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Ratings models

The main conclusion to be drawn from these studies is that for most practical purposes the linear rate model provides an adequate approximation and the use of the more cumbersome and computationally time consuming diffusing models is generally not necessary. The Glueckauf approximation provides the required estimate of the effective mass transfer coefficient for a diffusion controlled system. More detailed analysis shows that when more than one mass transfer resistance is significant the overall rate coefficient may be estimated simply from the sum of the resistances (7) ... [Pg.264]

Ryan et al. [Chem. Eng. Progr, 90(8X 83 (1994)] showthat separate mass and heat transfer-rate modeling of an HCl absorber predicts 2 percent fog in the vapor. The impact is equivalent to lowering the stage efficiency to 20 percent. [Pg.1414]

Full rate modeling Accurate description of transitions Appropriate for shallow beds, with incomplete wave development General numerical solutions by finite difference or collocation methods Various to few... [Pg.1498]

FIG. 16-35 EluHon curves under trace conditions with a constant separation factor isotherm for different feed loadings and N = 80. Solid lines, rate model dashed line, local equilihrium theory for Xp= 0.4. [Pg.1536]

Important exceptions to McCabes gro th-rate model have been noted by Bramson, by Randolph, and by Abegg. These are discussed by Canning and Randolph, Am. Inst. Chem. Ting. J., 13, 5 (1967). [Pg.1658]

No industrial process enjoys a knowledge of mechanism and kinetics so complete that models can be compared to it. Aris (1975) and Cropley (1978) simulated experimental results using a rate model. From the data a new model was derived and compared with the original. [Pg.117]

Although experimental results could be fitted well with irreversible rate models, ignoring thermodynamic facts could be disastrous. Although reversibility moderated the maximum temperature at runaway, it was not the most important qualitative result. In fact, the one dimensional (directional, or irreversible, correctly) model was not realistic at these conditions. For the prediction of incipient runaway and the AT ax permissible before runaway, the reversibility was obviously important. [Pg.134]

Several methods are used to fit rate models, the two most common of which often give erroneous results. The first is the transformation of a proposed rate model to achieve a model form that is linear in the parameters. An example is the nonlinear model ... [Pg.175]

For two-phase flow through pipes, an overall dimensionless dis-eharge eoeffieient, /, is applied. Equation 12-11 is referred to as the equilibrium rate model (ERM) for low-quality ehoked flow. Leung [28] indieated that Equation 12-11 be multiplied by a faetor of 0.9 to bring the value in line with the elassie homogeneous equilibrium model (HEM). Equation 12-11 then beeomes... [Pg.957]

The method includes the mass unit vent flow capacity per unit area. G. This allows using any applicable vent capacity calculation method. The method incorporates the equilibrium rate model (ERM) for vent flow capacity when friction is negligible. Additionally, a coiTection factor is used for longer vent lines of constant diameter and with negligible static head change. ... [Pg.974]

Confidence Estimation for the Constant Failure Rate Model... [Pg.52]

BFR - Binomial Failure Rate (model of common cause system interactions). [Pg.459]

The part stress analysis prediction section contains failure rate models for a broad variety of parts used in electronic equipment. This method includes the effects of part quality factors and environmental factors. The tabulated values of the base failure rate are "cut off" at the design temperature and stress of the part. [Pg.89]

The rate model for a biological process is given by a Monod rate model... [Pg.39]

CASE STUDY OXYGEN TRANSFER RATE MODEL IN AN AERATED TANK FOR PHARMACEUTICAL WASTEWATER... [Pg.43]

Figure 3.7 shows the growth of R. rubrum in a batch fermentation process using a gaseous carbon source (CO). The data shown follow the logistic model as fitted by (3.14.2.11) with the solid lines, which also represent an unstructured rate model without any lag phase. The software Sigma Plot was used to fit model (3.14.2.11) to the experimental data. An increase in concentration of acetate in the prepared culture media did not improve the cell dry weight at values of 2.5 and 3 gT-1 acetate, as shown in Figure 3.7. However, the exponential growth rates were clearly observed with acetate concentrations of 0.5-2 g-F1 hi the culture media. Figure 3.7 shows the growth of R. rubrum in a batch fermentation process using a gaseous carbon source (CO). The data shown follow the logistic model as fitted by (3.14.2.11) with the solid lines, which also represent an unstructured rate model without any lag phase. The software Sigma Plot was used to fit model (3.14.2.11) to the experimental data. An increase in concentration of acetate in the prepared culture media did not improve the cell dry weight at values of 2.5 and 3 gT-1 acetate, as shown in Figure 3.7. However, the exponential growth rates were clearly observed with acetate concentrations of 0.5-2 g-F1 hi the culture media.
Table 3.1 shows the kinetic parameters for cell growth, rate models with or without inhibition and mass transfer coefficient calculation at various acetate concentrations in the culture media. The Monod constant value, KM, in the liquid phase depends on some parameters such as temperature, initial concentration of the carbon source, presence of trace metals, vitamin B solution, light intensity and agitation speeds. The initial acetate concentrations in the liquid phase reflected the value of the Monod constants, Kp and Kp. The average value for maximum specific growth rate (/xm) was 0.01 h. The value... [Pg.64]

