Performance appraisal of various nanofluids during hard machining of AISI 4340 steel

Das, Anshuman; Pradhan, Omprakash; Patel, Saroj Kumar; Das, Sudhansu Ranjan; Biswal, Bibhuti Bhusan

doi:10.1016/j.jmapro.2019.07.023

Cited by 59 publications

(25 citation statements)

References 20 publications

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“…Moreover, the CuO nanoparticles might provide the lessened chip thickness due to the spherical shape of CuO nanoparticles that might offer a cushion effect. This effect explained how the nanoparticles absorbed the abrupt impact that diminished the cutting force fluctuations 33) . Fig.…”

Section: Chip Thicknessmentioning

confidence: 93%

Performance Comparative of Modified Jatropha Based Nanofluids in Orthogonal Cutting Process

Jamaluddin¹,

Talib²,

Sani³

2021

Evergreen

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As machining operation is getting crucial, thus nanotechnology has been considered in providing more effective performance to reduce friction coefficient and wear protection of both workpiece and tool. This study investigated effect of an inclusion of solid nanoparticle additives such hexagonal boron nitride (hBN), graphene, copper oxide (CuO) at 0.05 wt.% concentration in modified jatropha (MJO) based oil. The performance of nanofluids was evaluated by conducting friction and wear test via four-ball test as well as machining process through orthogonal cutting process. The attained results were then compared with synthetic ester. This present study revealed the MJO nanofluids (MJO + 0.05 wt.% hBN, MJO + 0.05 wt.% graphene and MJO + 0.05 wt.% CuO) showed higher lubrication performance as compared to the commercial synthetic ester in term of physical properties and tribological behaviour. This condition resulted in the excellent machining performance which was explained by the reduction in maximum cutting temperature, chip thickness, effect of morphology chip and tool-chip contact length. Therefore, the MJO nanofluids can be considered as a potential sustainable metalworking fluid to replace the usage of the currently used synthetic ester in machining operation.

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Section: Chip Thicknessmentioning

confidence: 93%

Performance Comparative of Modified Jatropha Based Nanofluids in Orthogonal Cutting Process

Jamaluddin¹,

Talib²,

Sani³

2021

Evergreen

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“…The presence of high percentage of oxygen in Al2O3 caused significant weight percentage found during machining process and leads to improper cooling thus, crater wear and flank wear take place faster. According Das et al, CuO nanofluid has superior behavior compared to the other nanofluids while Al2O3 nanofluid was last in the row [57]. Table 4 Tool wears reduction when using different nanofluids…”

Section: Tool Wearmentioning

confidence: 98%

“…Das et al, in their research work; they compared ZnO, CuO, Fe2O3 and Al2O3, nanofluids to measure the reduction in tool wear [57]. They found out that the crater wear occur more in Al2O3 nanofluid than CuO nanofluid due to the high percentage of oxygen presence in Al2O3.…”

Section: Tool Wearmentioning

confidence: 99%

“…Flank wear occurs after 292 seconds of machining [24] MWCNT nanofluid with distilled water Average flank wear occurs at cutting length of 960 mm [48] Al2O3 with vegetable oil Up to 26.5% of flank wear reduced [57] ZnO, CuO, Fe2O3 and Al2O3, with distilled water Crater wear and flank wear reduced [50] Ethylene glycol based TiO2 Flank wear occurs after 940 mm cut length Figure 1 shows the nanofluid forming a thermal barrier between chip and cutting tool. According to Kadirgama et al, the small chip shows the presence of less aluminum percentage proves that the nanofluid is capable to carry away the heat generated due to the superior thermal conductivity properties [36].…”

Section: Authors Cutting Fluidmentioning

confidence: 99%

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Nanofluid as an Alternative Coolant in Machining: A Review

Kadirgama¹

2020

ARFMTS

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This review paper is concerned about the important of nanofluid in machining. It is discussed in several parts such as cutting force, surface roughness, tool life and tool wear. Various type of nanofluid is discussed in this paper with an effect on the surface roughness, force, tool life, and wear. Nanofluid plays a significant role in the increment of tool life and reducing tool wear. Nanofluid creates an artificial layer on top of the workpiece, and this reduces wear at the cutting tool. It seems that nanofluid can be the next alternative coolant in machining.

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“…Today, wide range of hard materials need to be machined due to their high potential in industrial applications (Davim, 2011). Since their machining is difficult compared to conventional materials, many attempts have been made previously (Das, Pradhan, Patel, Das, & Biswal, 2019;Kene & Choudhury, 2019;Sun, Brandt, & Dargusch, 2010). Typically, poor surface roughness and reduced tool life are characterized features of low machinability of hard metals.…”

Section: Introductionmentioning

confidence: 99%

Surface Roughness Evaluation in Milling of Strenx 1100 Steel under MQL Conditions

Kuntoğlu¹

2021

European Journal of Science and Technology

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Strenx 1100 is one of the most important structural steel characterized by upmost mechanical properties, generally preferred for loadbearing applications at many engineering fields such as marine and crane. Minimum quantity lubrication (MQL) is a method that presents sustainable machining with applying pulverized oil into the cutting zone, proved it by obtaining better machinability characteristics compared to conventional approaches. Surface roughness is a response parameter reflects the quality of a machined part in a certain degree which should be produced as per the industrial requirements. This paper focuses on the surface roughness (Ra) evaluation of Strenx 1100 steel during milling under MQL conditions. Taguchi design of experiments were utilized with combining three levels of cutting speed (vC), feed rate (f) and depth of cut (aP) in order to create L9 orthogonal array. The findings are discussed using analysis of variance (ANOVA), signal-to-noise ratio (S/N) based optimization and 3d surface plots. According to the results, it is observed that the first level of cutting parameters namely vC=75 m/min, f=0.075 mm/rev and aP=0.25 mm need to be selected for optimization of response parameter while feed rate has more influence (66.9%) than depth of cut (22.5%) and cutting speed (0.4%) on surface roughness. Graphical representations exhibit the general trend of surface roughness which provides chance to selection of accurate cutting conditions for required response value.

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Performance appraisal of various nanofluids during hard machining of AISI 4340 steel

Cited by 59 publications

References 20 publications

Performance Comparative of Modified Jatropha Based Nanofluids in Orthogonal Cutting Process

Performance Comparative of Modified Jatropha Based Nanofluids in Orthogonal Cutting Process

Nanofluid as an Alternative Coolant in Machining: A Review

Surface Roughness Evaluation in Milling of Strenx 1100 Steel under MQL Conditions

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