scholarly journals Investigations on the effect of silver nanoparticles on performance of coconut oil based cutting fluid in minimal fluid application

2022 ◽  
Vol 14 (1) ◽  
pp. 168781402110704
Author(s):  
Rengiah Robinson Gnanadurai ◽  
Solomon Mesfin
Keyword(s):  
Silver Nanoparticles ◽  
Cutting Temperature ◽  
Coconut Oil ◽  
Tribological Performance ◽  
Cutting Performance ◽  
Cutting Fluid ◽  
Sustainable Machining ◽  
Cooling And Lubrication ◽  
Aisi4340 Steel ◽  
Minimal Fluid

In this work, an innovative nanocutting fluid, based on coconut oil was developed by dispersing silver nanoparticles (AgNPs) of size less than 50 nm. The tribological and physical properties of the prepared nanocutting fluid with different volumes of silver nanoparticles were studied. It was found that the addition of 4% by volume of nanoparticles enhanced the properties of the nanocutting fluid compared to the other concentrations studied, thus demonstrating its excellent tribological performance. The effect of the newly developed nanocutting fluid with 4% of silver nanoparticles on cutting performance was also investigated while machining AISI4340 steel with minimal fluid application. Results revealed that the cutting force, cutting temperature, and tool wear are reduced on an average by 22.6%, 12.6%, and 5.3% respectively. It was evident that efficient cooling and lubrication of nanocutting fluid dispersed with silver nanoparticles improved the cutting performance. The outcomes of this work can be considered as a development toward eco-friendly and sustainable machining.

Experimental Investigation of Soyabean Oil Based Cutting Fluid during Turning of Hardened AISI 4340 Steel with Minimal Fluid Application

2015 ◽  
Vol 813-814 ◽  
pp. 337-341 ◽  
Author(s):  
Anil Raj ◽  
K. Leo Dev Wins ◽  
Kiran Easow George ◽  
A.S. Varadarajan
Keyword(s):  
Cutting Temperature ◽  
Hardened Steel ◽  
Soya Bean ◽  
Cutting Performance ◽  
Cutting Fluid ◽  
Taguchi Technique ◽  
Oil Emulsion ◽  
Water In Oil Emulsion ◽  
Aisi4340 Steel ◽  
Minimal Fluid

Turning of hardened steel is normally carried out with copious supply of cutting fluid to improve the cutting performance. Most of the cutting fluids in regular use are petroleum based emulsions which create several environmental problems. In this context, pure dry turning is a logical alternative as it is free from the problems associated with the cutting fluid. The achievable tool life and part finish are often affected while machining under completely dry condition. Under such situation, the concept of minimal cutting fluid application (MCFA) presents itself as a possible solution. In this study an effort was made to study the effect of soya bean oil based cutting fluid on cutting performance with minimal cutting fluid application during turning of hardened AISI4340 steel. An 18 run experiment was designed using Taguchi technique to study the effect of fluid application parameters on cutting temperature and surface roughness. Improvement in cutting performance was observed in terms of reduction in cutting temperature and improvement in surface finish (Ra) when water in oil emulsion of soya bean oil was used as the cutting fluid.

Graphene Oxide Colloidal Suspensions as Cutting Fluids for Micromachining: Part 1 — Fabrication and Performance Evaluation

2015 ◽  
Author(s):  
Bryan Chu ◽  
Eklavya Singh ◽  
Johnson Samuel ◽  
Nikhil Koratkar
Keyword(s):  
Graphene Oxide ◽  
Cutting Temperature ◽  
Colloidal Suspensions ◽  
Cutting Fluid ◽  
Droplet Spreading ◽  
Bulk Fluid ◽  
Graphene Layers ◽  
Lubrication Performance ◽  
Cooling And Lubrication ◽  
Lateral Length

