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Bubble point
Bubble point
from Wikipedia
Mole fraction vs. temperature diagram for a two-component system, showing the bubble point and dew point curves.

In thermodynamics, the bubble point is the temperature (at a given pressure) where the first bubble of vapor is formed when heating a liquid consisting of two or more components.[1][2] Given that vapor will probably have a different composition than the liquid, the bubble point (along with the dew point) at different compositions are useful data when designing distillation systems.[3]

For a single component the bubble point and the dew point are the same and are referred to as the boiling point.

Calculating the bubble point

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At the bubble point, the following relationship holds:


where

.

K is the distribution coefficient or K factor, defined as the ratio of mole fraction in the vapor phase to the mole fraction in the liquid phase at equilibrium.
When Raoult's law and Dalton's law hold for the mixture, the K factor is defined as the ratio of the vapor pressure to the total pressure of the system:[1]

Given either of or and either the temperature or pressure of a two-component system, calculations can be performed to determine the unknown information.[4]

See also

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
In , the bubble point is the at a given at which the first bubble of vapor forms when heating a , marking the onset of in a that is initially entirely . This condition represents equilibrium between the phase and an infinitesimal amount of vapor, and for pure components, it coincides with the . For ideal multi-component mixtures, according to , the bubble point is the where the total equals the sum of the partial vapor pressures of the components in the phase, expressed as P=xiPisatP = \sum x_i P_i^{\text{sat}}, with xix_i denoting the and PisatP_i^{\text{sat}} the saturation of component ii. In vapor-liquid equilibrium (VLE) phase diagrams, the bubble point curve outlines the boundary separating the all- region from the two-phase liquid-vapor region, contrasting with the curve, which marks the onset of formation from vapor. This curve is essential for analyzing phase behavior in binary or multi-component s under varying and . The concept is fundamental in processes such as , where bubble point data inform the design of separation columns, including the number of stages and ratios—for instance, in of isopropanol-water mixtures using entrainers like methyl butyl . In , the bubble point pressure defines the threshold below which dissolved gases begin to evolve from fluids, influencing production strategies, gas cap formation, and storage requirements to avoid premature . Accurate determination of bubble points, often via equations of state or experimental measurements, ensures safe and efficient handling of hydrocarbons and refrigerants in industrial applications.

Definition and Concepts

Bubble Point Temperature

The bubble point of a is defined as the at which the first bubble of vapor forms upon heating the at constant pressure, marking the initiation of the process for the multicomponent system. This condition represents the point where the phase is in equilibrium with an infinitesimal amount of vapor, with the overall composition matching that of the . At the bubble point temperature, the total vapor pressure exerted by the components in the mixture equals the prevailing system pressure, allowing the formation of the initial vapor bubble while the bulk remains . This equilibrium arises from the summation of partial pressures according to principles such as for ideal solutions, where the vapor composition differs from the due to preferential of more volatile components. For instance, in a binary mixture like -water at 1 atm, the bubble point temperature occurs around 78.2°C for pure ethanol but shifts higher with increasing water content, reflecting the interplay of component volatilities. In the case of a pure substance, the bubble point is the at the given , as there is no compositional variation to influence . For mixtures, however, this is generally lower than the of the least volatile component, as the presence of more volatile species accelerates the onset of . Several factors govern the bubble point : the mixture's composition, where increasing the of volatile components decreases the ; the , which exhibits a direct relationship such that higher pressures elevate the required to achieve equilibrium; and the relative volatilities of the components, which widen the temperature range over which boiling progresses in non-ideal mixtures. These elements are fundamentally tied to vapor-liquid equilibrium conditions.

Bubble Point Pressure

The bubble point pressure is defined as the pressure at which the first bubble of vapor forms from a upon reduction of the system at constant temperature, marking the onset of vapor- equilibrium for the . This serves as the saturation , below which the becomes unstable and begins, transitioning the system from a single phase to a two-phase . At the bubble point , the physical process involves the equality between the total system and the sum of the partial pressures exerted by each component in the liquid phase, based on their s and individual s at the given temperature. For ideal mixtures, this follows from , where each partial is the product of the liquid and the pure component's saturation , leading to the initiation of infinitesimal vapor formation without significant composition change in the bulk liquid. This equilibrium condition ties into broader phase behavior principles, where the bubble point delineates the boundary of liquid stability under isothermal compression or decompression. In practical contexts, such as underground reservoirs, the bubble point indicates the threshold below which dissolved gas evolves from the crude , potentially reducing oil mobility and affecting production rates; typical values for conventional reservoir s range from 1800 to 2600 psi. For pure substances, the bubble point coincides exactly with the at that , as there are no compositional effects to consider. Several factors influence the bubble point pressure, including , which generally increases the pressure due to higher volatility of components; mixture composition, where higher concentrations of lighter, more volatile species elevate the pressure; and intermolecular interactions, which alter activity coefficients and thus deviate from ideal behavior, impacting overall volatility. These influences are captured in empirical correlations like that of Standing (1947), which relates bubble point pressure to solution gas-oil ratio, gas specific gravity, temperature, and oil .

