146
Views
7
CrossRef citations to date
0
Altmetric
Articles

Densities and viscosities for the ternary system of cyclopropanemethanol (1) + 2, 2, 4-trimethylpentane (2) + decalin (3) and corresponding binaries at T = 293.15–323.15 K

, , , &
Pages 491-503 | Received 12 May 2018, Accepted 17 Jun 2018, Published online: 29 Jun 2018
 

ABSTRACT

Densities (ρ) and viscosities (η) of a ternary system cyclopropanemethanol (1) + 2,2,4-trimethylpentane (2) + decalin (3) and three corresponding binary systems were measured at temperatures from 293.15 K to 323.15 K and atmospheric pressure. Densities were obtained by using a vibrating-tube densimeter. Viscosities were determined by an automatic microviscometer based on the rolling ball principle. The excess molar volumes (VmE) and viscosity deviations (Δη) of the ternary system were derived from the experimental data and then were fitted to Clibuka, Nagata–Tamura and Redlich–Kister equation, respectively. The binary subsystems were correlated by Redlich–Kister equation. The values of VmE and Δη were used to discuss the nature of mixing behaviours between mixture components.

Disclosure statement

No potential conflict of interest was reported by the authors.

Supplementary Material

Supplemental data for this article can be accessed on the publisher’s website.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [grant number J1210042], [grant number 21173191].

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.