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Comparison of sustainable cooling systems used in the drilling repair of Mg-Al and Mg-Ti multi-material parts in the aeronautical industry

D. Blanco Gómez, E. M. Rubio, M.A. Sáenz-Nuño, R.M. Lorente-Pedreille

Tribology International Vol. 175, pp. 107804-1 - 107804-32

Summary:

The article presents as a novelty a comparative study of the efficiency of different sustainable cooling systems in the re-drilling repair process of magnesium-based multi-material components for aeronautical and automotive sectors. The cooling systems compared are: dry machiningminimum quantity of lubricant with eco-fluid (MQL-Eco), cold compressed air (CCA) and cryogenic machining. Multi-materials used are magnesium-aluminium and magnesium-titanium combinations. The study uses descriptive statistics and ANOVA to conclude the significant factors and interactions. Conclusions highlight differences depending on the type of response variable chosen. The best results for the Mg-Al-Mg are obtained using MQL-Eco, and for Mg-Ti-Mg with cryogenic machining.


Spanish layman's summary:

Estudio comparativo de la eficacia de diferentes sistemas de refrigeración sostenible en el proceso de reparación de componentes multimateriales de base de magnesio para los sectores aeronáutico y de automoción.

 


English layman's summary:

Comparative study of the efficiency of different sustainable cooling systems in the re-drilling repair process of magnesium-based multi-material components for aeronautical and automotive sectors.


Keywords: Multi-material; Machining; Cooling; Sustainable


JCR Impact Factor and WoS quartile: 6,200 - Q1 (2022)

DOI reference: DOI icon https://doi.org/10.1016/j.triboint.2022.107804

Published on paper: November 2022.

Published on-line: July 2022.



Citation:
D. Blanco Gómez, E. M. Rubio, M.A. Sáenz-Nuño, R.M. Lorente-Pedreille, Comparison of sustainable cooling systems used in the drilling repair of Mg-Al and Mg-Ti multi-material parts in the aeronautical industry. Tribology International. Vol. 175, pp. 107804-1 - 107804-32, November 2022. [Online: July 2022]


    Research topics:
  • Health metrology
  • Mathematical Models and Artificial Intelligence in Healthcare