Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic method
- Autores
- Molina, Matías José; Mattos, J. V.; Rodriguez Reartes, Sabrina Belen; Cardozo Filho, Lucio; Zabaloy, Marcelo Santiago
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Often in the laboratory the set goal is to measure solid-fluid equilibria for systems made of CO2(1), a drug(3) and an organic solvent(2), at supercritical conditions, by using a variable volume equilibrium cell. Frequently, it is decided to proceed as follows: a known amount of a known-composition binary liquid solution of components 2 and 3 is fed into the cell, followed by feeding a known amount of the antisolvent CO2(1). In this way, the global composition becomes known. Then, at set temperature (T), by moving the cell piston, a high enough pressure (P) is found, at which the system is a homogeneous fluid (F). Next, P is lowered up to the appearance of an incipient solid (S) phase [fluid-solid (FS) equilibrium]. Sometimes, already at the maximum operating pressure of the apparatus, solid-fluid coexistence (no homogeneity) is found, and hence the lowering of the pressure leads to the detection of an incipient vapor (V) phase in the presence of a solid phase and of a fluid phase, each of finite size (solid-liquid-vapor (SLV) equilibrium). In this case, at the end of the experiment, the only known information to be recorded is: T, the global composition, and the pressure P of SLV equilibrium where the V phase is the only incipient one [1]. If an isothermal set of such experiments covers a range of global amount of CO2 (same liquid solution fed), then, the experimentalist essentially obtains a curve of SLV equilibrium pressure versus, e.g., global CO2 mole fraction, at set T and set global drug/solvent ratio. We recognize that the right type of computation corresponding to a point of such curve is a ternary solid-liquid-vapor flash at zero vapor-phase mole fraction and set temperature T (Duhem’s Theorem), being the predicted P just one of the outcomes of the calculation. Notice that none of the SLV phase compositions is experimentally known. The purpose of this work is to develop an efficient algorithm for computing curves as the previously described, each in a single computer run. This work precedes a, strictly speaking, modeling stage in which we would seek agreement between experimental data and model predictions. The algorithm is illustrated in this work for the system CO2(1)+ethanol(2)+acetaminophen(3) [1], where ethanol is the organic solvent. The system of equations of an SLV flash at set temperature is built by imposing: {1} the satisfaction of the fluid PVTx equation of state (EOS) for the L and V phases (translated Peng Robinson-EOS, with quadratic mixing rules, in this work), {2} the isofugacity condition for each of the 3 components in the L and V phases, {3} the isofugacity condition for component 3 among the V and S phases (the S phase is considered to be made of pure component 3, and the solid-state fugacity is computed according to [2]), {4} mass conservation condition in the heterogeneous system for each component, {5} summation of mole fractions equal to unity for the L and V phases, {6} specification equation that sets the value of T, and, {7} specification equation that sets the V phase mole fraction equal to zero. On the other hand, the system of equations that makes possible to compute the global mole fractions includes: {a} the constraint z_1+z_2+z_3=1, being z_i the global mole fraction of component i, and {b} the specification z_3⁄z_2 =const, which corresponds to the composition of the fed liquid solution. In this work we use the enlarged system of equations (ESEs) resulting from adding the two last equations to the SLv system of equations. The ESEs has a single degree of freedom that one would tend to spend by setting the value of one of the z_is. However, since we resort, for solving the ESEs, to a numerical continuation method (NCM), due to its efficiency, we leave the NCM algorithm to freely choose the variable to be specified, and to set its value, for each flash to be computed. The graphical abstract (GA) presents, as an illustration of the results that can be obtained, the computed SLV flash pressure, flash where the vapor phase is incipient, as a function of zCO2 (= global mole fraction of CO2). T is constant throughout the curve (T = 313.15 K), as it is the global drug/solvent ratio (= 1.1776 mol acetaminophen/kg ethanol). The computed solid phase mole fraction decreases as zCO2 decreases, tending to zero as the LSV point is approached. Such point is a double saturation point where a major L phase is simultaneously at equilibrium with two incipient phases: a pure-acetaminophen S phase and a V phase. No stability tests were performed for the computed equilibria. Such tests would identify the valid segments of the curve shown in the GA. After doing that, the phase diagram would be completed by the addition of other types of curves, such as the solid-fluid equilibrium curve of incipient S phase. The NCM was able to properly capture the steep part of the curve in the GA.
