Pasteurisation extends cutting fluid life—but in vain?

This paper presents the findings of the stability, thermal conductivity and viscosity of CNTs (doped with 10 wt% graphene)- TiO2 hybrid nanofluids under various concentrations. While the usage of cutting fluid in machining operation is necessary for removing the heat generated at the cutting zone, the excessive use of it could lead to environmental and health issue to the operators. Therefore, the minimum quantity lubrication (MQL) to replace the conventional flooding was introduced. The MQL method minimises the usage of cutting fluid as a step to achieve a cleaner environment and sustainable machining. However, the low thermal conductivity of the base fluid in the MQL system caused the insufficient removal of heat generated in the cutting zone. Addition of nanoparticles to the base fluid was then introduced to enhance the performance of cutting fluids. The ethylene glycol used as the base fluid, titanium dioxide (TiO2) and carbon nanotubes (CNTs) nanoparticle mixed to produce nanofluids with concentrations of 0.02 to 0.1 wt.% with an interval of 0.02 wt%. The mixing ratio of TiO2: CNTs was 90:10 and ratio of SDBS (surfactant): CNTs was 10:1. The stability of nanofluid checked using observation method and zeta potential analysis. The thermal conductivity and viscosity of suspension were measured at a temperature range between 30˚C to 70˚C (with increment of 10˚C) to determine the relationship between concentration and temperature on nanofluid’s thermal physical properties. Based on the results obtained, zeta potential value for nanofluid range from -50 to -70 mV indicates a good stability of the suspension. Thermal conductivity of nanofluid increases as an increase of temperature and enhancement ratio is within the range of 1.51 to 4.53 compared to the base fluid. Meanwhile, the viscosity of nanofluid shows decrements with an increase of the temperature remarks significant advantage in pumping power. The developed nanofluid in this study found to be stable with enhanced thermal conductivity and decrease in viscosity, which at once make it possible to be use as nanolubricant in machining operation.

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Performance Analysis of Trihexyltetradecylphosphonium Chloride Ionic Fluid under MQL Condition in Hard turning

International Journal of Automotive and Mechanical Engineering ◽

10.15282/ijame.17.1.2020.12.0567 ◽

2020 ◽

Vol 17 (1) ◽

pp. 7629-7647

Author(s):

A. Pandey ◽

R. Kumar ◽

A. K. Sahoo ◽

A. Paul ◽

A. Panda

Keyword(s):

Material Removal Rate ◽

Feed Rate ◽

Material Removal ◽

Removal Rate ◽

Cutting Speed ◽

Coconut Oil ◽

Chip Morphology ◽

Weight Fraction ◽

Cutting Fluid ◽

Depth Of Cut

The current research presents an overall performance-based analysis of Trihexyltetradecylphosphonium Chloride [[CH3(CH2)5]P(Cl)(CH2)13CH3] ionic fluid mixed with organic coconut oil (OCO) during turning of hardened D2 steel. The application of cutting fluid on the cutting interface was performed through Minimum Quantity Lubrication (MQL) approach keeping an eye on the detrimental consequences of conventional flood cooling. PVD coated (TiN/TiCN/TiN) cermet tool was employed in the current experimental work. Taguchi’s L9 orthogonal array and TOPSIS are executed to analysis the influences, significance and optimum parameter settings for predefined process parameters. The prime objective of the current work is to analyze the influence of OCO based Trihexyltetradecylphosphonium Chloride ionic fluid on flank wear, surface roughness, material removal rate, and chip morphology. Better quality of finish (Ra = 0.2 to 1.82 µm) was found with 1% weight fraction but it is not sufficient to control the wear growth. Abrasion, chipping, groove wear, and catastrophic tool tip breakage are recognized as foremost tool failure mechanisms. The significance of responses have been studied with the help of probability plots, main effect plots, contour plots, and surface plots and the correlation between the input and output parameters have been analyzed using regression model. Feed rate and depth of cut are equally influenced (48.98%) the surface finish while cutting speed attributed the strongest influence (90.1%). The material removal rate is strongly prejudiced by cutting speed (69.39 %) followed by feed rate (28.94%) whereas chip reduction coefficient is strongly influenced through the depth of cut (63.4%) succeeded by feed (28.8%). TOPSIS significantly optimized the responses with 67.1 % gain in closeness coefficient.

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COMPARATIVE ANALYSIS OF PERFORMANCE BETWEEN CONVENTIONAL CUTTING FLUIDS AND VEGETABLE GLYCERINE BASED CUTTING FLUID IN STEEL 1020 TURNING OPERATION

10.26678/abcm.cobef2017.cof2017-1040 ◽

2017 ◽

Author(s):

Gustavo Fernandes ◽

Sanderson Clayton ◽

Bernardo Jakitsch ◽

Luis Henrique Andrade Maia ◽

Mariana Gomes ◽

...

