248
Views
5
CrossRef citations to date
0
Altmetric
Articles

Validation of Messaâdi equation on viscosity-temperature dependence for some ternary liquid mixtures by statistical correlation analysis

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon show all
Pages 590-602 | Received 16 Mar 2019, Accepted 26 May 2019, Published online: 03 Jun 2019
 

ABSTRACT

The analysis of viscosity of fluid systems is in great demand by the optimisation of industrial products and processes. For this instance, numerous empirical expressions have been suggested in the literature to treat and investigate the viscosity of pure, binary and ternary solvents mixtures. In this circumstance, an interesting empirical equation correlating the two parameters related to the viscosity Arrhenius-type equation has recently proposed by Messaâdi et al. for some pure solvents and binary liquid mixtures. This work attempts to extend their equation to ternary liquid systems. Statistical analysis is made to perform this aim by utilising 113 data sets from previous works of some ternary solvents systems at different compositions. The validation of the generalised Messaâdi expression for ternary liquid systems oversimplifies the prediction of shear viscous behaviour as well as the estimation of one non-disposable parameter value when only the second one is present in literature.

Acknowledgments

We are grateful to Dr R.B. Haj-Kacem (Faculty of Economic Sciences and Management, Nabeul, University of Carthage, Tunisia) for fruitful discussions.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,616.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.