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Determinations, number

Example 8-34 Determine Number of Trays for Specified Product Absorption... [Pg.118]

Figure 9-125. Graphical integration to determine number of transfer units. Figure 9-125. Graphical integration to determine number of transfer units.
Kremser-Brown-Sherwood Method — No Heat of Absorption, 108 Absorption — Determine Component Absorption in Fixed Tray Tower, 108 Absorption — Determine Number of Trays for Specified Product Absorption, 109 Stripping — Determine Theoretical Trays and Stripping or Gas Rate for a Component Recovery, 110 Stripping — Determine Stripping-Medium Rate for Fixed Recovery, 111 Absorption — Edmlster Method, 112 Example 8-33 Absorption of Hydrocarbons with Lean Oil, 114 Inter-cooling for Absorbers, 116 Absorption and Stripping Efficiency, 118 Example 8-34 Determine Number of Trays for Specified Product Absorption, 118 Example 8-35 Determine Component Absorption in Fixed-Tray Tower, 119 Nomenclature for Part 2, 121... [Pg.497]

Releasing agents 793 Replicate determinations number of, 142 reliability of, 137 Residual current 595 Resistance 504 Resistivity 519 Resonance line sources 790 Results, comparison of 139 Reverse osmosis 90 Reversible back e.m.f. 505 Rf values 234 Rotated electrode 511 R.U. powder 766, 772... [Pg.872]

Attempts were made to determine number average molecular weights (Mn) by osmometry (Mechrolab Model 502, high speed membrane osmometer, 1 to 10 g/1 toluene solution at 37 °C), however, in many instances irreproducible data were obtained, probably due to the diffusion of low molecular weight polymer through the membrane. This technique was abandoned in favor of gel permeation chromatography (GPC). [Pg.90]

If it is possible to analyse end groups of a particular specimen of polymer, it may be possible to use the data to determine number average relative molar mass. If the molecules are branched the degree of branching can be measured from a combination of end group analysis and relative molar mass determination (determined by an alternative method). [Pg.90]

Now we need to get used to the common examples. Although it is important that you know how to count and determine numbers of lone pairs, it is acmally much more important to get to a point where you don t have to waste time counting. You need to get familiar with the common situations you will encounter. Let s go through them methodically. [Pg.15]

Finally, the three-part commitment to mount studies for the first three production batches and a statistically determined number (at least one) each year,... [Pg.170]

To determine number of stages required, assume 7 1 compression ratio maximum per stage. [Pg.58]

Atomic number Experimentally determined number characteristic of an element that is equal to the number of protons in the nucleus. [Pg.21]

Table 1 Calculations on HF with DZ+P basis. The total energies are reported as -(E + 99) hartree. Dimension should be understood as number of determinants (number of spin-adapted configurations in italics). NPE (non-parallelity error) is the difference between the maximal and minimal deviation from FCI... Table 1 Calculations on HF with DZ+P basis. The total energies are reported as -(E + 99) hartree. Dimension should be understood as number of determinants (number of spin-adapted configurations in italics). NPE (non-parallelity error) is the difference between the maximal and minimal deviation from FCI...
Let A be an m x p matrix, abias be an m x 1 vector, B be an n x m matrix, and bbias be an n x 1 vector. Vectors x and q are then p x 1 and n x 1 vectors, respectively, and m becomes an arbitrarily determined number equal to the rows in A, the length of abias, and the columns in B. The total fitted parameters in Equation 9.6 is then m(p + n + l) + n as such, an upper limit for m) is set by the number of x, q data records available for parameter fitting. A corresponding lower limit for m is determined empirically That lower limit is reached when is so low that Equation 9.6 can no longer map x to q with the required degree of accuracy. [Pg.285]

Physical modeling is not as accurate as mathematical modeling. This should be attributed to the fact that in dimensionless equations, the dependent number is expressed as a monomial product of the determining numbers, whereas the corresponding phenomena are described by polynomial differential equations. Moreover, errors in the experimental determination of the several constants and powers of the dimensionless equations can also lead to inaccuracies. We should also keep in mind that the dimensionless-number equations are only valid for the limits within which the determining parameters are varied in the investigations of the physical models. [Pg.525]

Requests for re-collection of samples are, by definition, made a significant time after the original collections so, at the present time, re-collections have been requested only from the first 3 years of collections. To date, a total of 55 re-collections has been made of 48 species by MBG and 47 re-collections of an as yet to be determined number of species by Cl (the determination of the exact number of ethnobotanically selected species is hampered by the sterile status of some of them). Most of these re-collections were from collections made in the first 2 years of the project and it is anticipated that re-collection requests will continue for 1 to 2 years after the sample collecting ends. An expedition in early December 1997 has completed an additional 11 re-collections that were requested early in year 5 of the project. [Pg.64]

