Experimental Investigation on Turning of Monel K500 Alloy Using Nano Graphene Cutting Fluid Under Minimum Quantity Lubrication

2019 ◽  
Author(s):  
Arul Kulandaivel ◽  
Senthil Kumar Santhanam
Keyword(s):  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
High Strength ◽  
High Heat ◽  
Water Soluble ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Machining Processes ◽  
Turning Operation ◽  
Minimum Quantity

Abstract Turning operation is one of the most commonly used machining processes. However, turning of high strength materials involves high heat generation which, in turn, results in undesirable characteristics such as increased tool wear, irregular chip formation, minor variations in physical properties etc. In order to overcome these, synthetic coolants are used and supplied in excess quantities (flood type). The handling and disposal of excess coolants are tedious and relatively expensive. In this proposed work, Water Soluble Cutting Oil suspended with nanoparticles (Graphene) is used in comparatively less quantities using Minimum quantity lubrication (MQL) method to improve the quality of machining. The testing was done on Turning operation of Monel K500 considering the various parameters such as the cutting speed, feed and depth of cut for obtaining a surface roughness of 0.462μm and cutting tool temperature of 55°C for MQL-GO (Graphene oxide) process.

scholarly journals Nanofluid-based Minimum Quantity Lubrication (MQL) Face Milling of Inconel 625

2019 ◽  
Vol 16 (3) ◽  
pp. 6874-6888
Author(s):  
P. Singh ◽  
J. S. Dureja ◽  
H. Singh ◽  
M. S. Bhatti
Keyword(s):  
Negative Impact ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
Face Milling ◽  
Cutting Fluid ◽  
Inconel 625 ◽  
Depth Of Cut ◽  
Base Oil ◽  
Minimum Quantity ◽  
Milling Parameters

Machining with minimum quantity lubrication (MQL) has gained widespread attention to boost machining performance of difficult to machine materials such as Ni-Cr alloys, especially to reduce the negative impact of conventional flooded machining on environment and machine operator health. The present study is aimed to evaluate MQL face milling performance of Inconel 625 using nano cutting fluid based on vegetable oil mixed with multi-walled carbon nanotubes (MWCNT). Experiments were designed with 2-level factorial design methodology. ANOVA test and desirability optimisation method were employed to arrive at optimised milling parameters to achieve minimum tool wear and machined surface quality. Experiments were performed under nanoparticles based minimum quantity lubrication (NMQL) conditions using different weight concentrations of MWCNT in base oil: 0.50, 0.75, 1, 1.25 and 1.5 wt. %; and pure MQL environment (without nanoparticles). The optimal MQL milling parameters found are cutting speed: 47 m/min, table feed rate: 0.05 mm/tooth and depth of cut: 0.20 mm. The results revealed improvement in the surface finish (Ra) by 17.33% and reduction in tool flank wear (VB) by 11.48 % under NMQL face milling of Inconel 625 with 1% weight concentration of MWCNT in base oil compared to pure MQL machining conditions.

Effect of Cutting Parameters on Minimum Quantity Lubrication Machining of High Strength Steel

2009 ◽  
Vol 626-627 ◽  
pp. 387-392 ◽  
Author(s):  
L.T. Yan ◽  
Song Mei Yuan ◽  
Qiang Liu
Keyword(s):  
Chip Formation ◽  
Feed Rate ◽  
High Strength Steel ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
High Strength ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Work Piece ◽  
Minimum Quantity

The cutting performance (tool wear, surface roughness of machined work-piece and chip formation)of wet, dry and Minimum Quantity Lubrication (MQL) machining when milling of high strength steel (PCrNi2Mo) using cemented carbide tools under different (cutting speed, depth of cut, feed rate) was analyzed. The experimental results showed that as the cutting speed, depth of cut and feed rate changed, MQL conditions provided the lowest flank wear and the highest surface quality. Chip formation produced under MQL conditions become more favorable in terms of color and shape. The results obtained prove the potential of using MQL technique in the milling process of high strength steel (PCrNi2Mo) for high cutting speed, feed rate and depth of cut.

scholarly journals Parametric analysis of turning HSLA steel under minimum quantity lubrication (MQL) and nanofluids-based minimum quantity lubrication (NF-MQL): a concept of one-step sustainable machining

