4.7 Article

Sustainability analysis of lubricant oils for minimum quantity lubrication based on their tribo-rheological performance

期刊

JOURNAL OF CLEANER PRODUCTION
卷 164, 期 -, 页码 1419-1429

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2017.07.078

关键词

MQL lubrication; Inconel 718; End milling; Biodegradable oils; Life cycle assessment

资金

  1. HAZITEK program
  2. Department of Economic Development and Infrastructures of the Basque Government
  3. FEDER founds

向作者/读者索取更多资源

Nowadays, environmentally friendly cutting fluids should be applied in manufacturing processes. Concretely, in many machining processes the use of minimum quantity of lubrication (MQL) is established as common routine. In this paper, the use of natural biodegradable oils as an alternative to traditional canola oils used in MQL is analyzed, comparing five different alternatives (i.e.: sunflower oil, high oleic sunflower oil, castor oil and ECO-350 recycled oil). Firstly, the aim is to evaluate the feasibility of the proposed oils, just analyzing their tribological and rheological characteristics. Secondly, a full battery of experimental tests was performed in order to validate their behavior during cutting Inconel 718, a difficult-to-cut material commonly used in aeronautical components. Finally, life cycle assessment was carried out with the aim of analyzing their environmental feasibility. Results show that the combination of low viscosity with high friction coefficient implies an increase in tool life. In this line, ECO-350 recycled oil presents a feasible behavior and improves the tool life up to 30% in comparison with commercial canola oil. However, its recycling process has to be improved from an environmental point of view. Taking both issues, high oleic sunflower oil presents a balance between them. On one hand, it improves tool life (15%) and on the other hand, similar environmental impact is obtained compared with canola oil. This supposes an advance, being more efficiently, not only environmentally speaking but also technically. (C) 2017 Elsevier Ltd. All rights reserved.

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