I shall not peremptorily deny that from most of such mixt Bodies as partake either of Animal or Vegetable Nature, there may by the Help of the Fire be actually obtained a determinate number (whether, Three or Four or Five, or fewer or more) of Substances worthy of differing Denominations. [Pg.396]

Carbon-14 labelled co-catalysts have been used on a number of occasions to measure the numbers of active sites. Usually, however, osmotically determined number average molecular weights, were not reported. Thus it was not possible on these occasions to demonstrate unequivocally that nc< l which is a prime requirement for meaningful results. Recently, Ayrey and Mazza (80) have examined the titanium trichloride-triethyl aluminium catalysed polymerization of styrene at 60° and have found values of ne 3—10. They also obtained indirect evidence for the formation of poiyethylene-14C during the preparation of the catalyst. Similar observations have been reported previously (92). On the strength of these observations the use of labelled co-catalysts to measure active centres must be regarded as a somewhat suspect procedure. This conclusion is borne out by the recent kinetic work of Coover et al. (81). [Pg.143]

Authority. Date. Ratio Determined. Number of Expert- ments. Atomic Weight. [Pg.140]

Potentials are values at pH 7.0, expressed relative to the standard hydrogen electrode. ND, Not determined. Numbers in parentheses are references. [Pg.307]

What is the net sample rate and its uncertainty This raises the general question of calculating the uncertainty in the result of some mathematical operations on an uncertain number. If we consider two independently determined numbers and their uncertainties (standard deviations), A + [Pg.572]

If the objective is a pragmatic study of the effects of variables such as composition, preparation, and pretreatment on the acidic properties of a solid catalyst, the catalytic titration method would be the most relevant way to determine number and strength of the acid sites that form the seat of catalytic activity. Further understanding could then be gained by complementing the catalytic method with an independent study using a tool such as infrared spectroscopy. [Pg.119]


See other pages where Determinations, number is mentioned: [Pg.46]    [Pg.109]    [Pg.357]    [Pg.174]    [Pg.46]    [Pg.264]    [Pg.349]    [Pg.175]    [Pg.340]    [Pg.16]    [Pg.244]    [Pg.628]    [Pg.27]    [Pg.603]    [Pg.467]    [Pg.80]    [Pg.72]    [Pg.200]    [Pg.43]    [Pg.232]    [Pg.109]    [Pg.174]    [Pg.321]    [Pg.91]    [Pg.210]    [Pg.569]   
See also in sourсe #XX -- [ Pg.9 , Pg.27 , Pg.36 , Pg.65 , Pg.67 , Pg.156 ]




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Brutto-reaction, detailed mechanism and the number of parameters under determination

Cetane number determination

Coordination number, determination

Determination chlorine number

Determination kappa number

Determination matrix condition number

Determination methanol number

Determination of Copper Number

Determination of Necessary Tray Numbers at Heteroazeotropic and Heteroextractive Distillation

Determination of coordination number

Determination of hydration numbers

Determination of number

Determination of number-average

Determination of number-average molecular

Determination of number-average molecular weights

Determination of particle size distribution by number

Determination of specific surface from a number count

Determination of the Coordination Number

Determination of the Hydration Number

Determination of the Number-Average Molecular Weight

Determination of the Transference Number

Determination of the plate number from difference in boiling point

Determination penetration number

Determination permanganate number

Determination strong acid number

Determining Avogadros Number

Determining aggregation numbers

Determining heat transfer coefficients. Dimensionless numbers

Determining the Number of Attached Hydrogens

Determining the Number of Stages

Determining the number of hidden units

Diffusion transference number determination

Distillation column design tray number determinations

Ethoxylate number determination

Ethylenic linkages, determination number

Experimental Determination of the Donor Number

Experimental methods of determining transference number

Factors Determining Number of Antifoam Entities in Foam Film

Membrane osmometry, determination number-average molecular

Membranes stages, determining number

Methods for determining the plate number in batch distillation arithmetically

Micellar aggregation numbers factors determining

Molecular mass, determination number average

Moving boundary, transport number determination

Number-average molecular weights determination

Number-averaged particle radius determination

Oxidation numbers, 222 determining

Quantum number determining

Repeated sequences copy number, determination

Replicate tests, determination appropriate number

Risk priority number , determination

Rules for the Determination of Oxidation Numbers

The Determination of Relative Symmetry Numbers for Isotopomers

The Hittorf method for determining transport numbers

The number of determinable parameters and graph colour

To determine number-average molecular

To determine number-average molecular weight

Transference numbers determination

Transport numbers determination

Trays determining number required

Using probability to determine sums and numbers

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