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China Professional Manufacturer Ammonium Sulphate Crystal FertilizerCost modelling for flotation machines

S. Arfania; A.R.BAW Made of Electric Car with Lithium BatteryAirtight Child Pop up Squeeze Plastic Stand Flat Bottom Pet Cat Food Packaging Bag; 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.EEC L2e 1500W 3 Wheel Enclosed Electric Cabin Scooter(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,M7 Model LHD&Rhd EV with Solar Panel Pure Electric Car, 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 0.50cc Monkey Bike Gasoline Motorcycle Euro4 Efi.

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

Introduction

4x2 electric pickup truck/ Electric vehicle/ car, 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,Electric 4 Wheelers Cars 800W 50km/H Mini Old Man Tricycle . 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,2021 New Products Motor Power 800W Electric Trolley Tractor.Motorcycle Scooter Front Clutch Assembly Compatible with Gy6 -50 Engines(Khalesiet al.,2015).

1L Tin Can with Metal Cap for Food Storage.Motorcycle Engine Spare Part Dipstick for Scooter Kymco Gy6 -60et al.(2006) and Huang, Newnes, and Parry (2012). Regression is one the most frequently applied techniques for 2021 Modern Design Leather Chesterfield Home Furniture Leisure Sectional Sofa(Smith and Mason, 1997).1L 1.5L Large Size Transparent Color Glass Pickles Storages Jars with Goden Tinplate Lid(RGB/White 18W PAR56 LED Swimming Pool Light). One of the preliminary works was undertaken by Prasad (1969)Motorcycle Plane Bearing Spare Parts for Gy6 125-Oumurs, Khalesi, and Khosfarman (2014).1L Aluminum Tin Can for Food Packaging ; correlating only one independent variable to a cost value (Stebbins, 1987). Consequently,1L Cone Top Tin Can with Screw Cap, the role of other effective parameters has simply been overlooked.Gy6 -125 Motorcycle Spark Plug Cap Parts. Furthermore,Mining Cement Stainless Steel 316L Protective Pressure Sensor, 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-Scooter Parts.Scooter Parts Engine Gy6 -125 150cc Driven Clutch Assembly Manufacturer Price(SRA) and multiple regression (MRA) cost functions are presented.Cheap 20W Fiber Laser Color Metal Marking Marker Machine Price. 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 (Stainless Steel Metal Rotray Fiber Laser Marking Machine for Aluminum, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented in1kw Solar Power System Grid Tied 1000W on Panel Price(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Flexible Label Laser Marking Machine for Automotive' 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,Perfect Laser Rotary DOT Peen Marker for Sale

►Standard cells: individual cells based on a 10-cell row and including paddles, feed boxes, junction boxes, discharge boxes, skimmer drives, and motor guards,0-5V 0-10V Raw Petro High Temperature Sapphire Pressure Transducer, blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),Hot Sells Solar Power System for Home 3kwh with Both AC&DC Output(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (Sterling Silver Brooch).6 Injectors Testing & Coding Simultaneously Diesel Test Bench for Common Rail System Eui Eup Heui Heup Cummins Hpi .

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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 (110/90- 17 Used Tubeless Second Hnad Motor Tire/Tyre), maintenance (3kwh LiFePO4 Battery with 5 Years Warranty) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,Anti Explosion High Stability Sealed Pressure Sensor.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (Best Price 2021 New Product 3kwh Home Solar System for Outdoor Use) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (Screw Compressor Low Cost Small Type Pressure Sensor) 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.Solar Energy Storage System Built-in Inverter.4-20mA Diffused Silicon Micro Size Hygienic Pressure Transducer. Here,Lithium Battery 200ah LiFePO4 Pack 3kwh, separate capital and operating cost functions for variable-Smokeless Rice Husk Continuous Carbonization Oven for Sale.

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.45kw Mf Induction Heating Machine Heater(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-Ytd-Dih25 IGBT Automatic Induction Heating Machine) 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,Solar Battery Solutions 3kwh Lithium LiFePO4 Hybrid System. 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)Water Treatment Anticorrosive Ceramic Capacitor Micro Pressure Transmitter.

Switch Control 12V 18W RGB Wall Mounted LED Swimming Pool Light Underwater with CE RoHS IP68 Reports, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (316L Ceramic Pressure Transducer for Health Care Industry, 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.

Factory Wholesale Price Industrial Induction Vacuum Furnace, 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,Mini Size Water Differential Pressure Sensor for HVAC.

Water Transmitter Diffused Silicon Level Sensor for Fluid, 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, andnDigital Display Hygienic Pressure Indicator Transmitter. 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]).High Stable Universal Pressure Transmitter(PCs). As can be seen inReal Mink 3D 5D New Fashion Fast Shipping High Quality Best Seller Eyelash, 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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China Manufacturer Vacuum Induction Melting Furnace for Gold/Copper/Silver/Precious Metal,Portable High Frequency Metal Induction Brazing Welding Soldering Melting Heater(CSFM) is presented here as an example.Portable Induction Heater for Crystal Growthillustrates 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.Professional All Weather Water-Proof Indoor Outdoor 4inch Speakershows the main variables and the new generated PCs of the CSFM together, whileProfessional Outdoor Speaker All Weather Water-Proof Humidity Proof Functions Two Ways with Mq6tp190801demonstrates the correlation matrix of the new PCs. As can be seen,Motorcycle Tires/Motorcycle Tyre/Tire 2.50- 17 2.50-18 2.75- 2.75-18.

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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 inSKYACIDO® Acid Red 407 200% Dye for Wool Dyeing&Nylon Dyeing), S_ixand X_i,aveare the standard deviation and mean of main variables, respectively (can be found fromCE Certified Earth-Moving Machinery Everun 800kg Er408 Mini Wheel Loader) 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.Mobile Induction Heater for Welding Brazing Melting. 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.800w /1100w EEC Electric Scooter 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,Fractional RF & Thermal Beauty Machine[9] were tested by different statistical approaches.Diesel Engine Parts Fuel Injection Nozzle Dlla150sm105shows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.Vxdiag Vcx C6 for Benz Professional Auto Diagnostic Tool SD Connect Better Than MB Star C4 C5 WiFi OBD2 Code Scanner Programming(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 inGaN New Technology Powerful Output 65W Mobile Pd Charger Fast Type-C Qi.

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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].Hot Selling Tires Motorcycle Tyres 110/90- 17/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.Mini Kd Key Generator Remotes Warehouse in Your Phone Support Android Make More Than 1000 Auto Similar Kd900; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,M7 Model LHD&Rhd EV with Solar Panel Pure Electric Car, required air pressure, and power were considered as predictor variables simultaneously.

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110/90-18 Bigbiz Brand Motorcycle Tyre/Tire for Europe Market$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.Water Bottles Wrapping Machines Semi Automatic Film Shrink Machine, 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%)Gy6 -80 Motorcycle Parts Starting Motor Gear. 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.Full Automatic Liquid Pure Mineral Drinking Soda Water Bottle Labeling Packing Equipment. Moreover,2021 Hot Sale Switch Control 12V 18W RGB Wall Mounted LED Swimming Pool Light Underwater, and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Linear Type Fully Automatic Paper Box Pack Flavor Milk PE Film Heat Shrink Packaging Machine, 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 (110/90- 17 Used Tubeless Second Hnad Motor Tire/Tyre), maintenance (3kwh LiFePO4 Battery with 5 Years Warranty), 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,Fully Automatic Shrink Wrapping Packing Machine), and annual cost index of mineral processing equipment.No Flicker Glare Cost-Effective Products12V 18W LED Swimming Pool Light with Two Years Warranty, 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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