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Testing and Performance Evaluation of Vegetable-Oil–Based Hybrid Nano Cutting Fluids

Authors: Srinu Gugulothu; Vamsi Krishna Pasam;

Testing and Performance Evaluation of Vegetable-Oil–Based Hybrid Nano Cutting Fluids

Abstract

Abstract The purpose of synthesizing hybrid nano cutting fluid is to improve the thermal conductivity and effective heat transfer coefficient of nanofluid containing single nanoparticles. This may be useful for making machining more efficient. In the present work, different vegetable-oil–based hybrid nano cutting fluids are formulated by dispersing carbon nanotubes/boric acid and carbon nanotubes/molybdenum disulfide (CNT/MoS2) nanoparticles in sesame, neem, and mahua oils at 1 % weight, with surfactants in hybrid ratios of 1:1, 1:2, and 2:1, respectively. Three different surfactants, sodium dodecyl sulfate (SDS), TritonX100, and Tween80, are used in the preparation of the different hybrid nano cutting fluids. Samples are prepared based on Taguchi’s L9 orthogonal array to identify the optimum combination of elements for better stability. The stability of the formulated fluids is evaluated through a sedimentation test and zeta potential test. Density and kinematic viscosity are measured for the prepared hybrid nano cutting fluid samples. Sesame-oil–based hybrid nano cutting fluid with CNT/MoS2 hybrid nanoparticles with 1:2 hybrid ratio at 15 % concentration of SDS surfactant by weight of nanoparticles has shown to have better stability. Machining is performed using stable hybrid nano cutting fluid in a minimum quantity lubrication during turning of AISI 1040 steel with uncoated carbide tools. Machining performance is improved with hybrid nano cutting fluid in terms of cutting force, temperature, surface roughness, and tool flank wear compared to dry and conventional cutting fluid.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
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