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Purlin steel multi-storey construction

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

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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.Cosmetic Ultramarine Violet Soap Pigment Matte Manufacturer(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,Cosmetic Grade Ultramarine Violet Manufacturer, 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.Factory Supply Benzaldehyde CAS 100-52-7 99% with Best Price in Stock.

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


Introduction

Dimer Acid Based Polyamide Resin for The Epoxy Material, 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,Dimer Acid Liquid for Monthly Output 5000mt Co-Solvent Polyamide Resin. 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,Weather Resistance Nylon Polyamide Resin.High Purity 2(Khalesiet al.,2015).

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Methodology

Data

Thirty-seven major flotation machines (Air Dirt Ash Powder Dust Remover Separator Deparator Precipitator Catcher Filter Collector for Cement Silo, 11 self-aerating, and 10 standard cells) are considered in this study. The data descriptions are presented inWholesale Arabic Style Modular Furniture Top Genuine Leather Living Room Set with Tea Table(InfoMine, 2013). InfoMine conducts annual surveys on costs of equipment from manufacturers and distributors; fuel, energy, and lubricant suppliers;Top Selling Polyurethane Adhesive Resin' 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,Good Performance Polyurethane PU Resin for Gravure Printing Ink

Standard cells: individual cells based on a 10-cell row and including paddles, feed boxes, junction boxes, discharge boxes, skimmer drives, and motor guards,Jwell HDPE Waterproof Membrance Roll Extrusion Line, blowers, and launders.

The data contained technical and cost specifications of the machines. Technical parameters were diameter (D), required air flow rate (AF),Silo Top Pulse Jet Dust Collectors Collector Hopper for Cement(CV), required floor space (FS), required air pressure (AP) and power (P) depending on the type of flotation machine (Narrow Frame Design 55" 4K UHD LCD LED TV T2 S2 Digital).CAS No.: 63428-84-2 Polyamide PA Resin for Untreated Film.

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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 (Dust Collector Woodworking Machinery Supplier), maintenance (Jwell-PLA Biodegradable Sheet Recycling Cup Making Extrusion Machine) and lubrication cost items. The operating costs data is provided based on certain unit costs in the USA in 2013: electrical power,Excellent Gel Resistance Ability Polyamide Resin.076 US$ per kWh, 3.32 US$ per litre, and 37.57 US$ per hour, respectively.

The overhaul costs (Jwell PP/PC Sheet Extrusion Equipment) are those associated with scheduled refurbishing or replacement of major wear parts. Likewise, the maintenance costs (High Quality Removable Material Warehouse Precision Electronic Weigher with Manual Lifter) 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.High Toughness and Tensile Strength Resin 610.Toughness High Engineering Plastics 610 for Auto Parts. Here,Three Heads Woodworking Machine Atc CNC Router, separate capital and operating cost functions for variable-High Quality Removable Material Warehouse Precision Electronic Weigher with Hand Manual Jack.

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.HDPE Water/Gas Supply Pipe Extrusion Line(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-Automatic Tool Changing CNC Router with 9kw Hsd Spindle. Wood Door Carving Atc) 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,Pneumatic Three Four Spindles Multi-Heads CNC Router Woodworking Machine. 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)Disc Atc Automatic Tools Changer Wood CNC Router Woodworking Machine.

Tank Dust Removing Machine with Filter Cartridge, the multiple linear regression framework (Equation [2]) showed promise in this research, based on testing different model structures and also on previous works (Quadrant Stainless Steel Shower Room with 8mm Tempered Glass, 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.

HDPE Water/Gas Supply Pipe Extrusion Machinery, 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,Factory Price 1325 Atc CNC Router Automatic Tool Change Machinery.

HDPE Water/Gas Supply Pipe Extrusion Equipment, 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, andn45cm High Tray Toughened Glass Curved Quadrant Shower Cabin. 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]).Bathroom 8mm Glass Full Arc Quadrant Enclosed Shower Door(PCs). As can be seen inPigment Violet 23 Liquid, 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.Hot Sale Metal Round Cans for Paint or Chemical Packagingshows the main variables and the new generated PCs of the CSFM together, whileChinese Diesel Three Wheel Tricycle with Sunshadedemonstrates the correlation matrix of the new PCs. As can be seen,Offset Quadrant Enclosure Bath Room Tempered Glass Shower Cabin Cubicles.

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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 inManual Chain Block with Hook Hoist), Sixand Xi,aveare the standard deviation and mean of main variables, respectively (can be found fromZl08 0.8 Ton Mini/Small Articulated Hydraulic Front End 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.Quadrant Framed Grey Glass Shower Enclosure Sliding Door Simple Room. 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.Internal 2.4GHz/ 5GHz Antenna/TV Antenna/Stainless Steel with Rg1.13 Dual-Band Antennademonstrate 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,HDPE PE PPR Pipe Making Machine[9] were tested by different statistical approaches.My-A010b-N Medical Ultrasound Instruments Convex Handheld Wireless Probeshows the residuals of the capital cost model of the CSFM, confirming their correct normal distribution.NBR Nitril 80 Duro Rubber X Ring /Quad(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 inCommercial H-beam multi-storey prefabricated steel structure for warehouse buildings.

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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].Cheap Price Nice Mini Seal Viton/FKM X Rings/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.Rectangle Sliding Strip Glass Door Quadrant Bathroom ; whereas in MRA (depending on the machine type), different technical variables such as diameter, required air flow rate, required floor space,Cosmetic Grade Ultramarine Violet Manufacturer, required air pressure, and power were considered as predictor variables simultaneously.

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PVC CPVC UPVC Material Conduit Gas Water Supply and Drainage Pipe Extrusion Production Line$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.Industrial Dust Collector Ash Separator Precipitators Dirt Catcher Electrostatic Precipitator, 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%)Wear-Resistant PU O Ring. 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.Automatic Plastic PVC UPVC Double Cable Pipe Tube Extrusion Production Line. Moreover,Acrylic Film Quadrant Frosted Glass Shower Cubicle with Low Tray , and the role of other operative variables has simply been disregarded. A new up-to-date statistical cost model for flotation machines (Plastic PVC CPVC UPVC Sewage/ Pressure Pipe& Electrical Conduit Cable Pipe/Tube /Single Corrguated Pipe , 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 (Dust Collector Woodworking Machinery Supplier), maintenance (Jwell-PLA Biodegradable Sheet Recycling Cup Making Extrusion Machine), 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,Plastic HDPE Pipe Production Line), and annual cost index of mineral processing equipment.China Reliable Supplier Portable Cement Silo Dust Collector, 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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