2005
DOI: 10.1002/aic.10581
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Prediction of global VLE for mixtures with improved renormalization group theory

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Cited by 23 publications
(24 citation statements)
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References 85 publications
(90 reference statements)
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“…In eqs –, ρ̅ i ( r ) is the weighted density and can be written as normalρ̅ i ( r ) = j = 1 2 normalρ j ( r ) normalω i j normalatt ( false| boldr boldr false| ) .25em normald boldr where ω ij att ( r ) is the weight function normalω i j att ( r ) = c i j att ( r ) c i j att false( r false) .25em normald boldr Here C ij att ( r ) is the direct correlation function (DCF) of the equilibrium interfacial density, i.e., (ρ l + ρ v )/2, from attractive contribution . In eqs –, k 1, ij , k 2, ij , z 1, ij , z 2, ij are constants related to the LJ potential parameters, R i = 2Σ j x j d ij – Σ i Σ i x i x j d ij , g 0, ij ( R ij ) and g 1, ij ( R ij ) are the radial distribution functions (RDFs) of hard-sphere and first-order perturbation terms at contact, and G 0, ij ( z ij )and G 1, ij ( z ij ) are the corresponding Laplace transforms …”
Section: Theorymentioning
confidence: 99%
“…In eqs –, ρ̅ i ( r ) is the weighted density and can be written as normalρ̅ i ( r ) = j = 1 2 normalρ j ( r ) normalω i j normalatt ( false| boldr boldr false| ) .25em normald boldr where ω ij att ( r ) is the weight function normalω i j att ( r ) = c i j att ( r ) c i j att false( r false) .25em normald boldr Here C ij att ( r ) is the direct correlation function (DCF) of the equilibrium interfacial density, i.e., (ρ l + ρ v )/2, from attractive contribution . In eqs –, k 1, ij , k 2, ij , z 1, ij , z 2, ij are constants related to the LJ potential parameters, R i = 2Σ j x j d ij – Σ i Σ i x i x j d ij , g 0, ij ( R ij ) and g 1, ij ( R ij ) are the radial distribution functions (RDFs) of hard-sphere and first-order perturbation terms at contact, and G 0, ij ( z ij )and G 1, ij ( z ij ) are the corresponding Laplace transforms …”
Section: Theorymentioning
confidence: 99%
“…In this work, we try to establish a general model based on the statistical mechanics to describe the wetting behavior of nanoparticles at the vapor‐liquid interface, in which the calculation of line tension will be intensively discussed. We develop the theory with a nonlocal density functional method, where the modified fundamental measurement theory (MFMT),25, 26 the first‐order mean spherical approximation (FMSA),27–31 and the renormalization group (RG) transformation32–34 for the critical phenomena are incorporated. Apart from a systematic description of global phase behavior and surface tension, the present theory also gives the first estimate of the line tension as well as the modified contact angle of nanoparticles at fluid interface.…”
Section: Introductionmentioning
confidence: 99%
“…We chose the FMSA-SAFT model because it is more theoretically rigorous and applies to both homogeneous and inhomogeneous fluids. 16,17 For the mixture of water and phenol, the FMSA-SAFT model has the same number of parameters as the PC-SAFT model. Pure component data for regression were generated using the DIPPR database.…”
Section: Applications Of the Ea Methodsmentioning
confidence: 99%
“…to parameter regression. In our work, we applied the EA method to regress the parameters of first-order mean spherical approximation SAFT model (FMSA-SAFT) 11,16 to data for the same mixture of water and phenol discussed above. We chose the FMSA-SAFT model because it is more theoretically rigorous and applies to both homogeneous and inhomogeneous fluids.…”
Section: Applications Of the Ea Methodsmentioning
confidence: 99%