Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/61846
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dc.contributor.authorMaheswaran, Rathinam-
dc.contributor.authorKarthikeyan, Subramanian-
dc.date.accessioned2023-05-04T11:24:39Z-
dc.date.available2023-05-04T11:24:39Z-
dc.date.issued2023-05-
dc.identifier.issn0975-0991 (Online); 0971-457X (Print)-
dc.identifier.urihttp://nopr.niscpr.res.in/handle/123456789/61846-
dc.description361-369en_US
dc.description.abstractThe use of vegetable oils for industrial applications needs chemical modification to improve its properties. For coolants and lubricant applications, the viscosity of vegetable oils plays a vital role which decides the heat dissipation and flow characteristics of vegetable oils. In this study, the viscosity prediction modeling of binary mixtures has been made using refutes empirical relations. The blend viscosity from the model depends on the blend ratios of the unsaturated fatty acids in castor oil and methanol. This blending of castor oil and methanol follows KOH assisted transesterification process to form Fatty Acid Methyl Ester (FAME) soap solution. The transesterified blend mixes have been experimentally analyzed for viscosity using Brookfield viscometer. The measured values of viscosities of the blend mix have been compared with viscosities obtained from refutes binary blend mix model. The percentage deviation between the experimental viscosities and Refutes viscosity prediction model is about 10.76%. The prepared FAME soap solution can be used as coolants and lubricants in manufacturing industries.en_US
dc.language.isoenen_US
dc.publisherNIScPR-CSIR, Indiaen_US
dc.sourceIJCT Vol.30(3) [May 2023]en_US
dc.subjectCastor oilen_US
dc.subjectKinetic modelingen_US
dc.subjectMethanolen_US
dc.subjectRefutes Viscosity modelingen_US
dc.subjectTransesterificationen_US
dc.titleSynthesis, theoretical studies and viscosity correlations of ricinoleic acid based methyl ester soap solutionen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.56042/ijct.v30i3.71221en_US
Appears in Collections:IJCT Vol.30(3) [May 2023]

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