Fil: Molina, Matías José. Universidad Nacional del Sur. Departamento de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Mattos, J. V.. Universidade Estadual de Maringá. Departamento de Engenharia Química.; Brasil
Fil: Rodriguez Reartes, Sabrina Belen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Química; Argentina
Fil: Cardozo Filho, Lucio. Universidade Estadual de Maringá. Departamento de Engenharia Química.; Brasil
Fil: Zabaloy, Marcelo Santiago. Universidad Nacional del Sur. Departamento de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
VI Iberoamerican Conference on Supercritical Fluids
Argentina
Universidad Nacional de Córdoba
Universidad Nacional del Sur
Universidade de Coimbra
Universiad de Castilla La Mancha
Universidade Federal de Santa Catarina - Materia
-
SLV FLASH
CONTINUOUS SET
COMPUTATION
ALGORITHM
NUMERICAL CONTINUATION METHOD - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/263384
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Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic methodMolina, Matías JoséMattos, J. V.Rodriguez Reartes, Sabrina BelenCardozo Filho, LucioZabaloy, Marcelo SantiagoSLV FLASHCONTINUOUS SETCOMPUTATIONALGORITHMNUMERICAL CONTINUATION METHODhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Often in the laboratory the set goal is to measure solid-fluid equilibria for systems made of CO2(1), a drug(3) and an organic solvent(2), at supercritical conditions, by using a variable volume equilibrium cell. Frequently, it is decided to proceed as follows: a known amount of a known-composition binary liquid solution of components 2 and 3 is fed into the cell, followed by feeding a known amount of the antisolvent CO2(1). In this way, the global composition becomes known. Then, at set temperature (T), by moving the cell piston, a high enough pressure (P) is found, at which the system is a homogeneous fluid (F). Next, P is lowered up to the appearance of an incipient solid (S) phase [fluid-solid (FS) equilibrium]. Sometimes, already at the maximum operating pressure of the apparatus, solid-fluid coexistence (no homogeneity) is found, and hence the lowering of the pressure leads to the detection of an incipient vapor (V) phase in the presence of a solid phase and of a fluid phase, each of finite size (solid-liquid-vapor (SLV) equilibrium). In this case, at the end of the experiment, the only known information to be recorded is: T, the global composition, and the pressure P of SLV equilibrium where the V phase is the only incipient one [1]. If an isothermal set of such experiments covers a range of global amount of CO2 (same liquid solution fed), then, the experimentalist essentially obtains a curve of SLV equilibrium pressure versus, e.g., global CO2 mole fraction, at set T and set global drug/solvent ratio. We recognize that the right type of computation corresponding to a point of such curve is a ternary solid-liquid-vapor flash at zero vapor-phase mole fraction and set temperature T (Duhem’s Theorem), being the predicted P just one of the outcomes of the calculation. Notice that none of the SLV phase compositions is experimentally known. The purpose of this work is to develop an efficient algorithm for computing curves as the previously described, each in a single computer run. This work precedes a, strictly speaking, modeling stage in which we would seek agreement between experimental data and model predictions. The algorithm is illustrated in this work for the system CO2(1)+ethanol(2)+acetaminophen(3) [1], where ethanol is the organic solvent. The system of equations of an SLV flash at set temperature is built by imposing: {1} the satisfaction of the fluid PVTx equation of state (EOS) for the L and V phases (translated Peng Robinson-EOS, with quadratic mixing rules, in this work), {2} the isofugacity condition for each of the 3 components in the L and V phases, {3} the isofugacity condition for component 3 among the V and S phases (the S phase is considered to be made of pure component 3, and the solid-state fugacity is computed according to [2]), {4} mass conservation condition in the heterogeneous system for each component, {5} summation of mole fractions equal to unity for the L and V phases, {6} specification equation that sets the value of T, and, {7} specification equation that sets the V phase mole fraction equal to zero. On the other hand, the system of equations that makes possible to compute the global mole fractions includes: {a} the constraint z_1+z_2+z_3=1, being z_i the global mole fraction of component i, and {b} the specification z_3⁄z_2 =const, which corresponds to the composition of the fed liquid solution. In this work we use the enlarged system of equations (ESEs) resulting from adding the two last equations to the SLv system of equations. The ESEs has a single degree of freedom that one would tend to spend by setting the value of one of the z_is. However, since we resort, for solving the ESEs, to a numerical continuation method (NCM), due to its efficiency, we leave the NCM algorithm to freely choose the variable to be specified, and to set its value, for each flash to be computed. The graphical abstract (GA) presents, as an illustration of the results that can be obtained, the computed SLV flash pressure, flash where the vapor phase is incipient, as a function of zCO2 (= global mole fraction of CO2). T is constant throughout the curve (T = 313.15 K), as it is the global drug/solvent ratio (= 1.1776 mol acetaminophen/kg ethanol). The computed solid phase mole fraction decreases as zCO2 decreases, tending to zero as the LSV point is approached. Such point is a double saturation point where a major L phase is simultaneously at equilibrium with two incipient phases: a pure-acetaminophen S phase and a V phase. No stability tests were performed for the computed equilibria. Such tests would identify the valid segments of the curve shown in the GA. After doing that, the phase diagram would be completed by the addition of other types of curves, such as the solid-fluid equilibrium curve of incipient S phase. The NCM was able to properly capture the steep part of the curve in the GA.Fil: Molina, Matías José. Universidad Nacional del Sur. Departamento de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Mattos, J. V.. Universidade Estadual de Maringá. Departamento de Engenharia Química.; BrasilFil: Rodriguez Reartes, Sabrina Belen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Química; ArgentinaFil: Cardozo Filho, Lucio. Universidade Estadual de Maringá. Departamento de Engenharia Química.; BrasilFil: Zabaloy, Marcelo Santiago. Universidad Nacional del Sur. Departamento de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaVI Iberoamerican Conference on Supercritical FluidsArgentinaUniversidad Nacional de CórdobaUniversidad Nacional del SurUniversidade de CoimbraUniversiad de Castilla La ManchaUniversidade Federal de Santa CatarinaUniversidad Nacional de Córdoba2023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/263384Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic method; VI Iberoamerican Conference on Supercritical Fluids; Argentina; 2023; 1-2CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://prosciba2023.congresos.unc.edu.ar/Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:54:04Zoai:ri.conicet.gov.ar:11336/263384instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:54:04.424CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic method |
title |
Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic method |
spellingShingle |
Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic method Molina, Matías José SLV FLASH CONTINUOUS SET COMPUTATION ALGORITHM NUMERICAL CONTINUATION METHOD |
title_short |
Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic method |
title_full |
Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic method |
title_fullStr |
Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic method |
title_full_unstemmed |
Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic method |
title_sort |
Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic method |
dc.creator.none.fl_str_mv |
Molina, Matías José Mattos, J. V. Rodriguez Reartes, Sabrina Belen Cardozo Filho, Lucio Zabaloy, Marcelo Santiago |
author |
Molina, Matías José |
author_facet |
Molina, Matías José Mattos, J. V. Rodriguez Reartes, Sabrina Belen Cardozo Filho, Lucio Zabaloy, Marcelo Santiago |
author_role |
author |
author2 |
Mattos, J. V. Rodriguez Reartes, Sabrina Belen Cardozo Filho, Lucio Zabaloy, Marcelo Santiago |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
SLV FLASH CONTINUOUS SET COMPUTATION ALGORITHM NUMERICAL CONTINUATION METHOD |
topic |
SLV FLASH CONTINUOUS SET COMPUTATION ALGORITHM NUMERICAL CONTINUATION METHOD |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
Often in the laboratory the set goal is to measure solid-fluid equilibria for systems made of CO2(1), a drug(3) and an organic solvent(2), at supercritical conditions, by using a variable volume equilibrium cell. Frequently, it is decided to proceed as follows: a known amount of a known-composition binary liquid solution of components 2 and 3 is fed into the cell, followed by feeding a known amount of the antisolvent CO2(1). In this way, the global composition becomes known. Then, at set temperature (T), by moving the cell piston, a high enough pressure (P) is found, at which the system is a homogeneous fluid (F). Next, P is lowered up to the appearance of an incipient solid (S) phase [fluid-solid (FS) equilibrium]. Sometimes, already at the maximum operating pressure of the apparatus, solid-fluid coexistence (no homogeneity) is found, and hence the lowering of the pressure leads to the detection of an incipient vapor (V) phase in the presence of a solid phase and of a fluid phase, each of finite size (solid-liquid-vapor (SLV) equilibrium). In this case, at the end of the experiment, the only known information to be recorded is: T, the global composition, and the pressure P of SLV equilibrium where the V phase is the only incipient one [1]. If an isothermal set of such experiments covers a range of global amount of CO2 (same liquid solution fed), then, the experimentalist essentially obtains a curve of SLV equilibrium pressure versus, e.g., global CO2 mole fraction, at set T and set