Keyword(s):

Comparative Analysis ◽

Cutting Fluid ◽

Cutting Fluids ◽

Turning Operation ◽

Steel 1020 ◽

Analysis Of Performance

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Analysis of the influence of the hole depth on the geometric quality of the machined part, when the cutting fluid and the machining parameters are varied

10.26678/abcm.cobem2017.cob17-1834 ◽

2017 ◽

Author(s):

Eder Silva Costa ◽

Pedro Henrique Pires França ◽

Leonardo Rosa Ribeiro da Silva ◽

Wisley Sales ◽

Álisson Rocha Machado ◽

...

Keyword(s):

Cutting Fluid ◽

Machining Parameters ◽

Hole Depth ◽

Geometric Quality

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Studying The Effect of a New Mixed Cutting Fluid on Surface Roughness

Engineering and Technology Journal ◽

10.30684/etj.v38i11a.1516 ◽

2020 ◽

Vol 38 (11A) ◽

pp. 1593-1601

Author(s):

Mohammed H. Shaker ◽

Salah K. Jawad ◽

Maan A. Tawfiq

Keyword(s):

Surface Roughness ◽

Stainless Steel ◽

Cutting Parameters ◽

Machining Process ◽

Cutting Fluid ◽

Depth Of Cut ◽

Cutting Fluids ◽

Machining Processes ◽

Dry Cutting ◽

Cutting Speeds

This research studied the influence of cutting fluids and cutting parameters on the surface roughness for stainless steel worked by turning machine in dry and wet cutting cases. The work was done with different cutting speeds, and feed rates with a fixed depth of cutting. During the machining process, heat was generated and effects of higher surface roughness of work material. In this study, the effects of some cutting fluids, and dry cutting on surface roughness have been examined in turning of AISI316 stainless steel material. Sodium Lauryl Ether Sulfate (SLES) instead of other soluble oils has been used and compared to dry machining processes. Experiments have been performed at four cutting speeds (60, 95, 155, 240) m/min, feed rates (0.065, 0.08, 0.096, 0.114) mm/rev. and constant depth of cut (0.5) mm. The amount of decrease in Ra after the used suggested mixture arrived at (0.21µm), while Ra exceeded (1µm) in case of soluble oils This means the suggested mixture gave the best results of lubricating properties than other cases.

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Establishment of a Cutting Fluid Control System (Phase III)

10.21236/ada133280 ◽

1982 ◽

Cited By ~ 1

Author(s):

G. A. Lieberman

Keyword(s):

Control System ◽

Cutting Fluid ◽

Phase Iii ◽

Fluid Control ◽

System Phase

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A Review of Minimum Quantity Lubrication (MQL) based on Bibliometry

Current Materials Science ◽

10.2174/2666145413999201222104811 ◽

2020 ◽

Vol 13 ◽

Author(s):

Gaurav Gaurav ◽

Abhay Sharma ◽

G S Dangayach ◽

M L Meena

Keyword(s):

Descriptive Analysis ◽

Minimum Quantity Lubrication ◽

Citation Network ◽

Machining Process ◽

Cutting Fluid ◽

Future Research ◽

Research Directions ◽

Minimum Quantity ◽

Research Areas ◽

Future Research Directions

Background: Minimum quantity lubrication (MQL) is one of the most promising machining techniques that can yield a reduction in consumption of cutting fluid more than 90 % while ensuring the surface quality and tool life. The significance of the MQL in machining makes it imperative to consolidate and analyse the current direction and status of research in MQL. Objective: This study aims to assess global research publication trends and hot topics in the field of MQL among machining process. The bibliometric and descriptive analysis are the tools that the investigation aims to use for the data analysis of related literature collected from Scopus databases. Methods: Various performance parameters are extracted, such as document types and languages of publication, annual scientific production, total documents, total citations, and citations per article. The top 20 of the most relevant and productive sources, authors, affiliations, countries, word cloud, and word dynamics are assessed. The graphical visualisation of the bibliometric data is presented in terms of bibliographic coupling, citation, and co-citation network. Results: The investigation reveals that the International Journal of Machine Tools and Manufacture (2611 citations, 31 hindex) is the most productive journal that publishes on MQL. The most productive institution is the University of Michigan (32 publications), the most cited country is Germany (1879 citations), and the most productive country in MQL is China (124 publications). The study shows that ‘Cryogenic Machining’, ‘Sustainable Machining’, ‘Sustainability’, ‘Nanofluid’ and ‘Titanium alloy’ are the most recent keywords and indications of the hot topics and future research directions in the MQL field. Conclusion: The analysis finds that MQL is progressing in publications and the emerging with issues that are strongly associated with the research. This study is expected to help the researchers to find the most current research areas through the author’s keywords and future research directions in MQL and thereby expand their research interests.

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