2021 ◽  
Author(s):  
Hassan Javid ◽  
Mirza Jahanzaib ◽  
Muhammad Jawad ◽  
Muhammad Asad Ali ◽  
Muhammad Umar Farooq ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Removal Rate ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
High Strength ◽  
Process Efficiency ◽  
Depth Of Cut ◽  
Low Alloy Steels ◽  
Minimum Quantity ◽  
One Step

AbstractThe requirement of cost-effective and ecological production systems is crucial in the competitive market. In this regard, the focus is shifted towards sustainable and cleaner machining processes. Besides the clean technologies, effective parametric control is required for machining materials (such as High Strength Low Alloy Steels) specifically designed for high strength applications having superior physio-chemical properties. Therefore, the machinability complexities require optimized solutions to reduce temperature elevation and tooling costs and improve machining of these materials. Complying to the market needs, this research examines the effectiveness of nanofluid on tool life, wear mechanisms, surface roughness (Ra), surface morphology, and material removal rate (MRR) in turning of 30CrMnSiA (HSLA) using minimum quantity lubrication (MQL) and SiO2-H2O nanofluids (NF-MQL). A systematic investigation based on physical phenomena involved is carried out considering four process parameters (cutting speed (VC), feed rate (Fr), depth of cut (DOC), and mode of lubrication for machining. Fr is found as the vital parameter for surface roughness while MRR is highly influenced by DOC regardless of lubrication approach. One-step sustainability technique is applied, in which process variables used for roughing conditions are analogous to attain surface comparable to finished machining without compromising process efficiency and demonstrate its feasibility through optimal settings under NF-MQL. Multi-response optimization proved the NF-MQL machining condition as the best alternative which result in 28.34% and 5.09% improvements for surface roughness and MRR, respectively. Moreover, the use of SiO2 is recommended over MQL due to lower energy consumption, low tool wear, and better surface integrity, sustainable liquid, and related costs.

scholarly journals Effect of Minimum Quantity Lubrication System for Improving Surface Roughness in Turning Operation

2021 ◽  
Vol 6 (1) ◽  
pp. 50-59
Author(s):  
Shazzad Hossain ◽  
Mohammad Zoynal Abedin
Keyword(s):  
Surface Roughness ◽  
Minimum Quantity Lubrication ◽  
Numerical Data ◽  
Cutting Parameters ◽  
Cutting Fluid ◽  
Turning Operation ◽  
Minimum Quantity ◽  
Dimensional Deviation ◽  
Optimum Cutting ◽  
Cutting Zone

Due to increase in temperature at the cutting zone, the tool wear and surface roughness along with the non-uniform chip formation and the dimensional deviation of the job by using the conventional cutting fluid, the machining operation experts have directed their concentrations in order to achieve a smooth machining operation by using minimum quantity lubrication (MQL). As a consequence, numerous efforts can be seen for not only having the optimum cutting parameters but also other parameters that enhance the product quality and the surface roughness. In this regard, relevant experimental and numerical data outcomes not only MQL but also conventional cutting fluid (CCF) in the turning operation of 50HRC steel has been investigated experimentally. It is revealed that the surface roughness becomes optimal and significantly reduced for the condition of MQL with that of dry and conventional flood lubrication.

scholarly journals Pengaruh Metode Minimum Quantity Lubrication (MQL) Terhadap Nilai Kekasaran Permukaan

Rekayasa ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 125-129
Author(s):  
Dicky Aprilian Nugraha ◽  
Rika Dwi Hidayatul Qoryah ◽  
Mahros Darsin
Keyword(s):  
Surface Roughness ◽  
Minimum Quantity Lubrication ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Fluid Composition ◽  
Machined Surface ◽  
Minimum Quantity ◽  
Flood Depth ◽  
Roughness Analysis ◽  
Machined Surface Roughness

