Please use this identifier to cite or link to this item:
Type of publication: Straipsnis kitose duomenų bazėse / Article in other databases (S4)
Field of Science: Aplinkos inžinerija / Environmental engineering (T004)
Author(s): Kreivaitis, Raimondas;Gumbytė, Milda
Title: Investigation of Mixture of Vegetable Oil and Synthetic Esters as Environmentally Friendly Base Stock for Low-temperature Lubrication Applications
Is part of: Tribology in Industry. Kragujevac : University of Kragujevac, Vol 40, No 3 (2018)
Extent: p. 401-409
Date: 2018
Note: eISSN 2217-7965
Keywords: Lubricants;Base stocks;Environmentally friendly;Low temperature;Friction;Wear
Abstract: Environmental issues are of great importance in all the areas of industry and transport. Usage of environmentally friendly, easily biodegradable lubricants has a benefit, when the oil can get into environment by using total loss lubricants, leakages or some accidents. Due to inherent biodegradability, extremely high viscosity index, lubricity, and low cost various vegetable oils are used to produce environmentally friendly lubricants. However vegetable oils have some drawbacks, in particular narrow temperature range and poor oxidation stability. The aim of current study is to evaluate possibility to improve vegetable oil cold temperature properties by dilution it with synthetic esters. The dilution of rapeseed oil is done up to 30 % by lower viscosity poly alpha olefins. The pure point, low temperature flow behavior and tribological properties of diluents are investigated. The results show significant improvement in pure point temperature and low temperature flow ability. Dilution has negative effect on tribological properties. However the investigated mixtures are compatible with antiwear additives and their tribological properties can be improved
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml6.54 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats

CORE Recommender

Page view(s)

checked on Dec 11, 2020


checked on Dec 11, 2020

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.