Thermodynamic Principles

Vapor-Liquid Equilibrium

Vapor-liquid equilibrium (VLE) represents the state in a where the and vapor phases coexist with unchanging compositions over time, achieved when the rate of from the phase equals the rate of from the vapor phase. This dynamic balance ensures that the partial pressures of components in the vapor phase remain constant, reflecting equal molecular exchange between phases./11%3A_Liquids_Solids_and_Intermolecular_Forces/11.05%3A_Vaporization_and_Vapor_Pressure) The Gibbs governs the constraints on such equilibria, stating that the FF in a is given by F=CP+2F = C - P + 2, where CC is the number of components and PP is the number of phases. For a (C=2C = 2) at VLE (P=2P = 2), F=2F = 2, allowing specification of two intensive variables, such as and liquid composition, to uniquely determine the remaining properties like and vapor composition. At the bubble point condition within this framework—where the first infinitesimal vapor bubble forms in equilibrium with the bulk —fixing the and liquid composition (one variable for a binary mixture) determines the equilibrium , effectively reducing the independent variables to align with the univariant nature of the saturation curve for that composition. At VLE, the fundamental criterion for equilibrium is the equality of chemical potentials for each component across phases, which translates to the equality of fugacities: fiL=fiVf_i^L = f_i^V for component ii, where fiLf_i^L is the fugacity in the liquid phase and fiVf_i^V in the vapor phase. Fugacity, analogous to pressure for ideal gases but accounting for non-ideal behavior, ensures that the escaping tendency of each component is identical in both phases, maintaining compositional stability. This condition underpins the thermodynamic consistency of VLE and directly defines the bubble point as the pressure or temperature where this equality holds for the incipient vapor phase matching the overall system pressure./06%3A_Fugacity) While many VLE analyses assume ideal gas behavior for the vapor phase to simplify calculations—treating as —these assumptions falter at high pressures, low temperatures, or near critical points, where intermolecular forces and finite molecular volumes cause significant deviations. In such cases, corrections via equations of state are essential to accurately compute fugacities and predict equilibrium states. Historically, the concept of VLE for ideal mixtures was formalized by , proposed by François-Marie Raoult in , which posits that the partial vapor pressure of each component in an is proportional to its in the liquid phase. This early model laid the groundwork for understanding ideal VLE behavior and remains a cornerstone for introductory analyses, though extensions for non-ideal systems followed later.

Role in Phase Behavior

In temperature-composition (T-x-y) phase diagrams at constant pressure, the bubble point curve represents the locus of temperatures at which the first infinitesimal bubble of vapor forms from a of varying compositions, marking the boundary between the single-phase liquid region and the two-phase liquid-vapor region. This curve, often nonlinear for nonideal mixtures, illustrates how the decreases or increases with composition depending on the relative volatilities of the components, providing a visual tool for understanding the onset of in isothermal or isobaric processes. For binary systems, the curve forms the lower boundary of the two-phase envelope in T-x-y diagrams, separating the subcooled liquid region from the coexistence area where partial occurs, and it connects the points of the pure components. In contrast, multicomponent systems are typically represented in pressure-temperature (P-T) space, where the appears as a line tracing the conditions under which the first vapor bubble emerges from the liquid phase, influenced by the overall composition and forming part of the phase envelope that encloses the two-phase region. Unlike binary systems, which show distinct and bubble curves meeting at the critical point, multicomponent behavior extends this to broader envelopes with cricondentherm and cricondenbar points, but the bubble line still delineates the liquid region's limit. The presence of azeotropes significantly alters the shape of the bubble point curve due to strong nonideal interactions between components. In systems forming minimum azeotropes, such as ethanol-water, the curve exhibits a minimum point where the liquid and vapor compositions coincide, causing the bubble and curves to touch and deviate from ideal linearity, which complicates separation processes. For maximum azeotropes, like nitric acid-water, the curve instead shows a maximum extremum, resulting in a peaked shape that reverses the typical volatility trend and leads to the azeotrope having a higher than either pure component. At the bubble point, the initiates , where heating a beyond this produces an initial vapor phase enriched in the more volatile components, while the remaining liquid becomes depleted in those components, driving compositional changes across the two-phase region. This selective underpins and other separation techniques, as the vapor's composition shifts progressively toward the lighter end-member with continued heating until the is reached. Experimental determination of bubble points relies on techniques like ebulliometry, which measures the equilibrium at which vapor bubbles first appear in a under controlled . In a typical setup, an inclined ebulliometer with a stirrer maintains quasi-static conditions, allowing precise readings for binary or multicomponent mixtures as begins, often validated against models like for ideal cases. This method ensures accurate data for phase diagrams by minimizing and providing reproducible results across composition ranges.

