Extending the UNIFAC-VISCO Model and Introducing the UNIFAC-THERMO Model for Improved Viscosity Prediction of Binary Liquid Mixtures

The accurate prediction of liquid mixture viscosity is essential for the design and optimization of chemical processes. This study extends the UNIFAC-VISCO (UVM) model and introduces a new group-contribution framework, the UNIFAC-THERMO (UTM) model, which eliminates the need for experimental density...

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Bibliographic Details
Main Author:	M. Mehedi Hasan Rocky (19865605) (author)
Other Authors:	M. Nur Hossain (1434472) (author), M. Masum Billah (22551656) (author), Hasan Mahmud Ornok (22551659) (author), Hiroshi Hasegawa (190450) (author), Shamim Akhtar (1434475) (author)
Published:	2025
Subjects:	Biophysics Medicine Ecology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified thermophysical property estimation liquid mixture viscosity experimental density data binary liquid mixtures improved viscosity prediction viscosity prediction kinematic viscosity dynamic viscosity accurate prediction transferable framework study extends particularly beneficial facilitate application cyclic ethers contribution methods contribution framework chemical processes cases lacking carboxylic acids ambient applications
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Extending the UNIFAC-VISCO Model and Introducing the UNIFAC-THERMO Model for Improved Viscosity Prediction of Binary Liquid Mixtures

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