Table 3.1. Kinetic parameters and rate models with and without inhibition mass... Table 3.1. Kinetic parameters and rate models with and without inhibition mass...
The reaction rate model is based on total enzyme, substrate and inhibitor concentrations. [Pg.107]

Table E.2.3. Data collected and calculated for rate model... Table E.2.3. Data collected and calculated for rate model...
For Sa << Km, the rate model is reduced to a first-order rate equation The Michaelis-Menten rate equation is ... [Pg.112]

Pesticide inhibition on an active enzyme has been reported, which caused enzyme activities to reduce. The collected data with and without inhibition are presented hi Table E.5.1. Determine the rate model with and without inhibitor (see Table E.5.1). Also define the type of inhibition. [Pg.115]

Rearrangement of the rate model and the equation is solved for substrate S ... [Pg.123]

A Monod rate model is used to demonstrate the rate of biomass generation. We neglect the cell death rate. Let us denote the ratio of biomass rate of generation to biomass concentration, rJX, that is the specific growth rate /a also denotes the dilution rate D is defined as number of tank volumes passed through per unit time, FIV. After substitution of D and /a into (6.8.1), the following equation is obtained ... [Pg.154]

The Monod rate model is valid for a CSTR bioreactor with maximum specific growth rate of 0.5 li 1 and K, 2 g-1. What would be a suitable dilution rate at steady-state condition, where there is no cell death if initial substrate concentration is 50g-l-1 and yield of biomass on substrate is 100%. [Pg.164]

The performance of a biochemical reactor is designed and evaluated based the reaction rate equation. The rate of biomass generation is based on the Monod rate model ... [Pg.298]

We wish to compare the performance of two reactor types plug flow versus CSTR with a substrate concentration of Csf = 60g-m 3 and a biomass yield of Y = 0.1. In a plug flow bioreactor with volume of 1 m3 and volumetric flow rate of 2.5 m -li what would be the recycle ratio for maximum qx compared with corresponding results and rate models proposed for the chemostat ... [Pg.299]

In plug flow reactor the value for Cs is reduced from 12 to 3 g-m 3, then the retention time and rate model with recycle ratio in a plug flow reactor can be written as ... [Pg.302]

Tlie biochemical reaction rate followed the Monod rate model with a Monod rate constant of ks = 6.2 X 10 6g-cm 3 and a specific growth rate of vmlx 6.67 X 10 7g-cm 3-s. Design the bioreactor with a suitable heat transfer area. [Pg.323]


See other pages where Ratings models is mentioned: [Pg.831]    [Pg.264]    [Pg.319]    [Pg.1534]    [Pg.1995]    [Pg.2354]    [Pg.175]    [Pg.971]    [Pg.52]    [Pg.128]    [Pg.76]    [Pg.1152]    [Pg.1152]    [Pg.107]    [Pg.123]    [Pg.154]    [Pg.203]    [Pg.207]    [Pg.262]   


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A Model for Reaction Rates

A More General Rate Model for LTL Service

Animal models mortality rates

Arrhenius rate model

Attrition rate distribution model

Barrier crossing rate model

Basic model and the rate equations

Biokinetic models intake rates

Biokinetic models uptake rates

Biological enzyme modeling rate constant

Brennan-Schwartz interest rate model

Building A Rate Model LTL Service

Burning rate model

Catalytic reactions rate models, Langmuir-Hinshelwood

Chromatography rate model

Coking rate equations, deactivation models

Collision rate model

Combustion Models of Super-Rate, Plateau, and Mesa Burning

Compartment model with gamma-distributed elimination flow rate

Components failure rate modeling

Constant Failure Rate Model

Contents 4 Interest Rate Modeling

Cooling rate effects model description

Degradation modelling hydrolysis rate equation

Degradation modelling rate equation

Diffusion-controlled model kinetic rate

Discharge rate models

Discharge rate models applications

Discharge rate models equations

Discharge rate models liquid discharges

Discharge rate models release phase

Discharge rate models utility

Dissipation rate, turbulent flow turbulence model

Dissociation rate-determined model

Dissolution rate, modelling

Downstream processing rate model

Electron transfer rate model rates

Empirical rate law models

Enhanced kinetic development rate model

Ethanol consumption rate model

Extension to Complex Rate Models Homogeneous Catalysis

Eyring absolute reaction rate model

Failure rate modeling

Failure rate models

Film Drainage Rate Reynolds Model and Further Modifications

Flow rates CSTR parameter modeling

General Rate-Based Model

General rate model

General rate model numerical solution

General rate model with pore diffusion

Global Rate Equations (Shrinking-core Model)

