Smart Search 


1_2026_sen_10

Title of the article MULTI-CRITERIA CHOICE OF BASE OILS IN THE PRODUCTION OF LUBRICANTS BASED ON FUZZY TOPSIS
Authors

KAVALIOVA Inna N., Ph. D. in Eng., Assoc. Prof.,  Leading Researcher of the Laboratory 2.1 “Mechanics of composites and biopolymers”, V.A. Belyi Metal-Polymer Research Institute of the NAS of Belarus, Gomel, Republic of Belarus, This email address is being protected from spambots. You need JavaScript enabled to view it.">This email address is being protected from spambots. You need JavaScript enabled to view it.

MARCHANKA Larysa N., Ph. D. in Eng., Assoc. Prof., Head of Fundamental and Applied Mathematics Department, Francisk Skorina Gomel State University, Gomel, Republic of Belarus; Senior Researcher, Sofia Kovalevskaya Northwestern Center for Mathematical Research, Pskov, Russian Federation; This email address is being protected from spambots. You need JavaScript enabled to view it.">This email address is being protected from spambots. You need JavaScript enabled to view it. 

PODGORNAYA Viktoriya V., Ph. D. in Phys. and Math., Assoc. Prof., Deputy Director for Science, V.A. Belyi Metal-Polymer Research Institute of the NAS of Belarus, Gomel, Republic of Belarus, This email address is being protected from spambots. You need JavaScript enabled to view it.">This email address is being protected from spambots. You need JavaScript enabled to view it.

ZIYAMUKHAMEDOVA Umida A., D. Sc. in Eng., Prof., Professor of the Department of Materials Science and Mechanical Engineering, Tashkent State Transport University, Tashkent, Republic of Uzbekistan, This email address is being protected from spambots. You need JavaScript enabled to view it.">This email address is being protected from spambots. You need JavaScript enabled to view it.
In the section MECHANICAL ENGINEERING MATERIALS AND TECHNOLOGIES
Year 2026
Issue 1(74)
Pages 81–87
Type of article RAR
Index UDK 303.722.4:621.892
DOI https://doi.org/10.46864/1995-0470-2026-1-74-81-87
Abstract The friction units in any mechanism play an important role for their effective work as a whole. Modern mechanisms are not only high-precision, but also multi-component systems in which the selection of lubricant is an important task for developers and manufacturers. Developers need to take into account the properties of the friction unit materials and its functionality, loads, and manufacturers to get a final product not only reliable, but also cost-effective, meeting consumer demands. Since lubricants have different composition and functional purpose, a system approach should be used in their selection. The presented paper proposes a methodology of selection of base oil based on their physico-chemical properties (criteria) according to the results of physical experiment and unclear approach. The experimental data were converted into trapezoidal fuzzy numbers, unclear weights of selection criteria were determined, and a Fuzzy TOPSIS procedure was carried out. The proposed approach takes into account the variation of experimental data and measurement uncertainty when grading base oils by their physico-chemical properties.
Keywords vegetable oils, animal fats, biodegradable lubricants, friction coefficient, wear rate, entropy, Fuzzy TOPSIS, rating, environmental pollution
  You can access full text version of the article
Bibliography
  1. Parenago O.P., et al. Sostoyanie i perspektivy razvitiya proizvodstva biorazlagaemykh plastichnykh smazok (obzor) [State and prospects of the production of biodegradable plastic lubricants (review)]. Neftekhimiya, 2017, vol. 57, no. 6, pp. 766–768 (in Russ.). 
  2.  Salunke A., et al. Selection of engine oil using multi-attribute decision-making methods. International journal of industrial and systems engineering, 2022, vol. 42, no. 1, pp. 96–117. DOI: https://doi.org/10.1504/IJISE.2022.126025. 
  3. Marchenko L.N., Kavaliova I.N., Podgornaya V.V. Selection of a base vegetable oil for the development of a biodegradable lubricant using the TOPSIS method. Journal of machinery manufacture and reliability, 2024, vol. 53, iss. 4, pp. 313–320. DOI: https://doi.org/10.1134/S1052618824700195. 
  4.  Jiang Z., et al. Friction reduction and antiwear mechanisms of cerium sulfide nanosheets under different sliding conditions. Langmuir, 2025, vol. 41, iss. 4, pp. 2492–2505. DOI: https:// doi.org/10.1021/acs.langmuir.4c04231. 
  5.  Jiang Z., et al. Tribological properties and lubrication mechanism of oleylamine-modified FeCoNi magnetic nanoparticles as additive in polar synthetic ester oil. Wear, 2025, vol. 566– 567. DOI: https://doi.org/10.1016/j.wear.2025.205764. 
  6.  Polyakov V.S., Nikiforova T.E., Kozlov V.A., Bazarov Yu.M. Smazochnye kompozitsii na osnove rapsovogo masla [Lubricating compositions on the base of colza oil]. ChemChemTech, 2008, vol. 51, no. 3, pp. 58–62 (in Russ.). 
  7.  Streltsov V.V., Bugayev A.M. Perspektivy ispolzovaniya v tekhnike masel rastitelnogo proiskhozhdeniya [Use prospects in technique of oils of a phytogenesis]. Vestnik FGOU VPO “Moscow State Agroengineering University Named after V.P. Goryachkin”, 2010, no. 2(41), pp. 47–49 (in Russ.). 
  8.  Hussain M.M., Gaval V.R., Pratap A.P. Selection of vegetable oil based biolubricant using TOPSIS MCDM model. Materials today: proceedings, 2022, vol. 62, part 2, pp. 512–516. DOI: https://doi.org/10.1016/j.matpr.2022.03.585.  
  9. Hwang C.L., Yoon K. Methods for multiple attribute decision making. Multiple attribute decision making: Methods and applications a State-of-the-Art survey, 1981, pp. 58–191. DOI: https://doi.org/10.1007/978-3-642-48318-9_3. 
  10.  Chen M.-F., Tzeng G.-H. Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Mathematical and computer modelling, 2004, vol. 40, iss. 13, pp. 1473–1490. DOI: https://doi.org/10.1016/j.mcm.2005.01.006. 
  11.  Chen S.-J., Hwang C.-L. Fuzzy multiple attribute decision making methods. Fuzzy multiple attribute decision making: Methods and applications, 1992, pp. 289–486. DOI: https://doi. org/10.1007/978-3-642-46768-4_5. 
  12.  Tukey J.W. Exploratory data analysis. Reading, Addison-Wesley, 1977. 712 p. 
  13.  Zeleny M. Multiple criteria decision making. New York, McGraw-Hill, 1982. 563 p. 
  14.  Kaufmann A., Gupta M.M. Introduction to fuzzy arithmetic: Theory and applications. New York, Van Nostrand Reinhold Company, 1985. 351 p. 
  15.  Chen C.-T. Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 2000, vol. 114, iss. 1, pp. 1–9. DOI: https://doi.org/10.1016/S0165- 0114(97)00377-1.