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Advancement variable

A chemical reaction produces a variation in the mole numbers of a closed solution, dui = Vi d, where the v, are the stoichiometric coefficients of Ihe species in the reaction (< 0 for reactants, > 0 for products) and is the advancement variable (> 0). For example, a weak acid, HA, dissociates in aqueous solution according to the reaction HA + H2O = H30 + A , and the respective stoichiometric coefficents are — 1, — 1, and +1, and +1. I he fundamental chemical thermodynamic equation for this reaction is then... [Pg.30]

For the case of a single reaction illustrated in Figure 2.5, the free energy of reaction can readily be calculated from equation 58. The activity, i can be calculated from the initial mole numbers and the advancement variable. In general, the calculation may require information of activity coefficients of the species, unless we can assume an ideal mixture. [Pg.45]

Let us take some entities quantified by a state variable q that are initially present with the amount q(0) in a storing dipole. This initial amount is constant until the dipole is connected to a conductor, provoking the circulation of energy which is then entirely dissipated. The advance variable t of the conversion (dissipation) is set by convention to zero (time origin of the process). [Pg.514]

The analogy with the absorbing medium works in comparing the quantity q to the radiation intensity and the advance variable (elapsed time) to the thickness (run distance). As for the absorbing medium that was cut into successive layers in which the decay of radiation was followed by the series of intensities l , I2, , the conversion is divided into sequences of durations Af, M2, At , corresponding to evolving quantities q, q2,..., qn- Each sequence features an amplification or transmission factor +i defined as the ratio of the output on the input quantities. [Pg.514]

Because both electrode reactions are written with the same value of ve, the advancements of these reactions and of the cell reaction are aU described by the same advancement variable For an infinitesimal change d, an amount of electrons equal to z d enters the... [Pg.451]

Another problem is to determine the optimal number of descriptors for the objects (patterns), such as for the structure of the molecule. A widespread observation is that one has to keep the number of descriptors as low as 20 % of the number of the objects in the dataset. However, this is correct only in case of ordinary Multilinear Regression Analysis. Some more advanced methods, such as Projection of Latent Structures (or. Partial Least Squares, PLS), use so-called latent variables to achieve both modeling and predictions. [Pg.205]

The most straightforward fype of lattice minimisation is performed at constant volume, where the dimensions of the basic imit cell do not change. A more advanced type of calculation is one performed at constant pressure, in which case there are forces on both the atoms and the unit cell as a whole. The lattice vectors are considered as additional variables along with the atomic coordinates. The laws of elasticify describe the behaviour of a material when... [Pg.309]

Generally, Httle is known in advance concerning the degree of homogeneity of most sampled systems. Uniformity, rarely constant throughout bulk systems, is often nonrandom. During the production of thousands of tons of material, size and shape distribution, surface and bulk composition, density, moisture, etc, can vary. Thus, in any bulk container, the product may be stratified into zones of variable properties. In gas and Hquid systems, particulates segregate and concentrate in specific locations in the container as the result of sedimentation (qv) or flotation (qv) processes. [Pg.297]

Other chemometrics methods to improve caUbration have been advanced. The method of partial least squares has been usehil in multicomponent cahbration (48—51). In this approach the concentrations are related to latent variables in the block of observed instmment responses. Thus PLS regression can solve the colinearity problem and provide all of the advantages discussed earlier. Principal components analysis coupled with multiple regression, often called Principal Component Regression (PCR), is another cahbration approach that has been compared and contrasted to PLS (52—54). Cahbration problems can also be approached using the Kalman filter as discussed (43). [Pg.429]

For continuous variables without constraints, optimum values can be found mathematically by usiag advanced calculus. Numerically, such optimum values can be found by computer programs, a number of which are available with different degrees of sophistication (46,47). [Pg.79]

In continuous dyeing there are many variables and the rapidity of the dyeing process requites many adjustments during the period in which several thousand meters of textile are dyed. Instmmental science has continued to advance rapidly so that continuous ranges are available which are entirely computer-controUed except for the makeup of the dye mix. These units feature computer control and closed-cincuit television and continuous color measurement techniques. [Pg.371]

The immediate objective of an advanced control effort is to reduce the variance in an important controlled variable. However, this effort must be coupled with a commitment to adjust the target for this controlled variable so that the process is operated closer to the constraint. In large throughput (commodity) processes, very small shifts in operating targets can lead to large economic returns. [Pg.730]

Although dynamic responses of microbial systems are poorly understood, models with some basic features and some empirical features have been found to correlate with actual data fairly well. Real fermentations take days to run, but many variables can be tried in a few minutes using computer simulation. Optimization of fermentation with models and reaf-time dynamic control is in its early infancy however, bases for such work are advancing steadily. The foundations for all such studies are accurate material Balances. [Pg.2148]

Variable-frequency drive technology is constantly improving in step with the advances in power electronic device technology and with the associated microprocessor controls. The following list of desirable fea tures is offered ... [Pg.281]


See other pages where Advancement variable is mentioned: [Pg.828]    [Pg.7]    [Pg.37]    [Pg.70]    [Pg.828]    [Pg.7]    [Pg.37]    [Pg.70]    [Pg.198]    [Pg.231]    [Pg.356]    [Pg.358]    [Pg.362]    [Pg.1508]    [Pg.2242]    [Pg.503]    [Pg.568]    [Pg.59]    [Pg.383]    [Pg.527]    [Pg.345]    [Pg.58]    [Pg.210]    [Pg.54]    [Pg.63]    [Pg.64]    [Pg.64]    [Pg.82]    [Pg.432]    [Pg.9]    [Pg.524]    [Pg.2148]    [Pg.70]    [Pg.147]    [Pg.115]    [Pg.135]    [Pg.122]    [Pg.562]    [Pg.80]    [Pg.145]   
See also in sourсe #XX -- [ Pg.7 ]




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