Performance evaluation of alumina-graphene hybrid nano-cutting fluid in hard turning

Singh, Rabesh Kumar; Sharma, Anuj Kumar; Dixit, Amit Rai; Tiwari, Arun Kumar; Pramanik, Alokesh; Mandal, Amitava

doi:10.1016/j.jclepro.2017.06.104

Cited by 198 publications

(55 citation statements)

References 47 publications

(15 reference statements)

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“…The friction is reduced by the nano-ball bearing phenomenon of the employed NF between the sliding surfaces. Along with this, the enhanced wetting surface can facilitate improved heat removal [33]. As such, the graphite NF has the lowest viscosity and the highest thermal conductivity ( Table 2).…”

Section: Effect Of Cutting Parameter and Nano-fluid Condition For Thementioning

confidence: 99%

Modeling and performance evaluation of Al2O3, MoS2 and graphite nanoparticle-assisted MQL in turning titanium alloy: an intelligent approach

Gupta

Mia

Pruncu

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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Recently, the urgency of improved machining performance and environmental sustainability has forced the manufacturer to seek for alternative cooling and lubricating agent/technique such as nano-fluid (NF)-assisted minimum quantity lubrication (MQL). In this context, the performances of aluminum oxide (Al 2 O 3), molybdenum disulfide (MoS 2) and graphite (C) NF-impinged MQL in turning of Ti alloy (grade II) using CBN tool were evaluated regarding the cutting force, cutting temperature and surface roughness. The cutting speed, feed rate, approaching angle and cutting conditions (i.e., NFs) were oriented following the Box-Behnken design-of-experiment. The experimental results showed that the graphite NF, compared to Al 2 O 3 and MoS 2 , revealed the lowest cutting force, temperature and roughness. Moreover, it is evident from SEM images that graphite NF revealed a smoother machined surface and tool profile. This smooth tool and workpiece surface profile can be accredited to graphite's role as a nano-lubricant and its breaking ability into smaller NFs under pressure. To make the study complete, the adaptive neuro-fuzzy inference system (ANFIS) was employed to predict, the response surface methodology (RSM) was used to mathematically model, and the composite desirability approach (CDA) was used to optimize the responses. A good agreement between the experimental and modeled observations was found; however, the ANFIS outperformed the RSM. Moreover, the analysis of variance exhibited that the cutting force and temperature were primarily influenced by the cutting speed and the surface roughness was afflicted mostly by the feed.

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Section: Effect Of Cutting Parameter and Nano-fluid Condition For Thementioning

confidence: 99%

Modeling and performance evaluation of Al2O3, MoS2 and graphite nanoparticle-assisted MQL in turning titanium alloy: an intelligent approach

Gupta

Mia

Pruncu

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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“…The authors also suggested focusing on the further studies of the application of MQL with hybrid nanofluids. Singh, R.K. et al [30] evaluated the performance of alumina-graphene hybrid nanofluid in hard turning. The experimental results revealed that the addition of graphene in alumina nanofluid enhanced the performance of hybrid nanofluids.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of MQL Parameters Using Al2O3 and MoS2 Nanofluids in Hard Turning 90CrSi Steel

2019

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Hard machining has gained much attention to be an alternative solution for many traditional finish grinding operations due to high productivity, ease to adapt to complex part contours, the elimination of cutting fluids, good surface quality, and the reduction of machine tool investment. However, the enormous amount of heat generated from the cutting zone always requires the high-grade inserts and limits the cutting conditions. The MQL technique with nanofluids assisted for hard machining helps to improve the cutting performance while ensuring environmentally friendly characteristics. This paper focuses on the development of MQL technique by adding Al2O3 and MoS2 nanoparticles to the base fluids (soybean oil and water-based emulsion) for the hard turning of 90CrSi steel (60÷62 HRC). The analysis of variance (ANOVA) is used to evaluate the performance of MQL parameters in terms of cutting forces and surface roughness. The study reveals that a better performance of coated carbide inserts is observed by using MQL with Al2O3 and MoS2 nanofluids. In addition, the fluid type, nanoparticles and nanoparticle concentration have a strong effect on cutting performance. The interaction influence among the investigated variables is also studied in order to provide the technical guides for further studies using Al2O3 and MoS2 nanofluids.

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“…Studies showed that blending of graphite nanoparticles with base fluid enhances its tribological properties because of the lower friction coefficient [15], while MoS 2 and graphite solid lubricants reduce the surface roughness and the cutting force during machining [16]. Researchers also observed improved surface quality and reduction of the tool wear, cutting force, and chip thickness compared to dry and conventional wet machining [17,18]. Additionally, Amrita et al [19] showed that MQL method reduced the surface roughness, cutting force, cutting temperature and tool wear by 30%, 54%, 25% and 71%, respectively in comparison to conventional wet machining.…”

Section: Introductionmentioning

confidence: 99%

Influence of alumina/MWCNT hybrid nanoparticle additives on tribological properties of lubricants in turning operations

et al. 2018

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A hybrid lubricant with improved thermal and tribological properties was developed by blending multiwalled carbon nanotubes (MWCNTs) with alumina-based nanoparticles into cutting fluid at fixed volumetric proportions (10:90). The hybrid cutting fluid was prepared in different volumetric concentrations (0.25, 0.75, and 1.25 vol%), and the tribological properties and contact angles were measured using pin-on-disc tribometry and goniometry, respectively. The study showed a reduction in wear and friction coefficient with increasing nanoparticle concentration. The cutting fluid performance was investigated using minimum quantity lubrication (MQL) in the turning of AISI 304 stainless steel. Regression models were developed for measuring the temperature and tool flank wear in terms of cutting speed, feed, depth of the cut, and nanoparticle concentration using response surface methodology. The developed hybrid nanolubricants significantly reduced the tool flank wear and nodal temperature by 11% and 27.36%, respectively, as compared to alumina-based lubricants. Friction 7(2): 153-168 (2019) | https://mc03.manuscriptcentral.com/friction Friction 7(2): 153-168 (2019) | https://mc03.manuscriptcentral.com/frictionFriction 7(2): 153-168 (2019)

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Performance evaluation of alumina-graphene hybrid nano-cutting fluid in hard turning

Cited by 198 publications

References 47 publications

Modeling and performance evaluation of Al2O3, MoS2 and graphite nanoparticle-assisted MQL in turning titanium alloy: an intelligent approach

Modeling and performance evaluation of Al2O3, MoS2 and graphite nanoparticle-assisted MQL in turning titanium alloy: an intelligent approach

Performance Evaluation of MQL Parameters Using Al2O3 and MoS2 Nanofluids in Hard Turning 90CrSi Steel

Influence of alumina/MWCNT hybrid nanoparticle additives on tribological properties of lubricants in turning operations

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