Sebuah alat kendali semprotan cutting fluid pada minimum quantity lubrication (MQL) telah berhasil dibuat. Alat yang bekerja dengan sistem Arduino ini dihubungkan dengan sensor suhu yang diletakkan pada sisi pahat dan berhasil mengendalikan kapan cutting fluid harus disemprotkan dan kapan harus berhenti. Tujuan dari penelitian ini adalah untuk mempelajari efek penggunaan alat kendali ini terhadap kekasaran permukaan pada pembubutan baja AISI 4340. Metode Taguchi L9 digunakan untuk menyusun desain eksperimen dengan variasi parameter: metode pemberian cutting fluid, kedalaman permukaan dan komposisi campuran cutting fluid. Pahat sisipan berbahan karbida digunakan untuk memesin lurus dan roughness tester digunakan untuk mengukur kekesaran permukaan hasil pembubutan. Analisis S/N ratio dilanjutkan dengan analisis varians (ANAVA) membuktikan bahwa metode MQL yang dilengkapi sistem kendali ini mampu menghasilkan rata-rata permukaan paling halus dibandingkan metode lain. Nilai kekasaran optimum sebesar 1,941 µm diperoleh pada kombinasi permesinan dengan MQL dengan sistem kendali, depth of cut 2,0 mm, dan komposisi air terhadap minyak pada cutting fluid 7:3Effect of Minimum Quantity Lubrication (MQL) Method on Surface RoughnessA device to control the spraying of cutting fluid in minimum quantity lubrication (MQL) has been initiated. This device was programmed with Ardunio and connected to a thermal sensor which is stick on the flank face of the tool. It succeeded in controlling when the cutting fluid should be sprayed and stopped. This research aim is to investigate the effect of using this device to the machined surface roughness. The Taguchi method L9 was used for designing the experiments. Variations were made on the method of applying cutting flood, depth of cut, and cutting fluid composition. Carbide insert tools were used and roughness tester was employed to measure the machined surface roughness. Analysis of S/N ratio following with analysis of variance (ANOVA) revealed that the controlled MQL cooling application results in the minimum surface roughness. The optimum surface roughness would be achieved when using MQL with temperature controller, depth of cut of 2.0 mm, and composition between water and oil for cutting fluid of 7:3.

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

Materials ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 3828 ◽  
Author(s):  
Nelson Wilson Paschoalinoto ◽  
Gilmar Ferreira Batalha ◽  
Ed Claudio Bordinassi ◽  
Jorge Antonio Giles Ferrer ◽  
Aderval Ferreira de Lima Filho ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Experimental Design ◽  
Feed Rate ◽  
Minimum Quantity Lubrication ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Minimum Quantity ◽  
Dependent Variables ◽  
Artificial Neural

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.

scholarly journals Application of Eco-Friendly Cutting Fluids Through Small Quantity Lubrication Technique: A Study

2018 ◽  
Vol 7 (2) ◽  
pp. 116-120
Author(s):  
Amrit Pal ◽  
Hazoor Singh Sidhu
Keyword(s):  
Minimum Quantity Lubrication ◽  
Colloidal Suspensions ◽  
Nano Particles ◽  
Cutting Fluid ◽  
Superior Performance ◽  
Cutting Fluids ◽  
Machining Performance ◽  
Machining Processes ◽  
Minimum Quantity ◽  
Nano Fluids

Owing to environmental concerns and growing regulations over contamination and pollution, the demand for renewable and biodegradable cutting fluids is rising. The aim of this paper is to review the eco-friendly and user-friendly minimum quantity lubrication (MQL) technique using vegetable-based oil and solid lubricant in different machining processes. It has been reported in various literature that the minimum quantity lubrication (MQL) method using vegetable oil-based cutting fluid shows superior performance as compared to dry and wet machining. The major benefits of MQL are reduction of consumption of cutting fluid, cost saving, reduction of impact to the environment and improved overall performances in cutting operation and the surface quality. To achieve improved thermal conductivity researchers focused attention on nano fluids. Nano fluids are nano-metered sized colloidal suspensions in the base fluid like water, oil, glycol, etc. The application of nano fluid controls the tool wear by reducing the temperature. Impingement of the nano-particles with high pressure in MQL enables entry of nano-particles at the tool chip interface. Thus it reduces the coefficient of friction and improves machining performance significantly.

scholarly journals Study of a Multicriterion Decision-Making Approach to the MQL Turning of AISI 304 Steel Using Hybrid Nanocutting Fluid

Materials ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7207
Author(s):  
Vineet Dubey ◽  
Anuj Kumar Sharma ◽  
Prameet Vats ◽  
Danil Yurievich Pimenov ◽  
Khaled Giasin ◽  
...  
Keyword(s):  
Decision Making ◽  
Surface Roughness ◽  
Feed Rate ◽  
Minimum Quantity Lubrication ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Aisi 304 ◽  
Minimum Quantity ◽  
Aisi 304 Steel ◽  
Multicriterion Decision Making