global drug/solvent ratio. We recognize that the right type of computation corresponding to a point of such curve is a ternary solid-liquid-vapor flash at zero vapor-phase mole fraction and set temperature T (Duhem’s Theorem), being the predicted P just one of the outcomes of the calculation. Notice that none of the SLV phase compositions is experimentally known. The purpose of this work is to develop an efficient algorithm for computing curves as the previously described, each in a single computer run. This work precedes a, strictly speaking, modeling stage in which we would seek agreement between experimental data and model predictions. The algorithm is illustrated in this work for the system CO2(1)+ethanol(2)+acetaminophen(3) [1], where ethanol is the organic solvent. The system of equations of an SLV flash at set temperature is built by imposing: {1} the satisfaction of the fluid PVTx equation of state (EOS) for the L and V phases (translated Peng Robinson-EOS, with quadratic mixing rules, in this work), {2} the isofugacity condition for each of the 3 components in the L and V phases, {3} the isofugacity condition for component 3 among the V and S phases (the S phase is considered to be made of pure component 3, and the solid-state fugacity is computed according to [2]), {4} mass conservation condition in the heterogeneous system for each component, {5} summation of mole fractions equal to unity for the L and V phases, {6} specification equation that sets the value of T, and, {7} specification equation that sets the V phase mole fraction equal to zero. On the other hand, the system of equations that makes possible to compute the global mole fractions includes: {a} the constraint z_1+z_2+z_3=1, being z_i the global mole fraction of component i, and {b} the specification z_3⁄z_2 =const, which corresponds to the composition of the fed liquid solution. In this work we use the enlarged system of equations (ESEs) resulting from adding the two last equations to the SLv system of equations. The ESEs has a single degree of freedom that one would tend to spend by setting the value of one of the z_is. However, since we resort, for solving the ESEs, to a numerical continuation method (NCM), due to its efficiency, we leave the NCM algorithm to freely choose the variable to be specified, and to set its value, for each flash to be computed. The graphical abstract (GA) presents, as an illustration of the results that can be obtained, the computed SLV flash pressure, flash where the vapor phase is incipient, as a function of zCO2 (= global mole fraction of CO2). T is constant throughout the curve (T = 313.15 K), as it is the global drug/solvent ratio (= 1.1776 mol acetaminophen/kg ethanol). The computed solid phase mole fraction decreases as zCO2 decreases, tending to zero as the LSV point is approached. Such point is a double saturation point where a major L phase is simultaneously at equilibrium with two incipient phases: a pure-acetaminophen S phase and a V phase. No stability tests were performed for the computed equilibria. Such tests would identify the valid segments of the curve shown in the GA. After doing that, the phase diagram would be completed by the addition of other types of curves, such as the solid-fluid equilibrium curve of incipient S phase. The NCM was able to properly capture the steep part of the curve in the GA. Fil: Molina, Matías José. Universidad Nacional del Sur. Departamento de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina Fil: Mattos, J. V.. Universidade Estadual de Maringá. Departamento de Engenharia Química.; Brasil Fil: Rodriguez Reartes, Sabrina Belen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Química; Argentina Fil: Cardozo Filho, Lucio. Universidade Estadual de Maringá. Departamento de Engenharia Química.; Brasil Fil: Zabaloy, Marcelo Santiago. Universidad Nacional del Sur. Departamento de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina VI Iberoamerican Conference on Supercritical Fluids Argentina Universidad Nacional de Córdoba Universidad Nacional del Sur Universidade de Coimbra Universiad de Castilla La Mancha Universidade Federal de Santa Catarina |
description |
Often in the laboratory the set goal is to measure solid-fluid equilibria for systems made of CO2(1), a drug(3) and an organic solvent(2), at supercritical conditions, by using a variable volume equilibrium cell. Frequently, it is decided to proceed as follows: a known amount of a known-composition binary liquid solution of components 2 and 3 is fed into the cell, followed by feeding a known amount of the antisolvent CO2(1). In this way, the global composition becomes known. Then, at set temperature (T), by moving the cell piston, a high enough pressure (P) is found, at which the system is a homogeneous fluid (F). Next, P is lowered up to the appearance of an incipient solid (S) phase [fluid-solid (FS) equilibrium]. Sometimes, already at the maximum operating pressure of the apparatus, solid-fluid coexistence (no homogeneity) is found, and hence the lowering of the pressure leads to the detection of an incipient vapor (V) phase in the presence of a solid phase and of a fluid