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 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.

Evaluation and comparison of lubrication methods in finish machining of hardened steel mould inserts

2015 ◽  
Vol 231 (14) ◽  
pp. 2458-2467 ◽  
Author(s):  
Yuk Lun Chan ◽  
Xun Xu
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Feed Rate ◽  
Minimum Quantity Lubrication ◽  
Hardened Steel ◽  
Depth Of Cut ◽  
Machining Time ◽  
Minimum Quantity ◽  
Step Over ◽  
Steel Mould

Traditionally, metal cutting fluid or lubricant is used in finishing operations of high-speed machining process to reduce the rate of tool wear, which in turn will improve surface quality. In automobile and aerospace industries, minimum quantity lubrication technique is considered to provide the same level of performance as the flood coolant method and offers financial benefits by saving coolant direct and associated costs. However, scant research work has been done on minimum quantity lubrication applications in the die and mould manufacturing industry. In this study, the effects of dry, flood and minimum quantity lubrication machining on surface roughness, tool wear, dimensional accuracy and machining time of hardened steel mould inserts were compared. The results revealed that there were no significant differences between these three lubrication methods. More in-depth experimental study of dry and minimum quantity lubrication machining was then carried out using the design of experiments technique. In terms of surface roughness and tool wear, there were again no significant differences. Nevertheless, minimum quantity lubrication machining produced more accurate results than dry machining in dimensional deviation. The regression models show that feed-rate ( fz) has a larger effect on surface roughness and machining time than step-over ( ae), while depth of cut ( ap) has no significant effect on surface roughness. Based on the test piece shape, a shortest possible machining time of 3.55 h and a good surface finish of 0.28 µm can be achieved using a small feed-rate (0.03 mm/tooth), a large step-over (0.1 mm) and a large depth of cut (0.2 mm). This work shows that when combining the minimum quantity lubrication technique with the right cutting conditions in modern die and mould manufacturing, machining time and polishing time can be saved, which leads to an overall saving in production cost. Using the dry and minimum quantity lubrication techniques for different finish machining situations can therefore be a good economical solution.

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.

Study on Surface Roughness in Minimum Quantity Lubrication Turning of Al-6082/SiC Metal Matrix Composites

2019 ◽  
Vol 895 ◽  
pp. 127-133 ◽  
Author(s):  
C.J. Vishwas ◽  
M. Naik Gajanan ◽  
B. Sachin ◽  
Roy Abhinaba ◽  
N.P. Puneet ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Metal Matrix Composites ◽  
Feed Rate ◽  
Metal Matrix ◽  
Minimum Quantity Lubrication ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Matrix Composites ◽  
Minimum Quantity

Aluminum-based metal matrix composites (MMCs) have been suggested due to intense interest from automobile, marine, aerospace and other structural applications owing to their balanced mechanical, physical and chemical properties. MMCs are manufactured in order to meet present demand such as low material density, high mechanical strength and higher wear resistance of the component. Generally,MMCs tend to form rougher surface during machining because of the abrasive nature of hard ceramic particles present in them. Stir casting technique was used for fabrication of this composite which ensures better homogeneity.Furthermore, an attempt has been made in this paper to examine the results on the surface roughness of Al-6082/SiC metal matrix composites (containing 0%, 5% and 10% SiC particles).Focus was spent on parametric optimization of these composites in order to achieve cost-effective machining limits. The machining parameter studies have been carried out through the design of experiments (DoE) under minimum quantity lubrication (MQL) condition and effect of machining parameters such as spindle speed, feed rate and depth of cut on surface roughness was investigated to analyze the influence of reinforcement on surface roughness. In addition, analysis of variance was studied to obtain percentage contribution of machining parameters involved. Also, the surface morphology of the machined surface was studied through a scanning electron microscope (SEM). Distribution of SiC in aluminum alloy is fairly uniform with few clusters. Results of the experiments revealed that most significant turning parameter for surface roughness was spindle speed followed by feed rate and depth of cut. Furthermore, an optimal setting parameter for getting lower surface roughness was presented in confirmation table.

scholarly journals Investigation on Surface Roughness during Milling of AL-61 Machining under Minimum Quantity Lubrication (MQL)

2021 ◽  
Vol 9 (VII) ◽  
pp. 1059-1064
Author(s):  
Er. Sher Singh
Keyword(s):  
Surface Roughness ◽  
Tool Life ◽  
Surface Finish ◽  
Feed Rate ◽  
Minimum Quantity Lubrication ◽  
Cutting Parameters ◽  
Cutting Fluid ◽  
Cutting Fluids ◽  
Dry Machining ◽  
Minimum Quantity

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.

