Performance of silver nanofluids with minimum quantity lubrication in turning on titanium: a phase to green manufacturing


Nowadays industries are looking forward for a sustainable manufacturing. Nanofluid with minimum quantity lubrication is one technology in the areas of green manufacturing, which minimizes the pollution caused to the environments. The aim of this work was to examine the influence of silver nanoparticles-based cutting fluid with minimum quantity lubrication in turning on titanium (grade 2) by changing the environmental conditions. Taguchi’s L27 orthogonal array has been selected to execute the experimental trials. The responses considered are surface roughness, temperature and tool wear. The process parameters selected for this analysis were environment, cutting speed, feed and depth of cut. The principal component analysis was used to determine the optimal conditions in turning parameters. It was noticed that environment is the key parameter in defining the responses. Under optimal conditions, the surface roughness has been decreased by 89%, temperature has been reduced by 44% and wear on the tool has also been reduced. The tool wear and chip morphology were reviewed through scanning electron microscope for a complete study.

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Minimum quantity lubrication


Principal component analysis


Flood lubrication


Scanning electron microscope


American Iron and Steel Institute


Built-up edges

Al2O3 :

Aluminium oxide


Titanium alloys


Aluminium alloy

MoS2 :

Molybdenum disulphide

SiO2 :

Silicon dioxide


Copper oxide

TiO2 :

Titanium dioxide


Average surface roughness

S/N ratio:

Signal-to-noise ratio




Watt per metre kelvin


Analysis of variance


Multiresponse performance index


Proportion of explained variation


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Anandan, V., Naresh Babu, M., Muthukrishnan, N. et al. Performance of silver nanofluids with minimum quantity lubrication in turning on titanium: a phase to green manufacturing. J Braz. Soc. Mech. Sci. Eng. 42, 198 (2020).

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  • Nanofluids
  • Silver
  • Minimum quantity lubrication
  • Principal component analysis
  • Surface roughness