phase, each of finite size (solid-liquid-vapor (SLV) equilibrium). In this case, at the end of the experiment, the only known information to be recorded is: T, the global composition, and the pressure P of SLV equilibrium where the V phase is the only incipient one [1]. If an isothermal set of such experiments covers a range of global amount of CO2 (same liquid solution fed), then, the experimentalist essentially obtains a curve of SLV equilibrium pressure versus, e.g., global CO2 mole fraction, at set T and set global drug/solvent ratio. We recognize that the right type of computation corresponding to a point of such curve is a ternary solid-liquid-vapor flash at zero vapor-phase mole fraction and set temperature T (Duhem’s Theorem), being the predicted P just one of the outcomes of the calculation. Notice that none of the SLV phase compositions is experimentally known. The purpose of this work is to develop an efficient algorithm for computing curves as the previously described, each in a single computer run. This work precedes a, strictly speaking, modeling stage in which we would seek agreement between experimental data and model predictions. The algorithm is illustrated in this work for the system CO2(1)+ethanol(2)+acetaminophen(3) [1], where ethanol is the organic solvent. The system of equations of an SLV flash at set temperature is built by imposing: {1} the satisfaction of the fluid PVTx equation of state (EOS) for the L and V phases (translated Peng Robinson-EOS, with quadratic mixing rules, in this work), {2} the isofugacity condition for each of the 3 components in the L and V phases, {3} the isofugacity condition for component 3 among the V and S phases (the S phase is considered to be made of pure component 3, and the solid-state fugacity is computed according to [2]), {4} mass conservation condition in the heterogeneous system for each component, {5} summation of mole fractions equal to unity for the L and V phases, {6} specification equation that sets the value of T, and, {7} specification equation that sets the V phase mole fraction equal to zero. On the other hand, the system of equations that makes possible to compute the global mole fractions includes: {a} the constraint z_1+z_2+z_3=1, being z_i the global mole fraction of component i, and {b} the specification z_3⁄z_2 =const, which corresponds to the composition of the fed liquid solution. In this work we use the enlarged system of equations (ESEs) resulting from adding the two last equations to the SLv system of equations. The ESEs has a single degree of freedom that one would tend to spend by setting the value of one of the z_is. However, since we resort, for solving the ESEs, to a numerical continuation method (NCM), due to its efficiency, we leave the NCM algorithm to freely choose the variable to be specified, and to set its value, for each flash to be computed. The graphical abstract (GA) presents, as an illustration of the results that can be obtained, the computed SLV flash pressure, flash where the vapor phase is incipient, as a function of zCO2 (= global mole fraction of CO2). T is constant throughout the curve (T = 313.15 K), as it is the global drug/solvent ratio (= 1.1776 mol acetaminophen/kg ethanol). The computed solid phase mole fraction decreases as zCO2 decreases, tending to zero as the LSV point is approached. Such point is a double saturation point where a major L phase is simultaneously at equilibrium with two incipient phases: a pure-acetaminophen S phase and a V phase. No stability tests were performed for the computed equilibria. Such tests would identify the valid segments of the curve shown in the GA. After doing that, the phase diagram would be completed by the addition of other types of curves, such as the solid-fluid equilibrium curve of incipient S phase. The NCM was able to properly capture the steep part of the curve in the GA. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject Conferencia Book http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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publishedVersion |
format |
conferenceObject |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/263384 Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic method; VI Iberoamerican Conference on Supercritical Fluids; Argentina; 2023; 1-2 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/263384 |
identifier_str_mv |
Efficient flash computation of continuous sets of solid-liquid-vapor equilibria directly related to laboratory data obtained through the synthetic method; VI Iberoamerican Conference on Supercritical Fluids; Argentina; 2023; 1-2 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/altIdentifier/url/https://prosciba2023.congresos.unc.edu.ar/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/pdf application/pdf application/pdf application/pdf |
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Internacional |
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Universidad Nacional de Córdoba |
publisher.none.fl_str_mv |
Universidad Nacional de Córdoba |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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