DOI: https://doi.org/10.36719/2707-1146/57/20-26
Rahib Gasimov
Institute of Chemistry of Additives of Ministry of Science and
Education of the Republic of Azerbaijan
PhD Student
https://orcid.org/0009-0004-5609-0647
rahib6400@gmail.com
Vagif Farzaliyev
Institute of Chemistry of Additives of Ministry of Science and
Education of the Republic of Azerbaijan
https://orcid.org/0000-0002-2047-8488
aki05@mail.ru
Elmira Naghiyeva
Institute of Chemistry of Additives of Ministry of Science and
Education of the Republic of Azerbaijan
Doctor of Technical Sciences
https://orcid.org/0000-0003-2563-1768
nagiyeva.46@mail.ru
Rahila Mammadova
Institute of Chemistry of Additives of Ministry of Science and
Education of the Republic of Azerbaijan
https://orcid.org/0000-0002-9523-6168
aki05@mail.ru
Sahila Nasirova
Institute of Chemistry of Additives of Ministry of Science and
Education of the Republic of Azerbaijan
https://orcid.org/0000-0002-6498-602X
aki05@mail.ru
Mathematical Modelling and Optimization of Alkyl-Phenol Based
Additive – Aki-56 for Motor Oils: a Full Factorial Design Approach
Abstract
Motor oil performance enhancement is excessively crucial, as the industrial demand and the need for electrical vehicles evolve. In this context, the development and optimization of multi-functional alkyl-phenol based additive – AKI-56 (as detergent and dispersant) as part of the lubricant performance packages can potentially serve for the mentioned objective, as has been studied in this chemical engineering analysis. The study covered the Full Factorial Design methodology where the impact of the mass of formaldehyde (CH2O), amino acid (glycine – NH2CH2COOH) and Ca(OH)2 on the total base number of final product after the one-stage condensation and neutralization reactions was mathematically analysed. The harmony of chemical, mathematical and engineering analysis has indicated the critical ranges for reagent proportions, achieving a total base number of 105.1 mgKOH/g while minimizing the acceptable levels of corrosion. The research findings can be utilized as a foundation for further advancements in dispersant-detergent based additive performance optimization and therefore, longevity of the modern engines.
Keywords: FFD, modelling, TBN, motor oil additives, detergents, dispersants