This paper is aimed at investigating the effects of graphene oxide platelet (GOP) geometry (i.e., lateral size and thickness) and oxygen functionalization on the cooling and lubrication performance of GOP colloidal suspensions. The techniques of thermal reduction and ultrasonic exfoliation were used to manufacture three different types of GOPs. For each of these three types of GOPs, colloidal solutions with GOP concentrations varying between 0.1–1 wt% were evaluated for their dynamic viscosity, thermal conductivity and micromachining performance. The ultrasonically-exfoliated GOPs (with 2–3 graphene layers and lowest in-solution characteristic lateral length of 120 nm) appear to be the most favorable for micromachining applications. Even at the lowest concentration of 0.1 wt%, they are capable of providing a 51% reduction in the cutting temperature and a 25% reduction in the surface roughness value over that of the baseline semi-synthetic cutting fluid. For the thermally-reduced GOPs (with 4–8 graphene layers and in-solution characteristic lateral length of 562–2780 nm), a concentration of 0.2 wt% appears to be optimal. The findings suggest that the differences seen between the colloidal suspensions in terms of their droplet spreading, evaporation and the subsequent GOP film-formation characteristics may be better indicators of their machining performance, as opposed to their bulk fluid properties.

Cutting Temperature Measurement During Titanium Machining With an Atomization–Based Cutting Fluid (ACF) Spray System

2013 ◽  
Author(s):  
Alexander C. Hoyne ◽  
Chandra Nath ◽  
Shiv G. Kapoor
Keyword(s):  
Temperature Gradient ◽  
Cutting Temperature ◽  
Cutting Fluid ◽  
Extreme Temperatures ◽  
Dry Machining ◽  
Lubrication Mechanism ◽  
Spray System ◽  
Titanium Machining ◽  
System Temperature ◽  
Cooling And Lubrication

The poor thermal conductivity and low elongation–to–break ratio of titanium lead to the development of extreme temperatures localized in the tool–chip interface during machining of its alloys and cause accelerated tool wear. The atomization–based cutting fluid (ACF) spray system has recently been demonstrated to improve tool life in titanium machining. In order to understand the cooling and lubrication mechanism of the ACF spray system, it is important to determine the temperature gradient developed inside the entire tool–chip interface. The objective of this work is to measure the cutting temperatures at various locations inside the tool–chip interface during titanium machining with the ACF spray system. The temperature gradient and mean cutting temperature are measured using the inserted and the tool–work thermocouple techniques, respectively. Cutting temperatures for dry machining and machining with flood cooling are also characterized for comparison with the ACF spray system temperature data. Findings reveal that the ACF spray system more effectively reduces cutting temperatures over flood cooling. The tool–chip friction coefficient data indicate that the fluid film created by the ACF spray system also actively penetrates the tool–chip interface to enhance lubrication during titanium machining, especially as the tool wears.

Graphene Oxide Colloidal Suspensions as Cutting Fluids for Micromachining—Part I: Fabrication and Performance Evaluation

2015 ◽  
Vol 3 (4) ◽  
Author(s):  
Bryan Chu ◽  
Eklavya Singh ◽  
Johnson Samuel ◽  
Nikhil Koratkar
Keyword(s):  
Graphene Oxide ◽  
Cutting Temperature ◽  
Colloidal Suspensions ◽  
Cutting Fluid ◽  
Droplet Spreading ◽  
Bulk Fluid ◽  
Graphene Layers ◽  
Lubrication Performance ◽  
Cooling And Lubrication ◽  
Lateral Length

This paper is aimed at investigating the effects of graphene oxide platelet (GOP) geometry (i.e., lateral size and thickness) and oxygen functionalization on the cooling and lubrication performance of GOP colloidal suspensions. The techniques of thermal reduction and ultrasonic exfoliation were used to manufacture three different types of GOPs. For each of these three types of GOPs, colloidal solutions with GOP concentrations varying between 0.1 and 1 wt.% were evaluated for their dynamic viscosity, thermal conductivity, and micromachining performance. The ultrasonically exfoliated GOPs (with 2–3 graphene layers and lowest in-solution characteristic lateral length of 120 nm) appear to be the most favorable for micromachining applications. Even at the lowest concentration of 0.1 wt.%, they are capable of providing a 51% reduction in the cutting temperature and a 25% reduction in the surface roughness value over that of the baseline semisynthetic cutting fluid. For the thermally reduced GOPs (TR GOPs) (with 4–8 graphene layers and in-solution characteristic lateral length of 562–2780 nm), a concentration of 0.2 wt.% appears to be optimal. The findings suggest that the differences seen between the colloidal suspensions in terms of their droplet spreading, evaporation, and the subsequent GOP film-formation characteristics may be better indicators of their machining performance, as opposed to their bulk fluid properties.

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

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.

