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Article

Predicting the Viscosity of Ester Biolubricants by the Functional Groups of Their Compounds Using a Sensitivity Parameter Model

by
F. Javier Ramos
1,2,*,
Juan Carlos de Haro
1,3,
Juan Francisco Rodríguez
1,
Ángel Pérez
1 and
Manuel Carmona
1
1
Institute of Chemical and Environmental Technology (ITQUIMA), University of Castilla-La Mancha, Camilo José Cela Avenue, 13071 Ciudad Real, Spain
2
Department of Vegetal Production and Agricultural Technology, Higher Technical School of Agricultural and Forestry Engineering, University of Castilla-La Mancha, Paseo de los Estudiantes, 02006 Albacete, Spain
3
School of Architecture, European University of the Canary Islands, Inocencio García Street 1, 38300 La Orotava, Spain
*
Author to whom correspondence should be addressed.
Lubricants 2025, 13(4), 179; https://doi.org/10.3390/lubricants13040179
Submission received: 28 February 2025 / Revised: 3 April 2025 / Accepted: 9 April 2025 / Published: 12 April 2025

Abstract

Oleic-based trimethylolpropane (TMP) ester mixtures can be produced via esterification reaction between oleic acid (OA) and TMP, presenting important application as biobased lubricants. In this study, a new mathematical model that allows us to predict kinematic viscosities of such mixtures based on kinematic viscosity sensitivity parameters from product functional groups was developed, and it was also checked by fitting the experimental kinematic viscosities of the biolubricant products at 40 and 100 °C. This way, it is possible to predict kinematic viscosities and the viscosity index of these biolubricant mixtures and even pure TMP-esters without the availability to measure purified compounds. Moreover, the influence on the viscosity properties of the different chemical functional groups can be assessed with this physical model. So, the deleterious or beneficial effects of intermediate products and unreacted OA on the biolubricant viscosity index (VI) were quantified, showing that Trioletate and also Dioleate TMP-ester and their mixtures meet very interesting lubricant properties (VI up to 218), whereas the Monooleate TMP-ester and the unreacted OA decrease dramatically the viscosity properties. We believe that these findings can pave the way for the improvement and development of bio-based lubricant formulations towards effective industrial development.
Keywords: viscosity index; viscosity modeling; sensitivity parameters; kinematic viscosity; functional groups; biolubricant; TMP-oleates; TMP-ester viscosity index; viscosity modeling; sensitivity parameters; kinematic viscosity; functional groups; biolubricant; TMP-oleates; TMP-ester

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MDPI and ACS Style

Ramos, F.J.; de Haro, J.C.; Rodríguez, J.F.; Pérez, Á.; Carmona, M. Predicting the Viscosity of Ester Biolubricants by the Functional Groups of Their Compounds Using a Sensitivity Parameter Model. Lubricants 2025, 13, 179. https://doi.org/10.3390/lubricants13040179

AMA Style

Ramos FJ, de Haro JC, Rodríguez JF, Pérez Á, Carmona M. Predicting the Viscosity of Ester Biolubricants by the Functional Groups of Their Compounds Using a Sensitivity Parameter Model. Lubricants. 2025; 13(4):179. https://doi.org/10.3390/lubricants13040179

Chicago/Turabian Style

Ramos, F. Javier, Juan Carlos de Haro, Juan Francisco Rodríguez, Ángel Pérez, and Manuel Carmona. 2025. "Predicting the Viscosity of Ester Biolubricants by the Functional Groups of Their Compounds Using a Sensitivity Parameter Model" Lubricants 13, no. 4: 179. https://doi.org/10.3390/lubricants13040179

APA Style

Ramos, F. J., de Haro, J. C., Rodríguez, J. F., Pérez, Á., & Carmona, M. (2025). Predicting the Viscosity of Ester Biolubricants by the Functional Groups of Their Compounds Using a Sensitivity Parameter Model. Lubricants, 13(4), 179. https://doi.org/10.3390/lubricants13040179

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