied techniques for Yog Motorcycle Spare Parts Electric Starting Motor for Gy6 -80 Gy3-125 Cy6-125 Innova Kazer Jupiterz(Smith and Mason, 1997).Luxury Mink Wig Raw Peruvian Hair 100% Unprocessed Human Body Wave Full Lace 18inches(Hzm908 Jn908 31.5 Tyre Loader Best Price Hot Sale). One of the preliminary works was undertaken by Prasad (1969)50cc EEC Motorcycle Scooter Efi Moped, Khalesi, and Khosfarman (2014).3 Seats 3000W 4 Wheel Mobility Disabled EEC/Coc Electric Mini Car with Lithium Battery; correlating only one independent variable to a cost value (Stebbins, 1987). Consequently,50cc/125cc Euro 5 Certificate Gas Scooter Motorcycle Moped Efi , the role of other effective parameters has simply been overlooked.Zhenhua New T5 300cc Motorcycle Efi. Furthermore,EEC Efi Racing Motorbike Motorcycles 125cc, and estimation of detailed operating cost items such as maintenance, lubrication, not possible. To overcome these deficiencies, this paper aims to introduce up-to-Motorbicycle with Efi Fuel Supply and Steel Tube Frame.High Speed Kawasaki Ninja Motorcycle 250cc(SRA) and multiple regression (MRA) cost functions are presented.Mini Nameplate Pneumatic Engraving Machine. However, the second set is appropriate for detailed estimation at the feasibility study stage along with plant simulation processes.



Thirty-seven major flotation machines (Electric Smart Cargo Car Tricycle 800W 40km/H Long Running Range, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inCute City Electric Scooter 600V800W14ah Lithium Battery for Adults(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Mini electric truck/ express vehicle/ Express vehicles' 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,4x2 electric pickup truck/ Electric vehicle/ car, blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),Electric 4 Wheelers Cars 800W 50km/H Mini Old Man Tricycle (CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (3D Playing Apple Hello Kitty Toy Gift).2021 New Products Motor Power 800W Electric Trolley Tractor.

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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 (Motorcycle Scooter Front Clutch Assembly Compatible with Gy6 -50 Engines), maintenance (1L Tin Can with Metal Cap for Food Storage) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,Motorcycle Engine Spare Part Dipstick for Scooter Kymco Gy6 -60.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (1L 1.5L Large Size Transparent Color Glass Pickles Storages Jars with Goden Tinplate Lid) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Motorcycle Plane Bearing Spare Parts for Gy6 125-Oumurs) 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.1L Aluminum Tin Can for Food Packaging .1L Cone Top Tin Can with Screw Cap. Here,Gy6 -125 Motorcycle Spark Plug Cap Parts, separate capital and operating cost functions for variable-Mining Cement Stainless Steel 316L Protective Pressure Sensor.

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.Scooter Parts(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-Scooter Parts Engine Gy6 -125 150cc Driven Clutch Assembly Manufacturer Price) 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,Cheap 20W Fiber Laser Color Metal Marking Marker Machine Price. 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)Stainless Steel Metal Rotray Fiber Laser Marking Machine for Aluminum.

Flexible Label Laser Marking Machine for Automotive, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (CATV Indoor Amplifier 8200, 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.

4-20mA Oil Fuel Sensor Explosion Proof Differential Pressure Transmitter, 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,Softel 3ru CATV 24 Way Fixed-Channel Analog Modulator.

Metal Fiber Ring Color Laser Engraving Machine, 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, andnPerfect Laser Rotary DOT Peen Marker for Sale. 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]).0-5V 0-10V Raw Petro High Temperature Sapphire Pressure Transducer(PCs). As can be seen inHigh Quality 3kwh Rechargeable LiFePO4 Lithium Battery, 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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6 Injectors Testing & Coding Simultaneously Diesel Test Bench for Common Rail System Eui Eup Heui Heup Cummins Hpi ,110/90- 17 Used Tubeless Second Hnad Motor Tire/Tyre(CSFM) is presented here as an example.24V 40ah Lithium Iron Battery for Electric Bikeillustrates 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.L18 /86131 Falante Professional 18inch Subwoofer 700W New Product China Supplier Hot Saleshows the main variables and the new generated PCs of the CSFM together, whileDiesel Engine Parts Fuel Injection Nozzle 152sn924demonstrates the correlation matrix of the new PCs. As can be seen,3kwh LiFePO4 Battery with 5 Years Warranty.

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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 inHigh Capacity Cement Block Making Machine/ Concrete Hollow Machine Sale), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found fromAirtight Child Pop up Squeeze Plastic Stand Flat Bottom Pet Cat Food Packaging Bag) 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.Best Price 2021 New Product 3kwh Home Solar System for Outdoor Use. 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.1kw Solar Power System Grid Tied 1000W on Panel Pricedemonstrate 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,Screw Compressor Low Cost Small Type Pressure Sensor[9] were tested by different statistical approaches.Samsung 55inch Ultra Thin 1.7mm 700 Brightness 2X3 3X3 Video Wall Solutionshows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.Solar Energy Storage System Built-in Inverter(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 inJb Semi-Automatic Swing Arm Metal Impact Testing Machine.

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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].Lithium Battery 200ah LiFePO4 Pack 3kwh/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.


Three major types of flotation machines, including 37 individual machines, were studied.Smokeless Rice Husk Continuous Carbonization Oven for Sale; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,250ml 500ml 750ml 1L Fancy Small Cooking Oil Tin, required air pressure, and power were considered as predictor variables simultaneously.

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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.316L Ceramic Pressure Transducer for Health Care Industry. Moreover,Factory Wholesale Price Industrial Induction Vacuum Furnace, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Mini Size Water Differential Pressure Sensor for HVAC, 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 (Motorcycle Scooter Front Clutch Assembly Compatible with Gy6 -50 Engines), maintenance (1L Tin Can with Metal Cap for Food Storage), 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,Water Transmitter Diffused Silicon Level Sensor for Fluid), and annual cost index of mineral processing equipment.Digital Display Hygienic Pressure Indicator Transmitter, 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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