The enormous use of cutting fluid in machining leads to an increase in machining costs, along with different health hazards. Cutting fluid can be used efficiently using the MQL (minimum quantity lubrication) method, which aids in improving the machining performance. This paper contains multiple responses, namely, force, surface roughness, and temperature, so there arises a need for a multicriteria optimization technique. Therefore, in this paper, multiobjective optimization based on ratio analysis (MOORA), VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and technique for order of preference by similarity to ideal solution (TOPSIS) are used to solve different multiobjective problems, and response surface methodology is also used for optimization and to validate the results obtained by multicriterion decision-making technique (MCDM) techniques. The design of the experiment is based on the Box–Behnken technique, which used four input parameters: feed rate, depth of cut, cutting speed, and nanofluid concentration, respectively. The experiments were performed on AISI 304 steel in turning with minimum quantity lubrication (MQL) and found that the use of hybrid nanofluid (Alumina–Graphene) reduces response parameters by approximately 13% in forces, 31% in surface roughness, and 14% in temperature, as compared to Alumina nanofluid. The response parameters are analyzed using analysis of variance (ANOVA), where the depth of cut and feed rate showed a major impact on response parameters. After using all three MCDM techniques, it was found that, at fixed weight factor with each MCDM technique, a similar process parameter was achieved (velocity of 90 m/min, feed of 0.08 mm/min, depth of cut of 0.6 mm, and nanoparticle concentration of 1.5%, respectively) for optimum response. The above stated multicriterion techniques employed in this work aid decision makers in selecting optimum parameters depending upon the desired targets. Thus, this work is a novel approach to studying the effectiveness of hybrid nanofluids in the machining of AISI 304 steel using MCDM techniques.

scholarly journals A Study of Chip Formation on Turning with Minimum Quantity Lubrication Method (MQL)

2020 ◽  
Vol 8 (1) ◽  
pp. 256-269
Author(s):  
Rika Dwi Hidayatul Qoryah ◽  
Agil Widhy Azizi ◽  
Mahros Darsin
Keyword(s):  
Taguchi Method ◽  
Chip Formation ◽  
Minimum Quantity Lubrication ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Fluid Composition ◽  
Cutting Fluids ◽  
Tool Temperature ◽  
Minimum Quantity ◽  
Iso 14000

The cutting fluid is one of the essential factors in machining to increase machinability. The issuance of ISO 14000 about reducing the use of cutting fluid for its danger for operator and environment has encouraged many researchers to find ways to minimize its use. The Minimum Quantity Lubrication (MQL) is an answer to it.  To further reduce the use of cutting fluid, a device that complies with MQL criteria for controlling the spray based on the tool temperature has successfully designed. This paper is discussing the effect of applying this device to the chips formation. The experiments were on turning of AISI 4340 using carbide tools. The Taguchi method L9 used to design the experiments. The variations made on the method of applying the cutting fluid, depth of cut, and cutting fluid composition. The chips formation was calculated based on the value of the degree of serration. Analysis of the S/N ratio, followed by ANOVA, revealed that the cutting fluids application method is the least factor affecting the chips formation. In contrast, the depth of cut influences the chips formation by 75 per cent more. The highest degree of serration achieved when applying the combination of depth of cut of 1.8 mm, the composition of 5:5, and flood method of applying cutting fluid.

Application of Minimum Quantity Lubrication for Drum High Clutch in Turning Process

2019 ◽  
Vol 947 ◽  
pp. 160-166
Author(s):  
Nutrada Khumjeen ◽  
Somkiat Tangjitsitcharoen
Keyword(s):  
Tool Life ◽  
Feed Rate ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
Cutting Fluid ◽  
Cutting Condition ◽  
Turning Process ◽  
Minimum Quantity

The turning Process is the main processes used in automotive parts from more productivity, it requires the cutting velocity and feed rate high. And from those cutting, it causes high temperatures on cutting and a tool life of cutting tools decreased. Therefore using of cutting fluid (Coolant) is one of the commonly used methods to reduce temperatures that occur while cutting, reducing the wear of cutting tool and helps extend the tool life of the cutting tool. However, cutting fluid it's not always a good way, from the high cost and environmental problems issues. Using the MQL technique is one of the alternatives that using more nowadays to solve the above mentioned problems. This research proposed a MQL technique substitution of cutting fluid that using in the current process by applying in order to obtain the proper cutting condition for carbon steel material grade SAPH370 with the carbide cutting tool. The cutting conditions will acceptable from the minimum quantity of lubricant and the maximum of tool life of cutting tool under surface roughness (Ra) is less than 1.2 μm. The proper cutting condition determined at a feed rate of 0.10 mm/rev, a cutting speed of 300 m/min and a flow rate of 5ml/hr.

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