Heart rate variability modeling

Homogeneous catalysis complex rate models)

Interest rate modeling

Interest rate modeling Brennan-Schwartz model

Interest rate modeling Heath-Jarrow-Morton model

Interest rate modeling Hull-White model

Interest rate modeling Vasicek model

Interest rate modeling concepts, basic

Interest rate modeling equilibrium

Interest rate modeling model

Interest rates dynamics, model

Interest-rate model

Interest-rate models bond analysis

Interest-rate models fitting process

Interpretation of Heterogeneous Kinetic Rate Data Via Hougen-Watson Models

Joint scalar dissipation rate model

Joint scalar dissipation rate spectral model

Kinetic development rate model

Kinetic model rate constant estimation

Kinetic modeling pseudo first order reaction rate

Kinetic modeling rate equations

Kinetic modeling zero order reaction rate

Kinetic models diffusion rate constant

Kinetic models equilibrium rate

Kinetic models intra-particle diffusion, rates

Kinetic theory modeling energy dissipation rate

Kinetics rate model

Lagrangian models for the micromixing rate

Lumped rate model

Marcus model rate theory

Matrix models population growth rate

Model Based on the Rate Equation and Experimental Data

Model Calculation for the Glass Transition with an Underlying Heating Rate

Model formulation, reaction-rate equations

Model mass transfer rates

Model oxygen transmission rate

Model perfusion rate-limited

Model permeability rate-limited

Modeling Heart Rate Variability using a Baroreflex Model

Modeling sediment accumulation rates

Modeling the Rate Coefficient

Models Based on a Rate-Controlling Step

Models based on plastic rate equations

Models for dissolution rate

Models rate model

Models rate model

Models rate-determining event

Models, diversification rates

More General Models of Freight Rates

Nonequilibrium stage model rate equations

Nonequilibrium, Rate-Based Model

Numerical modelling corrosion rate

Outflow rate modeling

Periodic operation rate model

Power Law Models and Elementary Rate Laws

Probabilistic Models with Random Hazard Rates

Problems and errors in fitting rate models

Quantitative rating models

Quasi-species models rates

Quenching rate model

Random Hazard-Rate Models

Rate Constants - Modeling Atmospheric Chemistry

Rate Eley-Rideal models

Rate Equation Models for Excited-State Dynamics

Rate Equations and Kinetic Models

Rate Expression (Other Models)

Rate Langmuir-Hinshelwood models

Rate Model Development

Rate Options and the Black Model

Rate constant model

Rate controlled process models

Rate controlled process models pore diffusion

Rate controlled process models solid film

Rate dual site model

Rate equations complex, 81 steady state model

Rate equations cooperative models

Rate kinetic modelling

Rate laws parameter modeling

Rate model

Rate of Suspension Precipitation. The Cellular Model

Rate parameters, pharmacokinetic model

Rate single site model

Rate state models

Rate state models coupling

Rate state models phenomenology

Rate theory modeling

Rate theory statistical adiabatic channel model

Rate-based Stage Model

Rate-based approach for modeling

Rate-based model

Rate-controlled sorption model

Rate-controlled sorption transport model

Reaction rates collision model

Reaction rates model for

Reaction-rate models

Reaction-rate models diagnostic parameters

Relaxation rate, free volume model

Retention-Time Models with Random Hazard Rates

Scalar dissipation rate equilibrium model

Scalar dissipation rate model

Scalar dissipation rate spectral model

Short rate models

Simplified equilibrium rate model (ERM)

Sorption rate model

Sulfur dioxide oxidation rate model

Term-structure modeling rate derivatives

Terminal Model for Rate of Radical Copolymerization

The General Rate Model of Chromatography

The standard tunneling model with infinite cooling rate

Third-rate model

Three-dimension model of motorisation and fatality rates

Transfer reactions model rates

Turbulent dissipation rate model

Two-Factor Interest Rate Models

Variable rate model

Volcano Plots and Rate Theory Models

Zero-order degradation rate model

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