Calculation Methods

For Ideal Mixtures

For ideal mixtures, the bubble point is determined under the assumption that the components obey , which states that the partial pressure of each component pip_i in the vapor phase is equal to the product of its liquid mole fraction xix_i and the saturation vapor pressure of the pure component PisatP_i^{\text{sat}}, or pi=xiPisatp_i = x_i P_i^{\text{sat}}. This ideal behavior assumes no interactions between unlike molecules beyond simple averaging, leading to linear vapor pressure-composition relationships. The fundamental equation for the bubble point condition is the equality of the total pressure to the sum of partial pressures: Ptotal=ixiPisat(T)P_{\text{total}} = \sum_i x_i P_i^{\text{sat}}(T) This equation is solved iteratively for the temperature TT when PtotalP_{\text{total}} and the xix_i are specified, as PisatP_i^{\text{sat}} depends on temperature. The saturation vapor pressures PisatP_i^{\text{sat}} are typically calculated using the Antoine equation: log10Psat=ABT+C\log_{10} P^{\text{sat}} = A - \frac{B}{T + C} where PsatP^{\text{sat}} is in bar, TT is in K, and AA, BB, CC are empirical constants specific to each component, valid over defined temperature ranges (e.g., for benzene from 287.7 to 354.1 K with A=4.01814A = 4.01814, B=1203.835B = 1203.835, C=53.226C = -53.226; for toluene from 308.5 to 384.7 K with A=4.07827A = 4.07827, B=1343.943B = 1343.943, C=53.773C = -53.773). The iterative procedure to find the bubble point temperature proceeds as follows:
  1. Select an initial guess for TT, often between the boiling points of the pure components.
  2. Compute Pisat(T)P_i^{\text{sat}}(T) for each component using the Antoine equation.
  3. Calculate the sum ixiPisat(T)\sum_i x_i P_i^{\text{sat}}(T) and compare it to PtotalP_{\text{total}}.
  4. Adjust TT (increase if the sum is less than PtotalP_{\text{total}}, decrease otherwise) and repeat until convergence within a specified tolerance, such as 0.1 K.
As a representative example, consider an equimolar mixture of and (xbenzene=xtoluene=0.5x_{\text{benzene}} = x_{\text{toluene}} = 0.5) at 1 atm (760 mmHg). Using Antoine constants adjusted for mmHg units (benzene: A=6.893A = 6.893, B=1203.93B = 1203.93, C=219.9C = 219.9; toluene: A=6.958A = 6.958, B=1347.0B = 1347.0, C=219.7C = 219.7) and iterating from an initial T=90T = 90^\circC, the bubble point converges to approximately 92°C, where the summed partial pressures equal 760 mmHg. This approach is limited to mixtures where components have similar molecular sizes, shapes, and polarities—such as non-polar hydrocarbons—and applies reliably at low to moderate pressures where deviations from ideality are minimal./Equilibria/Physical_Equilibria/Raoults_Law_and_Ideal_Mixtures_of_Liquids)

For Non-Ideal Mixtures

In real mixtures, deviations from ideal behavior arise due to molecular interactions such as hydrogen bonding or polar effects, which cause the of components in the liquid phase to differ from that predicted by . These non-idealities are accounted for by introducing activity coefficients γi\gamma_i for each component ii, which correct the partial pressure in the modified : yiP=xiγiPi\sat(T)y_i P = x_i \gamma_i P_i^{\sat}(T). For bubble point calculations in non-ideal mixtures at a specified total PP, the TT is determined iteratively by solving the equation ixiγi(T,x)Pi\sat(T)=P,\sum_i x_i \gamma_i(T, \mathbf{x}) P_i^{\sat}(T) = P, where xix_i are the known liquid mole fractions, Pi\sat(T)P_i^{\sat}(T) is the saturation vapor of pure component ii at TT, and γi\gamma_i depends on both TT and composition x\mathbf{x}. This requires successive approximations because γi\gamma_i and Pi\satP_i^{\sat} are functions of TT, often starting from an ideal estimate and refining until convergence. Activity coefficients are modeled using thermodynamic expressions fitted to experimental vapor-liquid equilibrium (VLE) data. The Wilson equation, developed in , is one such local composition model given by lnγi=ln(xi+jixjΛij)+kxkln(Λikxi+jxjΛjk)+1jxjΛjixj+kxkΛkj,\ln \gamma_i = -\ln \left( x_i + \sum_{j \neq i} x_j \Lambda_{ij} \right) + \sum_k x_k \ln \left( \frac{\Lambda_{ik}}{x_i + \sum_j x_j \Lambda_{jk}} \right) + 1 - \sum_j \frac{x_j \Lambda_{ji}}{x_j + \sum_k x_k \Lambda_{kj}},
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