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Verma Sweety,Bhagat Payal,Gahlyan Suman,Rani Manju,Kumar Naveen,Malik Rajesh Kumar,Lee Yongjin,Maken Sanjeev 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.9
As N-isopropyl-2-propanamine+alkanol (C1-C3) systems are potential absorbents for CO2 capture, we measured density (ρ), viscosity (η) and the ultrasonic speed data (u) for N-isopropyl-2-propanamine (DIPA) with alkanol (C1-C3) at T=(298.15 and 308.15) K and 0.1 MPa. The experimental density (ρ), viscosity (η) and ultrasonic speed (u) data were used to derive excess molar volume (V E m), apparent, partial, and excess partial molar volume, deviation in viscosity and deviation in ultrasonic speed, excess isentropic compressibility (K E s). We predicted the V E m values using the Prigogine-Flory-Patterson theory (PFP) and by Nakata and Sakurai model. An Ab initio approach was proposed for the excess isentropic compressibility (K E s) and Δη data which not only reproduces the experimental data but also gives important parameters that describe the extent of depolymerization on mixing and strength of intermolecular interactions.
Verma Sweety,Gahlyan Suman,Bhagat Payal,Rani Manju,Rana Seetu,Lee Yongjin,Maken Sanjeev 한국화학공학회 2024 Korean Journal of Chemical Engineering Vol.41 No.3
Reducing carbon emissions has emerged as a critical challenge, and among various methods, solvent-based CO 2 capture technology is the most widely employed. Amines, particularly eff ective solvents for CO 2 capture, play a signifi cant role in this process. To advance this technology, it is essential to understand the thermodynamic properties of the interactions between the constituent components. In this study, we examined the deviation in dynamic viscosity ( Δ ), and the deviation in refractive index ( Δn D ) calculated from the measured and n D data for n -butylamine (NBA) with alkanol systems. The temperature range for our study was 298.15–318.15 K. We utilized the Ab-initio approach for Δ data analysis. Our fi ndings revealed that the depolymerization power of alkanol is dependent on the unlike interactions. Furthermore, we employed various correlations/mixing rules to predict the as well as n D values from the experimental pure components data. The standard deviation was utilized to express the predictive abilities of these correlations.