Excess Gibbs free energy of mixing in some hydrocarbon+alcohol solutions by Rayleigh light scattering

1970 ◽  
Vol 2 (1) ◽  
pp. 53-61 ◽  
Author(s):  
Richard S Myers ◽  
H Lawrence Clever
Keyword(s):  
Free Energy ◽  
Light Scattering ◽  
Gibbs Free Energy ◽  
Excess Gibbs Free Energy ◽  
Rayleigh Light Scattering ◽  
Energy Of Mixing ◽  
Free Energy Of Mixing ◽  
Rayleigh Light

Activity coefficients of NaNO3 in (Mg, Ca, Sr, and Ba)(NO3)2 + H2O systems at 298 K by EMF methods

1993 ◽  
Vol 71 (3) ◽  
pp. 384-389 ◽  
Author(s):  
Stephen N. Smith ◽  
S. Sarada ◽  
Ramamurthy Palepu
Keyword(s):  
Free Energy ◽  
Ionic Strength ◽  
Gibbs Free Energy ◽  
Activity Coefficients ◽  
Interaction Parameters ◽  
Excess Gibbs Free Energy ◽  
Experimental Activity ◽  
Energy Of Mixing ◽  
Total Ionic Strength ◽  
Free Energy Of Mixing

The activity coefficients of NaNO3 in Mg(NO3)2, Ca(NO3)2, Sr(NO3)2 and Ba (NO3)2 were determined at constant total ionic strength of 0.1, 0.5, 0.75, 1.0, 1.5, and 2.0 mol kg−1 at 298 K using EMF methods. The experimental activity coefficients were analyzed using four different formalisms, namely, Reilly–Wood–Robinson, Scatchard, Pitzer, and Harned equations, and the interaction parameters were evaluated. Excess Gibbs free energy of mixing and trace activity coefficients were calculated and the results are discussed.

Neutron and Light Scattering Studies of Compatible Polymer Blends

1986 ◽  
Vol 79 ◽  
Author(s):  
E. W. Fischer
Keyword(s):  
Free Energy ◽  
Light Scattering ◽  
Polymer Blends ◽  
Gibbs Free Energy ◽  
Thermodynamic Description ◽  
Energy Of Mixing ◽  
Free Energy Of Mixing

As it is well known the Flory-Huggins approach of the thermodynamic description of a mixture of two polymers A and B leads to an expression [1] for the Gibbs free energy of mixing ΔG

scholarly journals Thermodynamic, structural, surface and transport properties of Au-Ni liquid alloy at 1150 K

BIBECHANA ◽  
2021 ◽  
Vol 18 (1) ◽  
pp. 184-192
Author(s):  
S K Yadav ◽  
N Chaudhary ◽  
D Adhikari
Keyword(s):  
Free Energy ◽  
Transport Properties ◽  
Gibbs Free Energy ◽  
Liquid Alloy ◽  
Concentration Fluctuation ◽  
Excess Gibbs Free Energy ◽  
Long Wavelength ◽  
Energy Of Mixing ◽  
Structural Surface ◽  
Free Energy Of Mixing

Thermodynamic, structural, surface, and transport properties of Au-Ni liquid alloy at 1150 K were computed using different theoretical approaches. The thermodynamic properties, such as excess Gibbs free energy of mixing, enthalpy of mixing, activity and excess entropy of mixing, and structural properties, such as concentration fluctuation in long-wavelength limit and Warren-Cowley short-range order parameter were computed in the framework of Flory’s model. The effect of positive and negative values of the interchange energy parameter on the excess Gibbs free energy of mixing and concentration fluctuation in the long-wavelength limit was also observed. The surface tension and surface concentration of the system were calculated using Butler’s model. In the transport property, the viscosity of the system was calculated using Kaptay and Budai-Benko-Kaptay (BBK) models. BIBECHANA 18 (2021) 184-192

scholarly journals Thermodynamic Analysis of the Formation of FCC and BCC Solid Solutions of Ti-Based Ternary Alloys by Mechanical Alloying

Metals ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 510 ◽  
Author(s):  
Claudio Aguilar ◽  
Carola Martinez ◽  
Karem Tello ◽  
Sergio Palma ◽  
Adeline Delonca ◽  
...  
Keyword(s):  
Free Energy ◽  
Mechanical Alloying ◽  
Gibbs Free Energy ◽  
Thermodynamic Analysis ◽  
Solid Solutions ◽  
Ternary Systems ◽  
Solubility Limit ◽  
Ternary Alloys ◽  
Energy Of Mixing ◽  
Free Energy Of Mixing

A thermodynamic analysis of the synthesis of face-centred cubic (fcc) and body-centred cubic (bcc) solid solutions of Ti-based alloys produced by mechanical alloying was performed. Four Ti-based alloys were analysed: (i) Ti-13Ta-3Sn (at.%), (ii) Ti-30Nb-13Ta (at.%), (iii) Ti-20Nb-30Ta (wt. %) and (iv) Ti-33Nb-4Mn (at.%). The milled powders were characterized by X-ray diffraction, and the crystallite size and microstrain were determined using the Rietveld and Williamson–Hall methods. The Gibbs free energy of mixing for the formation of a solid solution of the three ternary systems (Ti-Ta-Sn, Ti-Nb-Ta and Ti-Nb-Mn) was calculated using an extended Miedema’s model, applying the Materials Analysis Applying Thermodynamics (MAAT) software. The values of the activity of each component were determined by MAAT. It was found that increasing the density of crystalline defects, such as dislocations and crystallite boundaries, changed the solubility limit in these ternary systems. Therefore, at longer milling times, the Gibbs free energy increases, so there is a driving force to form solid solutions from elemental powders. Finally, there is agreement between experimental and thermodynamic data confirming the formation of solid solutions.

scholarly journals OPTIMIZATION OF DRUG SOLUBILITY USING ASPEN PLUS: ACETYLSALICYLIC ACID (ASPIRIN) SOLUBILITY – A SECOND CASE STUDY

2020 ◽  
pp. 178-184
Author(s):  
KAMAL I AL-MALAH
Keyword(s):  
Free Energy ◽  
Gibbs Free Energy ◽  
Stable Solution ◽  
Aspen Plus ◽  
Liquid Solution ◽  
Flow Sheet ◽  
Molar Gibbs Free Energy ◽  
Energy Of Mixing ◽  
Free Energy Of Mixing

Objective: The objective of the study is to optimize the solubility of a drug or a drug-like molecule using Aspen Plus simulation platform. Aspirin (solute) was taken as the second case study. The following solvents were used in our dry (virtual) laboratory experiment: Water, acetone, ethanol, and ethylene-glycol-mono-propyl-ether (PROPGLYC). Methods: A simplified process flow sheet made of a single mixing tank where it has five feed streams, representing the solute, the water, and the set of three organic solvents, and one product stream where aspirin is either solubilized (liquid solution) or remains as solid crystal. Minimization of the molar Gibbs free energy of mixing, ΔGmix, was used as an objective function from an optimization point of view. The Non-random Two-liquid property method was used to analyze the solution properties. Results: Using the molar Gibbs free energy of mixing, ΔGmix, as a criterion of solution thermodynamic stability, it was found that the most stable solution is the quinary mixture made of 24.42% aspirin, 10.22% water, 21.08% acetone, 19.51% ethanol, and 24.77 mole % PROPGLYC. Conclusions: Exploiting Aspen Plus can be extended to handle the solubility of a new drug-like molecule once it is defined within its molecular editor with a little knowledge such as density and/or melting point.

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