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Experimental Study and ANN Analysis of Rheological Behavior of Mineral Oil-Based SiO2 Nanofluids
Indian Inst Technol Madras IIT Madras, Dept Elect Engn, Chennai 600036, Tamil Nadu, India..
Indian Inst Technol Madras IIT Madras, Dept Elect Engn, Chennai 600036, Tamil Nadu, India..
Indian Inst Technol Madras IIT Madras, Dept Elect Engn, Chennai 600036, Tamil Nadu, India..
Indian Inst Technol Madras IIT Madras, Dept Elect Engn, Chennai 600036, Tamil Nadu, India..
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2022 (English)In: IEEE transactions on dielectrics and electrical insulation, ISSN 1070-9878, E-ISSN 1558-4135, Vol. 29, no 3, p. 956-964Article in journal (Refereed) Published
Abstract [en]

This work reports an experimental and theoretical analysis of the rheological properties of mineral oil-based SiO2 nanofluid for their potential applications in transformer insulation. The flow electrification mechanism on the nanofluids with different surfactants such as cetyl trimethyl ammonium bromide (CTAB), oleic acid, and Span 80 is studied using a spinning disk technique. The results show a higher streaming current for the nanofluids with CTAB as a surfactant compared to oleic acid and Span 80. The rheological behavior of nanofluids is explored with the double gap concentric cylinder geometry. The variation of shear stress with shear rate follows a power law relationship along with a yield stress observed for all the nanofluids. A transition is seen from storage modulus to dominant loss modulus for the nanofluids during the frequency sweep analysis, whereas no transition is observed in the case of mineral oil. In addition, regression analysis using artificial neural network (ANN) algorithms are performed on the experimentally measured viscosity of the nanofluids in order to estimate theoretical parameters and provide insights into the streaming current formation. The desirable rheological characteristics of nanofluids are identified for achieving enhanced insulation performance in transformers.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 29, no 3, p. 956-964
Keywords [en]
Oils, Nanofluidics, Minerals, Temperature measurement, Fluids, Viscosity, Surfactants, Angular frequency, double layer, loss modulus nanofluid, shear stress, streaming current
National Category
Physical Chemistry Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-315711DOI: 10.1109/TDEI.2022.3173514ISI: 000818922900031Scopus ID: 2-s2.0-85132508970OAI: oai:DiVA.org:kth-315711DiVA, id: diva2:1683684
Note

QC 20220718

Available from: 2022-07-18 Created: 2022-07-18 Last updated: 2024-01-12Bibliographically approved

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Edin, Hans EzzTaylor, Nathaniel

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