Experimental investigation of cutting temperature and surface roughness for different cutting fluids during turning of Duplex stainless steel-2205 under minimum quantity lubrication technique

2021 ◽  
Vol 15 (2) ◽  
pp. 8042-8056
Author(s):  
Prashantha Kumar S T ◽  
Thirtha Prasada HP
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Duplex Stainless Steel ◽  
Cutting Temperature ◽  
Minimum Quantity Lubrication ◽  
Deionized Water ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Cutting Fluids ◽  
Minimum Quantity

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.

scholarly journals Effects of hybrid Al2O3–CuO nanofluids on surface roughness and machining forces during turning AISI 4340

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Shahin Haghnazari ◽  
Vahid Abedini
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Rotational Speed ◽  
Minimum Quantity Lubrication ◽  
Weight Percent ◽  
Cutting Fluid ◽  
Hybrid Nanofluid ◽  
Workpiece Material ◽  
Machining Forces ◽  
Aisi 4340

AbstractThis paper presents an effort to model the process parameters involved in turning of alloy steel AISI 4340 workpiece material with Al2O3 and CuO hybrid nanofluids using the minimum quantity lubrication (MQL) method. In this paper, the effect of mixing two nanoparticles (Al2O3 and CuO) with different weight percent in environmentally friendly water-based cutting fluid, the rotational speed, and the feed rate has been investigated on the surface roughness and the machining forces using the response surface method. The results of the experiments show that the hybrid nanofluid containing 0.75 CuO with 0.25 Al2O3 has the best output for the machining forces and the surface roughness. Also, in the best composition of the nanoparticles (0.75 CuO with 0.25 Al2O3), the lowest value of machining forces has been achieved at a feed rate of 0.08 mm per revolution and the rotational speed 1000 rpm as well as the lowest value of the surface roughness at a feed rate of 0.08 mm per revolution and the rotational speed 710 rpm.

scholarly journals Performance of Al2O3 nanofluids in minimum quantity lubrication in hard milling of 60Si2Mn steel using cemented carbide tools

2017 ◽  
Vol 9 (7) ◽  
pp. 168781401771061 ◽  
Author(s):  
Duc Tran Minh ◽  
Long Tran The ◽  
Ngoc Tran Bao
Keyword(s):  
Surface Roughness ◽  
Tool Life ◽  
Minimum Quantity Lubrication ◽  
High Hardness ◽  
Cemented Carbide ◽  
Cutting Fluid ◽  
Hard Milling ◽  
Minimum Quantity ◽  
Coated Carbide ◽  
Lubrication Conditions

In this article, an attempt has been made to explore the potential performance of Al2O3 nanoparticle–based cutting fluid in hard milling of hardened 60Si2Mn steel (50-52 HRC) under different minimum quantity lubrication conditions. The comparison of hard milling under minimum quantity lubrication conditions is done between pure cutting fluids and nanofluids (in terms of surface roughness, cutting force, tool wear, and tool life). Hard milling under minimum quantity lubrication conditions with nanofluid Al2O3 of 0.5% volume has shown superior results. The improvement in tool life almost 177%–230% (depending on the type of nanofluid) and the reduction in surface roughness and cutting forces almost 35%–60% have been observed under minimum quantity lubrication with Al2O3 nanofluids due to better tribological behavior as well as cooling and lubricating effects. The most outstanding result is that the uncoated cemented carbide insert can be effectively used in machining high-hardness steels (>50 HRC) while maintaining long tool life and good surface integrity (Ra = 0.08–0.35 µm; Rz = 0.5–2.0 µm, equivalent to finish grinding) rather than using the costlier tools like coated carbide, ceramic, and (P)CBN. Therefore, using hard nanoparticle–reinforced cutting fluid under minimum quantity lubrication conditions in practical manufacturing becomes very promising.

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.

Application of Taguchi Technique to Surface-Grinding of Mold Steel

2016 ◽  
Vol 689 ◽  
pp. 7-11 ◽  
Author(s):  
Y. Şahin ◽  
Senai Yalcinkaya
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Quality Characteristics ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Grinding Process ◽  
Machining Parameters ◽  
Taguchi Technique ◽  
Fluid Environment ◽  
Selection Of

The selection of optimum machining parameters plays a significant role for the quality characteristics of products and its costs for grinding. This study describes the optimization of the grinding process for an optimal parametric combination to yield a surface roughness using the Taguchi method. An orthogonal array and analysis of variance are employed to investigate the effects of cutting environment (A), depth of cut (B) and feed rate (C) on the surface roughness characteristics of mold steels. Confirmation experiments were conducted to verify the optimal testing parameters. The experimental results indicated that the surface finish decreased with cutting-fluid and depth of cut, but decreased with increasing feed rate. It is revealed that the cutting fluid environment had highest physical as well as statistical influence on the surface roughness (71.38%), followed by depth of cut (25.54%), but the least effect was exhibited by feed rate (1.62%).

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