Investigation on the effect of hybrid nanofluid in MQL condition in orthogonal turning and a sustainability assessment

Usluer, Enes; Emiroglu, Uğur; Yapan, Yusuf Furkan; Kshitij, G.; Khanna, Navneet; Sarıkaya, Murat; Uysal, Alper

doi:10.1016/j.susmat.2023.e00618

Cited by 9 publications

(5 citation statements)

References 60 publications

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“…The effect of the MQL method with nanoparticles on the cutting force values is also confirmed by the study of Usluer et al [37]. Four cooling methods were used when turning S235JR steel: dry cutting, MQL, MQL with Multi-Walled Carbon Nanotubes (MWCNTs) at a concentration of 0.2%, MQL with MWCNTs and MoS 2 at concentrations of 0.1%.…”

Section: Introductionmentioning

confidence: 58%

Analysis of Power Grid Parameters Depending on the Variable Concentration and Size of Copper Nanoparticles and Aerosol Formation Parameters in the Minimum Quantity Lubrication Method During Turning of Ti6Al4V Titanium Alloy

Szczotkarz,

Maruda,

Leksycki

et al. 2023

Adv. Sci. Technol. Res. J.

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Titanium alloys belong to the group of difficult-to-cut materials, machining of which leads to a number of challenges including large thermal loads on the cutting inserts and difficulties in obtaining a high quality machined surface. Great cutting forces, in turn, result in increased energy consumption. Therefore, it becomes important to attempt to reduce the amount of power consumed during machining, which can be achieved, among other things, by reducing the value of the coefficient of friction in the cutting zone. This paper presents a study on the influence of the size as well as the Cu nanoparticle concentration added to cutting fluid in MQL method on the power grid parameters while turning of Ti6Al4V titanium alloy. In this research, nanoparticles of 22 nm and 65 nm at concentrations of 0.5 wt% and 0.75 wt% were used. Turning process was carried out with constant cutting parameters and variable aerosol formation parameters, i.e. mass flow rate of nanofluid and volumetric flow rate of air. Based on the study, the use of 22 nm nanoparticles at 0.5 wt% concentration is recommended to achieve the smallest monitored values of the power grid parameters. The statistical analysis revealed that, out of the aerosol formation parameters considered, both the air flow rate and nanofluid flow rate do not significantly affect the values of the analysed power network parameters. However, the most significant factor is the variable nanoparticle size.

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Section: Introductionmentioning

confidence: 58%

Analysis of Power Grid Parameters Depending on the Variable Concentration and Size of Copper Nanoparticles and Aerosol Formation Parameters in the Minimum Quantity Lubrication Method During Turning of Ti6Al4V Titanium Alloy

Szczotkarz,

Maruda,

Leksycki

et al. 2023

Adv. Sci. Technol. Res. J.

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“…Orthogonal experiments are efficient and cost-effective strategies that yield accurate and reliable results with fewer experimental trials [27]. In this study, three primary cutting parameters [28] were selected as the factors (H) that have a substantial impact on the cutting surface quality: depth of cut 𝐴 𝑝 , cutting speed 𝑣 , and temperature (ambient temperature 𝑇 𝑒 and initial temperature of the workpiece 𝑇 0 ).…”

Section: Orthogonal Turning Experiments Designmentioning

confidence: 99%

Extraction and Analysis of Surface Quality Characteristics of Turning Workpieces Based on Finite Element Methods

Chen,

Li,

Zou

et al. 2024

Preprint

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Selecting appropriate cutting parameters can enhance surface quality and extend component lifespan. In addressing challenges such as prolonged duration and low efficiency in multi-parameter turning experiments, constructing precise finite element models is the primary task. Subsequently, to obtain comprehensive distributions of the cutting force and temperature under various cutting parameters, an orthogonal turning experiment was designed, and numerical simulations were conducted. To acquire the surface roughness information of the machined surface, image processing techniques were introduced, encompassing surface mesh calibration, workpiece edge extraction, and edge fitting, with the aim of calculating surface roughness values based on the results of finite element simulation. An in-depth exploration of the interrelationships between the cutting parameters and cutting force, turning temperature, and surface roughness was conducted through range analysis and multiple-factor linear regression analysis. Consequently, a multivariate regression model was developed to address this relationship. Finally, the practical feasibility of the proposed method was verified through turning experiments. This study establishes a foundation for constructing linear regression models between workpiece surface quality and cutting parameters, and demonstrates the innovative application of image processing techniques to overcome the difficulties in obtaining and measuring workpiece surface quality.

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“…For example, Jawaid et al [59] determined that the extent of flank wear and cutting edge deformation of the cutting tool increased as the cutting speed increased in the turning of Ti-6246 titanium alloy. However, in terms of sustainable turning, decreasing the cutting speed increases the machining time, thus increasing the energy consumed, resulting in an increase in the total machining cost and carbon emissions [60]. As a result, increasing the cutting speed, reducing the feed rate, and using ultrasonic vibration-assisted machining offers the best results in terms of machining response and sustainability.…”

Section: Multi-criteria Decision Making With Topsismentioning

confidence: 99%

Experimental investigation and optimization of hybrid turning of Ti6Al7Nb alloy under nanofluid based MQL by TOPSIS method

DUMAN

2023

J Adv Manuf Eng

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The present work aims to decide on machining parameters and enhance machinability of the biomedical Ti6Al7Nb alloy using nanofluid MQL with nanoparticles of graphene (NMQL) and ultrasonic vibration assisted (UVA) machining methods were applied both separately and in a hybrid manner. Consequently, for the chosen cutting parameters, when compared to the conventional turning (CT) with vegetable cutting oil-based MQL, the UVA-NMQL hybrid method has achieved a reduction in cutting forces ranging from approximately 11% to 23%, a decrease in cutting temperatures by around 9% to 17%, and an enhancement in average surface roughness by roughly 15% to 53% across all the analyzed results compare to vegetable oil based conventional MQL turning conditions. Additionally, using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, the optimum cutting parameters were determined as UVA-NMQL cutting condition, 130 m/min cutting speed, and 0.1 mm feed value.

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Investigation on the effect of hybrid nanofluid in MQL condition in orthogonal turning and a sustainability assessment

Cited by 9 publications

References 60 publications

Analysis of Power Grid Parameters Depending on the Variable Concentration and Size of Copper Nanoparticles and Aerosol Formation Parameters in the Minimum Quantity Lubrication Method During Turning of Ti6Al4V Titanium Alloy

Analysis of Power Grid Parameters Depending on the Variable Concentration and Size of Copper Nanoparticles and Aerosol Formation Parameters in the Minimum Quantity Lubrication Method During Turning of Ti6Al4V Titanium Alloy

Extraction and Analysis of Surface Quality Characteristics of Turning Workpieces Based on Finite Element Methods

Experimental investigation and optimization of hybrid turning of Ti6Al7Nb alloy under nanofluid based MQL by TOPSIS method

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