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Diffusing Vapors

Consequences While this may still appear reasonable, lower accepted impurity limits AIL quickly demand either very high m or then target levels TL below the LOQ, as is demonstrated in Fig. 4.7. If several impurities are involved, each with its own TL and AIL, the risk of at least one exceeding its AIL rapidly increases (joint probabilities, see Section 4.24). For k impurities, the risk is [1 - (1 - 0.05) ], that is for k = 13, every other batch would fail  [Pg.199]

Actually, it would be reasonable for the authorities to replace by 0.1% the individual limit concept for all impurities lower than about 0.1% in the accepted sample, provided that toxicity is not an issue, because otherwise undue effort would have to be directed at the smallest impurities. Various modifications, such as less stringent confidence limits, optimistic estimates (line (A) in Fig. 4.6), etc. somewhat alleviate the situation the plant manager is in, but do not change the basic facts. [Pg.199]

The effect of such well-intentioned regulations might be counterproductive Industry could either be forced to withdraw products from the market despite their scientific merits because compliance is impossible, or they might dishonestly propose analytical methods that sweep all but a scapegoat impurity below the carpet. [Pg.199]

Situation Two different strengths of plastic foil are in evaluation for the packaging of a moisture-sensitive product. Information concerning the diffusion of water vapor through such foils is only sparsely available for realistic conditions. To remedy this lack of knowledge, samples of the product are sealed into pouches of either foil type and are subjected to the following tests  [Pg.199]

Normal storage (results expected after some months to years) [Pg.200]


The term e/(e — 1), which appears in equations 1 and 2, was first developed to account for the sensible heat transferred by the diffusing vapor (1). The quantity S represents the group ratio of total transported energy to convective heat transfer. Thus it may be thought of as the fractional... [Pg.95]

CA] = concentration of diffusing vapor that is in equilibrium with the partial pressure of the diffusing vapor in the gas body, lb-mole/ft3 x",y" = the mole fractions corresponding to [CA]" and p, respectively. Kg,KL = overall mass transfer coefficients for the gas and liquid phases, respectively... [Pg.50]

Diffusion of Heat. In dynamic equilibrium, a transfer of vapor from liquid through a vapor phase to a second liquid (the two liquids being thermally connected only across the thin gap) will require reverse transfer of the heat of vaporization. This will accompany a temperature difference determined by the ratio of heat flow to the thermal conductance of the two heat paths. These two are the diffusion vapor gap and the series of salt water and plastic films. For the diffusion gap the c.g.s. air value 5.7 x 1(H is chosen for the thermal conductivity (neglecting the separating powder), while for the series polyethylene (50 X 10-4 cm. thick), wet cellophane (50 X 10"4 cm. thick), and water (200 X 10-4 cm. thick) the respective thermal conductivities are 3.5 X 10"4, 4 X 10-4, and 14 X 10 4. [Pg.198]

Table 1 gives the components present in the crude DDSO and their properties critical pressure (Pc), critical temperature (Tc), critical volume (Vc) and acentric factor (co). These properties were obtained from hypothetical components (a tool of the commercial simulator HYSYS) that are created through the UNIFAC group contribution. The developed DISMOL simulator requires these properties (mean free path enthalpy of vaporization mass diffusivity vapor pressure liquid density heat capacity thermal conductivity viscosity and equipment, process, and system characteristics that are simulation inputs) in calculating other properties of the system, such as evaporation rate, temperature and concentration profiles, residence time, stream compositions, and flow rates (output from the simulation). Furthermore, film thickness and liquid velocity profile on the evaporator are also calculated. [Pg.692]

The Stefan tube, depicted schematically in Figure 2.4, is a simple device sometimes used for measuring diffusion coefficients in binary vapor mixtures. In the bottom of the tube is a pool of quiescent liquid. The vapor that evaporates from this pool diffuses to the top of the tube. A stream of gas across the top of the tube keeps the mole fraction of diffusing vapor there to essentially nothing. The mole fraction of the vapor at the vapor-liquid interface is its equilibrium value. [Pg.21]

One-Dimensional Analytical Model With Diffusive Vapor Loss At Upper Boundary. This model was developed by Jury et al. (16) to provide a computational method for classifying organic chemicals for their relative susceptibility to different loss pathways (volatilization, leaching and degradation). Although the basic equation is essentially the same as Equation 2, in contrast to Equation 2 it includes transport in both the vapor and liquid phases. An effective diffusion coefficient, Dg, is defined such that it includes both the vapor component, KjjPq, and liquid component, Dl, in the following manner ... [Pg.369]

Permeability constant is based on Pick s law of diffusion, which states that the amount of vapor which diffuses through a membrane is proportional to the area of the membrane, the pressure gradient of the diffusing vapor, and time. It is inversely proportional to the thickness of the membrane. Mathematically it is expressed as W = k(APT/L), where A is the area of the membrane in square centimeters, P is the pressure differential of the vapor in mm Hg, T is the time of diffusion in hours, W is the weight of gas diffused in grams, L is the thickness of the membrane in centimeters, and k is the permeability constant. Thus, the units of k are g - cm/cm - mm Hg - h. [Pg.1237]

The term e/(ee — 1), which appears in equations 1 and 2, was first developed to account for the sensible heat transferred by the diffusing vapor (1). The quantity 8 represents the group M4-C 4 / hg, the ratio of total transported energy to convective heat transfer. Thus it may be thought of as the fractional influence of mass transfer on the heat-transfer process. The last term of equation 3 is the latent heat contributed to the gas phase by the fog formation. The vapor loss from the gas phase through both surface and gas-phase condensation can be related to the partial pressure of the condensing vapor by using Dalton s law and a differential material balance. [Pg.95]

The Stefan tube, depicted schematically in Figure 1.8, is a simple device sometimes used for measuring diffusion coefficients in binary vapor mixtures. In the bottom of the tube is a pool of quiescent liquid. The vapor that evaporates from this pool diffuses to the top of the tube. A stream of gas across the top of the tube keeps the mole fraction of the diffusing vapors there to essentially zero. The compositon of the vapor at the vapor-liquid interface is its equilibrium value. Carty and Schrodt (1975) evaporated a binary liquid mixture of acetone (1) and methanol (2) in a Stefan tube. Air (3) was used as the carrier gas. In one of their experiments the composition of the vapor at the liquid interface was yx - 0.319, y2 - 0.528, and y3 = 0.153. The pressure and temperature in the gas phase were 99.4 kPa and 328.5 K, respectively. The length of the diffusion path was 0.24 m. The MS diffusion coefficients of the three binary pairs are ... [Pg.45]


See other pages where Diffusing Vapors is mentioned: [Pg.411]    [Pg.95]    [Pg.1191]    [Pg.1441]    [Pg.199]    [Pg.199]    [Pg.201]    [Pg.937]    [Pg.339]    [Pg.56]    [Pg.41]    [Pg.50]    [Pg.76]    [Pg.126]    [Pg.47]    [Pg.411]    [Pg.1014]    [Pg.1264]    [Pg.95]    [Pg.199]    [Pg.199]    [Pg.201]    [Pg.80]    [Pg.1629]    [Pg.1679]    [Pg.22]    [Pg.411]    [Pg.95]    [Pg.542]    [Pg.1625]    [Pg.1675]    [Pg.601]    [Pg.1195]    [Pg.1445]    [Pg.560]    [Pg.334]   


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