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

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.

Rekayasa ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 125-129
Author(s):  
Dicky Aprilian Nugraha ◽  
Rika Dwi Hidayatul Qoryah ◽  
Mahros Darsin

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.


2021 ◽  
Vol 15 (2) ◽  
pp. 8042-8056
Author(s):  
Prashantha Kumar S T ◽  
Thirtha Prasada HP

Duplex stainless steel (DSS)-2205 comes under hard to machine material owing to its inherent properties but more applications in severe working conditions hence, selection of turning process parameters and suitable cutting fluids of DSS-2205 is essential. In the present work, investigate the performance of Deionized water, neat cut oil, and emulsified fluid on cutting temperature and surface roughness during turning of duplex stainless steel-2205 under minimum quantity lubrication technique. Based on a face-centered composite design, 20 experiments were conducted with varying speed, feed, and depth of cut in three levels for three different fluids. Analysis of variance (ANOVA) is used to identify significant parameters that affect the response. Numerical optimization was carried out under Desirability Function Analysis (DFA) for cutting temperature during deionized water cutting fluid for surface roughness during emulsified cutting fluid. Depth of cut is the significant factor for cutting temperature contribution is 74.83% during Deionized water as a fluid, and feed is the significant factor for surface roughness contribution is 93.57% during emulsified fluid. The optimum cutting parameters were determined for speed (50m/min), feed (0.051mm/rev) and depth of cut (0.4mm). Experimental results revealed that Deionized water gives better results for reduced the cutting temperature and emulsified fluid for surface roughness reduction.


Author(s):  
P. Singh ◽  
J. S. Dureja ◽  
H. Singh ◽  
M. S. Bhatti

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.


Author(s):  
Arul Kulandaivel ◽  
Senthil Kumar Santhanam

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.


2009 ◽  
Vol 626-627 ◽  
pp. 387-392 ◽  
Author(s):  
L.T. Yan ◽  
Song Mei Yuan ◽  
Qiang Liu

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.


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 ◽  
...  

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.


2018 ◽  
Vol 7 (2) ◽  
pp. 116-120
Author(s):  
Amrit Pal ◽  
Hazoor Singh Sidhu

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.


Materials ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7207
Author(s):  
Vineet Dubey ◽  
Anuj Kumar Sharma ◽  
Prameet Vats ◽  
Danil Yurievich Pimenov ◽  
Khaled Giasin ◽  
...  

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.


2021 ◽  
Vol 23 (04) ◽  
pp. 143-155
Author(s):  
Shrikant U. Gunjal ◽  
◽  
Sudarshan B. Sanap ◽  
Nilesh C. Ghuge ◽  
Satish Chinchanikar ◽  
...  

Cutting fluid is a vital part of the machining process. Cutting fluid is significantly applied tolower the friction and heat generated in the machining zone. It also helps in easy chip removal, protection against oxidation, tool life improvement, and an overall improvement in the quality of the product. The current industrial practices are majorly emphasized on mineral-based oil application under flood lubrication to achieve superior quality. However, these oils and techniques are toxic and environmentally unfriendly. Machining under dry or with minimum quantity lubrication (MQL) has been mostly preferred to eliminate the use of abundant oil. The current research work has established the promising potential for vegetable oils as a cutting fluid under MQL during turning of AISI 4130 steel. The results inferred that vegetable-based cutting fluids performed better over mineral-based cutting fluids in terms of lower values of machined surface roughness, tool wear, cutting forces, and chip-tool interface temperature. The MQL machining performance in terms of cutting forces, surface roughness and tool life has been observed better in comparison to machining under flood and dry cutting conditions.


Author(s):  
Er. Sher Singh

In modern production industries, main focus is on high productivity with best surface finish. For this purpose use of cutting fluid in machining of component plays major role in controlling the surface finish of components. The cutting fluids are generally applied continually during machining i.e. wet or flooded machining. The dry machining yields poor surface finish and less tool life whereas wet machining results in better surface finish as well as longer tool life. But continuous lubrication involves very large amount of consumption of cutting fluids which cause health hazards of machining operator and ill effects on environment. Moreover, continuous lubrication contributes to increase in total production cost of product. Hence, the Minimum Quantity Lubrication(MQL) is needed nowadays which works with less amount of cutting fluid (100-1000ml/hr) with pressurized air (as mist form) as compare wet machining (amount of cutting fluid 400-500L/hr approx.). The study focus on comparison of surface roughness behavior of AL-6061 under different lubrication conditions i.e. Dry, Wet and MQL. The experimental work performed on CNC milling machine involving cutting parameters feed rate, spindle speed and depth of cut as input parameters, where surface roughness and microstructure of specimens were observed as output parameters in the experiment. The machined components under different conditions i.e. DCM (dry cutting machining), MQL (minimum quantity lubrication), WCM (wet cutting machining) were examined for surface roughness using R-10 surface roughness tester whereas microstructure analysis was done using optical microscope. For given cutting parameters at 2000RPM spindle speed, 200mm/min. feed rate and it is found that better result of MQL from the dry machining and nearest of wet machining.


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