EconPapers    
Economics at your fingertips  
 

The statistical investigation of multi-grade oil based nanofluids: Enriched by MWCNT and ZnO nanoparticles

Mohammad Hemmat Esfe and Saeed Esfandeh

Physica A: Statistical Mechanics and its Applications, 2020, vol. 554, issue C

Abstract: In this experiment, for the first time, nanoparticles were suspended in the 5W30 base oil as a suitable oil for mild climates. Statistical investigation of the temperature effect, volume fraction (VF) and shear rate (SR) for viscosity of MWCNT–ZnO (20%–80%) / 5W30 nanofluid and a new experimental three variable correlation are presented for engineering applications with non-Newtonian fluids as their working fluids. In fact, the effect of SR on viscosity changes is considered for the first time for viscosity prediction of SAE 5W30 engine oil. Viscosity tests were carried out at temperatures between 5–55 °C to check the enriched oil behavior at low temperatures and 0.05%–1% VFs considering economic limitations. The addition of nanoparticles to the 5W30 base fluid at all temperatures increased viscosity. Moreover, the viscosity sensitivity less than 2% on VFs less than one, indicates that this nanofluid is suitable to use in various engineering systems. Low level of sensitivity of proposed nanofluid is a suitable condition for using this nanofluid in industries with a high level of risks of human mistakes.

Keywords: Nanofluid; Viscosity; MWCNT; ZnO; Nano oil; Correlation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843711931252X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:554:y:2020:i:c:s037843711931252x

DOI: 10.1016/j.physa.2019.122159

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:554:y:2020:i:c:s037843711931252x