Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Dimensional analysis, configuration

Scale-up implies a change from a small configuration to a larger one. To successfully perform the scale-up of a chemical process, one must first establish the categories for which similarity must be ensured. The difficulty that arises is that techniques based on the governing differential equations or dimensional analysis provide only a means for identifying pertinent dimensionless groups. Their absolute relationships in complex processes must be developed from small-scale experiments which usually... [Pg.115]

Dimensional analysis of the problem for this reactor configuration pulls out three dimensionless parameters, the Peclet number, Pe, d1 and defined as ... [Pg.443]

For four-dimensional analysis of cell migration, set up the microscope configuration and filter set for the detection of the following dyes (CMFDA, CMTMR, CMF HC, and second... [Pg.204]

Dimensional Analysis The flow phenomena in an ejector are complex, and hence, it is not possible to predict the flow rate of the secondary fluid a priori. In conventional chemical engineering, such phenomena are treated by a dimensional analysis of the dependent and independent variables based on the Buckingham % theorem. In the present case, the dependent variable is the rate of entrainment of the secondary fluid, and the independent variables are the physical properties, ejector configuration, and operating parameters. The latter are defined mainly by the flow rate of the primary fluid. Ben Brahim et al. (1984) gave the following separate dependences for the primary and secondary fluids ... [Pg.345]

Postle R and Munden D L (1967a), Analysis of the dry relaxed knitted loop configuration. Part I Two-dimensional analysis ,/ Text 7 st,58,T329-T351. [Pg.67]

The use of MDS in food science is not particularly common, and it is especially used in biological studies, psychic-economic studies on food perception and sales, and sensory analysis [115-118]. In all those situations which belong more to analytical food science it is very rare to see this method applied, perhaps because of the fact that, in such a field, it is quite hard to reason in terms of distances among samples rather than variables, the interest being more focused both on the visualization of sample similarities and dissimilarities, and on the interpretation of which variables are responsible. When the full distance matrix (or the similarity/dissimilarity one) is used, the variable influence is lost, which causes a drawback both in terms of interpretation and in terms of lack of a mapping operator to use on new objects in order to project them into the lower-dimensional point configuration. [Pg.128]

The AUGUR information on defect configuration is used to develop the three-dimensional solid model of damaged pipeline weldment by the use of geometry editor. The editor options provide by easy way creation and changing of the solid model. This model is used for fracture analysis by finite element method with appropriate cross-section stress distribution and external loads. [Pg.196]

Fig. 9. Two-dimensional sketch of the 3N-dimensional configuration space of a protein. Shown are two Cartesian coordinates, xi and X2, as well as two conformational coordinates (ci and C2), which have been derived by principle component analysis of an ensemble ( cloud of dots) generated by a conventional MD simulation, which approximates the configurational space density p in this region of configurational space. The width of the two Gaussians describe the size of the fluctuations along the configurational coordinates and are given by the eigenvalues Ai. Fig. 9. Two-dimensional sketch of the 3N-dimensional configuration space of a protein. Shown are two Cartesian coordinates, xi and X2, as well as two conformational coordinates (ci and C2), which have been derived by principle component analysis of an ensemble ( cloud of dots) generated by a conventional MD simulation, which approximates the configurational space density p in this region of configurational space. The width of the two Gaussians describe the size of the fluctuations along the configurational coordinates and are given by the eigenvalues Ai.
Why is the NOE so important to the NMR spectroscopist Because it allows us to obtain information about the 3-dimensional structure of the molecule under consideration in solution (remember the only other way to do this is by X-ray structural analysis, but this only works for substances which give good-quality crystals, and by definition not for liquids). Thus we can obtain information on conformations or configurations, something which is particularly important for biomolecules such as proteins, where NOE measurements are absolutely vital. [Pg.17]

An alternative system proved to be both simpler and more user friendly (Unger et al., 2004 Machtejevas et al., 2006). Thus far we have used this configuration to analyze human plasma, sputum, urine, cerebrospinal fluid, and rat plasma. For each particular analysis we set up an analytical system based on a simple but specific strategy (Figure 9.5). The analysis concept is based on an online sample preparation and a two-dimensional LC system preseparating the majority of the matrix components from the analytes that are retained on a RAM-SCX column followed by a solvent switch and transfer of the trapped peptides. The SCX elution used five salt steps created by mixing 20 mM phosphate buffer (pH 2.5) (eluent Al) and 20 mM phosphate buffer with 1.5 M sodium chloride (eluent Bl) in the following proportions 85/15 70/30 65/45 45/55 0/100 with at the constant 0.1 mL/min flow rate. Desorption of the... [Pg.214]


See other pages where Dimensional analysis, configuration is mentioned: [Pg.83]    [Pg.85]    [Pg.86]    [Pg.85]    [Pg.830]    [Pg.343]    [Pg.22]    [Pg.389]    [Pg.104]    [Pg.1332]    [Pg.135]    [Pg.187]    [Pg.78]    [Pg.95]    [Pg.381]    [Pg.2693]    [Pg.2741]    [Pg.536]    [Pg.317]    [Pg.387]    [Pg.58]    [Pg.68]    [Pg.494]    [Pg.160]    [Pg.296]    [Pg.311]    [Pg.312]    [Pg.428]    [Pg.430]    [Pg.546]    [Pg.392]    [Pg.144]   


SEARCH



Configuration analysis

Configurational analysis

Dimensional analysis

© 2024 chempedia.info