Performance Evaluation of Vegetable Oil-Based Nano-Cutting Fluids in Environmentally Friendly Machining of Inconel-800 Alloy

Gupta, Munish Kumar; Jamil, Muhammad; Wang, Xiaojuan; Song, Qinghua; Liu, Zhanqiang; Mia, Mozammel; Hegab, Hussein; Khan, Aqib Mashood; Collado, Alberto Garcia; Pruncu, Catalin I.; Imran, G.M. Shah

doi:10.3390/ma12172792

Cited by 99 publications

(53 citation statements)

References 36 publications

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“…Apart from vibration-assisted cutting, the novel methods of machining related to hard-to-cut materials involve also the application of nano-cutting fluids. Gupta et al [7] employed different nano-cutting fluids (aluminum oxide (Al 2 O 3 ), molybdenum disulfide (MoS 2 ), and graphite) during the turning of the Inconel 800 alloy under the minimum quantity lubrication (MQL) conditions. The obtained results reveal that the MoS 2 -and graphite-based nanofluids can affect the improvement in cutting effects, especially at the high cutting speed values.…”

Section: Ofmentioning

confidence: 99%

Advances in Hard–to–Cut Materials: Manufacturing, Properties, Process Mechanics and Evaluation of Surface Integrity

2020

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The rapid growth of a modern industry results in a growing demand for construction materials with excellent operational properties. However, the improved features of these materials can significantly hinder their manufacturing, therefore they can be defined as hard–to–cut. The main difficulties during the manufacturing/processing of hard–to–cut materials are attributed to their high hardness and abrasion resistance, high strength at room or elevated temperatures, increased thermal conductivity, as well as their resistance to oxidation and corrosion. Nowadays the group of hard–to–cut materials includes the metallic materials, composites, as well as ceramics. This special issue, “Advances in Hard–to–Cut Materials: Manufacturing, Properties, Process Mechanics and Evaluation of Surface Integrity” provides a collection of research papers regarding the various problems correlated with hard–to–cut materials. The analysis of these studies reveals primary directions regarding the developments in manufacturing methods, and the characterization and optimization of hard–to–cut materials.

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Section: Ofmentioning

confidence: 99%

Advances in Hard–to–Cut Materials: Manufacturing, Properties, Process Mechanics and Evaluation of Surface Integrity

2020

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“…A recent study from Gupta et al [7] proved that inclusion of nanoparticles additives into base oil had better in machining performance due to their good tribological and cooling properties. In their study, turning operation of Inconel-800 Alloy was conducted by applying minimum quantity lubricant (MQL) system using sunflower oil as base oil and mixed with three types of nanoparticles additives which are molybdenum disulfide (MoS 2 ), graphite and aluminium dioxide (Al 2 O 3 ) at concentration of 3% respectively.…”

Section: Tribological Assessment Of Modified Jatropha Oil With Hbn Anmentioning

confidence: 99%

Tribological Assessment of Modified Jatropha Oil with hBN and Graphene Nanoparticles as a New Preference for the Metalworking fluid

Jamaluddin¹,

Talib²,

Sani³

2020

IJEAT

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Recently, manufacturing industries have concerned about the utilization of mineral-based metalworking fluids because of the numerous deleterious impacts on the health of workers and the environment as well as the shortage of mineral resources. Due to this scenario, the vegetable-based oils have emerged the researchers’ attention as a suitable replacement for the mineral based metalworking fluids since it is highly biodegradable, low toxicity and renewable resources. Nevertheless, the main problem of the utilization of the vegetable-based oils is that it shows poorer thermal and oxidative stability. The great development technologies had influenced the application of the nanofluids by adding the nanoparticles additives to the base oil as it gives better physical and properties, thus improved the tribological behavior. This study focuses on developing a new green synthesis and formulation of nanofluids from chemically modified jatropha oil by blending with nanoparticles additives such as hexagonal boron nitride (hBN) and graphene at the minimum concentrations (0.01, 0.025 and 0.05 wt.%). The physical testing such as kinematic viscosity, viscosity index and flash point were conducted and compared with commercial synthetic ester (SE). Then, tribological testing was performed by using four ball tribo test and analyses in terms of coefficient of friction, worn surface analysis and surface roughness. From the results, the sample of MJOs had showed an enhancement by providing higher viscosity index. The results demonstrate that MJOg2 provided the lowest coefficient of friction while MJOh3 and MJOg3 had smoother worn surface as it has lowest value of surface roughness in comparison with others sample. It can be concluded that the MJO samples have high potential substitution to mineral-based oil as a sustainable metalworking fluid in machining processes.

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“…Since heat generated during machining is a major problem, it is important to choose an adequate lubrication/cooling condition, to improve the machinability of a difficult-to-cut material [ 12 , 18 ]. The minimum quantity lubrication (MQL) is an attractive alternative solution for floods, which have occurred for decades and bring health risks to workers [ 17 , 19 ], and for dry machining, which can accelerate tool wear and the degradation of piece surface integrity [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

“…The authors in [ 9 ] used a backpropagation neural network (BPNN), and optimized the overall cutting performance during the high-speed turning of the Ti-6Al-4V alloy, and the results achieved a balance among all studied responses. The authors in [ 18 ] investigated the characteristics of different nano-cutting fluids, molybdenum disulfide, and graphite under MQL conditions, using Box–Cox transformation, normal probability plots, and analysis of variance (ANOVA) tests. The best choice for the application was chosen, and the machining characteristics of the Inconel-800 alloy were improved.…”

Section: Introductionmentioning

confidence: 99%

MQL Strategies Applied in Ti-6Al-4V Alloy Milling—Comparative Analysis between Experimental Design and Artificial Neural Networks

et al. 2020

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This paper presents a study of the Ti-6Al-4V alloy milling under different lubrication conditions, using the minimum quantity lubrication approach. The chosen material is widely used in the industry due to its properties, although they present difficulties in terms of their machinability. A minimum quantity lubrication (MQL) prototype valve was built for this purpose, and machining followed a previously defined experimental design with three lubrication strategies. Speed, feed rate, and the depth of cut were considered as independent variables. As design-dependent variables, cutting forces, torque, and roughness were considered. The desirability optimization function was used in order to obtain the best input data indications, in order to minimize cutting and roughness efforts. Supervised artificial neural networks of the multilayer perceptron type were created and tested, and their responses were compared statistically to the results of the factorial design. It was noted that the variables that most influenced the machining-dependent variables were the feed rate and the depth of cut. A lower roughness value was achieved with MQL only with the use of cutting fluid with graphite. Statistical analysis demonstrated that artificial neural network and the experimental design predict similar results.

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Performance Evaluation of Vegetable Oil-Based Nano-Cutting Fluids in Environmentally Friendly Machining of Inconel-800 Alloy

Cited by 99 publications

References 36 publications

Advances in Hard–to–Cut Materials: Manufacturing, Properties, Process Mechanics and Evaluation of Surface Integrity

Advances in Hard–to–Cut Materials: Manufacturing, Properties, Process Mechanics and Evaluation of Surface Integrity

Tribological Assessment of Modified Jatropha Oil with hBN and Graphene Nanoparticles as a New Preference for the Metalworking fluid

MQL Strategies Applied in Ti-6Al-4V Alloy Milling—Comparative Analysis between Experimental Design and Artificial Neural Networks

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