Thermophysical Characterisation of the Diacetone Alcohol-Water Binary System

Understanding of thermodynamic variables in any binary liquid system is crucial for the development of industrial products. Among the various thermodynamic parameters, density (ρ), viscosity (η), surface tension (γ), apparent molar volume (фv) and partial molar volume (V̄m) have been extensively used to characterize the binary liquid systems. In this article, we have investigated the density (ρ), viscosity (η), surface tension (γ), apparent molar volume (фv) and partial molar volume (V̄m) of binary mixtures of diacetone alcohol (DAA)-water system across all mole fractions at 301 K. Viscosity increases as the mole fraction of diacetone alcohol increases up to 0.6 and then decreases drastically. Initially, positive deviations have been observed for the viscosity of the liquid binary mixtures, while it changes to negative at higher DAA concentrations. The increase in surface tension at higher DAA concentrations in the binary liquid mixture indicates stronger intermolecular forces, leading to an increase in the resistance to surface area expansion at the interface. Volume excess properties were analyzed to explore molecular interactions between the components. The excess volume (VE) and volume changes (Vm) indicate the volume contraction at higher mole fractions of DAA due to stronger intermolecular interactions between diacetone alcohol and water. The structural and thermodynamic data of the DAA-water system can contribute to the advancement of process and industrial product development techniques.

Authors

Institutions

Publication Details

Journal
Journal of Applied Science & Process Engineering
Published
2026-04-30
DOI
https://doi.org/10.33736/jaspe.10743.2026
Primary Topic
Phase Equilibria and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermophysical Characterisation of the Diacetone Alcohol-Water Binary System

Ramesh T N, Vani P S, Likhith M R
Journal of Applied Science & Process Engineering
Phase Equilibria and Thermodynamics
article

Thermophysical Characterisation of the Diacetone Alcohol-Water Binary System

Ramesh T N, Vani P S, Likhith M R
article en

Abstract

Understanding of thermodynamic variables in any binary liquid system is crucial for the development of industrial products. Among the various thermodynamic parameters, density (ρ), viscosity (η), surface tension (γ), apparent molar volume (фv) and partial molar volume (V̄m) have been extensively used to characterize the binary liquid systems. In this article, we have investigated the density (ρ), viscosity (η), surface tension (γ), apparent molar volume (фv) and partial molar volume (V̄m) of binary mixtures of diacetone alcohol (DAA)-water system across all mole fractions at 301 K. Viscosity increases as the mole fraction of diacetone alcohol increases up to 0.6 and then decreases drastically. Initially, positive deviations have been observed for the viscosity of the liquid binary mixtures, while it changes to negative at higher DAA concentrations. The increase in surface tension at higher DAA concentrations in the binary liquid mixture indicates stronger intermolecular forces, leading to an increase in the resistance to surface area expansion at the interface. Volume excess properties were analyzed to explore molecular interactions between the components. The excess volume (VE) and volume changes (Vm) indicate the volume contraction at higher mole fractions of DAA due to stronger intermolecular interactions between diacetone alcohol and water. The structural and thermodynamic data of the DAA-water system can contribute to the advancement of process and industrial product development techniques.

Journal of Applied Science & Process EngineeringVol. 13(1)
Tumkur University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Phase Equilibria and Thermodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.