Sustainable machining. Modeling and optimization of temperature and surface roughness in the milling of AISI D2 steel

2019 ◽  
Vol 71 (2) ◽  
pp. 267-277 ◽  
Author(s):  
Aqib Mashood Khan ◽  
Muhammad Jamil ◽  
Ahsan Ul Haq ◽  
Salman Hussain ◽  
Longhui Meng ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Empirical Modeling ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Aisi D2 Steel ◽  
Content Type ◽  
Sustainable Machining ◽  
Aisi D2 ◽  
D2 Steel

Purpose Sustainable machining is a global consensus and the necessity to cope up the serious environmental threats. Minimum quantity lubrication (MQL) and nanofluids-based MQL(NFMQL) are state-of-the-art sustainable lubrication modes. The purpose of this study is to investigate the effect of process parameters, such as feed rate, depth of cut and cutting fluid flow rate, on temperature and surface roughness of the manufactured pieces during face milling of the AISI D2 steel. Design/methodology/approach A statistical technique called response surface methodology with Box–Behnken Design was used to design experimental runs, and empirical modeling was presented. Analysis of variance was carried out to evaluate the model’s accuracy and the validation of the applied technique. Findings A comprehensive analysis revealed the superiority of implementing NFMQL in comparison to MQL within the levels of process parameters. The comparison has shown a significant reduction of temperature under NFMQL at the tool-workpiece interface from 16.2 to 34.5 per cent and surface roughness from 11.3 to 12 per cent. Practical implications This research is useful for practitioners to predict the responses in workshop and select appropriate cutting parameters. Moreover, this research will be helpful to reduce the resource which will ultimately save energy consumption and cost. Originality/value To cope with the industrial challenges and tribological issues associated with the milling of AISI D2 steel, experiments were conducted in a distinct machining mode with innovative cooling/lubrication. Until now, few studies have addressed the key lubrication effects of Al2O3-based nanofluid on the machinability of D2 steel under NFMQL lubrication condition.

scholarly journals Influence of Ultrasonic Vibration-Assisted Ball-End Milling on the Cutting Performance of AZ31B Magnesium Alloy

2020 ◽  
Vol 9 (4) ◽  
pp. 271-276
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Ultrasonic Vibration ◽  
Biomedical Applications ◽  
End Milling ◽  
Cutting Temperature ◽  
Cutting Performance ◽  
Machining Process ◽  
Dry Conditions ◽  
Good Biocompatibility

Magnesium alloys have a tremendous possibility for biomedical applications due to their good biocompatibility, integrity and degradability, but their low ignition temperature and easy corrosive property restrict the machining process for potential biomedical applications. In this research, ultrasonic vibration-assisted ball milling (UVABM) for AZ31B is investigated to improve the cutting performance and get specific surface morphology in dry conditions. Cutting force and cutting temperatures are measured during UVABM. Surface roughness is measured with a white light interferometer after UVABM. The experimental results show cutting force and cutting temperature reduce due to ultrasonic vibration, and surface roughness decreases by 34.92%, compared with that got from traditional milling, which indicates UVABM is suitable to process AZ31B for potential biomedical applications.

Development of Cutting Tools With Micro-Textured Surface for High Speed Machining of Ti-6Al-4V

2021 ◽  
Author(s):  
Mitsuru Hasegawa ◽  
Tatsuya Sugihara
Keyword(s):  
Tool Life ◽  
High Speed ◽  
Metal Cutting ◽  
Failure Process ◽  
Cutting Tools ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Cutting Fluid ◽  
Textured Surface ◽  
Textured Surfaces

Abstract In cutting of Ti-6Al-4V alloy, the cutting speed is limited since a high cutting temperature leads to severe tool wear and short tool life, resulting in poor production efficiency. On the other hand, some recent literature has reported that various beneficial effects can be provided by forming micro-textures on the tool surface in the metal cutting process. In this study, in order to achieve high-performance machining of Ti-6Al-4V, we first investigated the mechanism of the tool failure process for a cemented carbide cutting tool in high-speed turning of Ti-6Al-4V. Based on the results, cutting tools with micro textured surfaces were developed under the consideration of a cutting fluid action. A series of experiments showed that the textured rake face successfully decreases the cutting temperature, resulting in a significant suppression of both crater wear and flank wear. In addition, the temperature zone where the texture tool is effective in terms of the tool life in the Ti-6Al-4V cutting was discussed.

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