Turning SKD 11 Steel Using Silver Nanofluids With Minimum Quantity Lubrication

2021 ◽  
Vol 11 (3) ◽  
pp. 74-95
Author(s):  
M. Naresh Babu ◽  
V. Anandan ◽  
M. Dinesh Babu ◽  
N. Muthukrishnan
Keyword(s):  
Surface Roughness ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
Chip Morphology ◽  
Machining Performance ◽  
Weighting Method ◽  
Minimum Quantity ◽  
Simple Additive Weighting ◽  
The Impact

The influence of lubrication has an effect on health, surroundings, and manufacturing regions. In the current analysis, the impact of turning parameters such as cutting speed, feed rate and cutting conditions on surface roughness (Ra), cutting temperature, tool wear, and chip morphology are examined on SKD 11 steel. The experiments were performed with Taguchi's L18 orthogonal-array. The significance of the investigation involved in comparing the effect of dry, oil machining, and nano lubricants with minimum quantity lubrication (MQL) in turning process. Additionally, simple additive weighting method (SAW) has been utilized to enhance the turning parameters in SKD 11 steel for improved machining performance. Results indicate that the use of nanoparticles as cutting fluids serve in reducing the surface roughness, cutting temperature, and wear on the tool.

scholarly journals A Novel Study on The Effects of Minimum Quantity Lubrication and Machining Parameters in Turning of Ti-6Al-4V Alloy By Applying Al2O3-Graphene Hybrid Nanoparticle Enriched Cutting Fluid

2021 ◽  
Author(s):  
Kashif Riaz Wattoo ◽  
Muhammad Zubair Khan ◽  
Asif Israr ◽  
Muhammad Amin
Keyword(s):  
Surface Roughness ◽  
Vegetable Oil ◽  
Thermophysical Properties ◽  
Cutting Temperature ◽  
Minimum Quantity Lubrication ◽  
Hybrid Nanofluid ◽  
Cutting Fluids ◽  
Machining Parameters ◽  
Machining Performance ◽  
Minimum Quantity

Abstract In Minimum Quantity Lubrication (MQL) very small amount of cutting fluids are used. Currently, nanoparticles are added into cutting fluids to magnify the cooling and lubricating properties. Several studies are available on MQL to check the machining performance in terms of cooling and lubrication using nanofluids like Ag, SiO2, MoS2, Al2O3, Cu and MWCNT. However, limited evidences are available in applying hybrid nanoparticles in machining processes. Present research investigates the effect of hybridization of two different nanofluids on machining performance in turning operation of Ti-6Al-4V alloy. Moreover, machineability was evaluated and analyzed by performing turning using minimum quantity lubrication (MQL) cooling technique. Cutting temperature and surface roughness of machined surface were taken as technological performance parameters to evaluate the machinability of Ti-6Al-4V alloy. Hybridization was performed by mixing alumina based nanofluid into graphene nanoparticles in a fixed volumetric proportion 80:20 using vegetable oil as base fluid. Additionally, machining performance was evaluated by preparing hybrid nanofluid in different concentrations like (0.25,0.50,0.75 and 1.00vol%) and tested for thermophysical properties before experimentation. Significant improvements in thermophysical properties were observed during hybridization of Al2O3 and Graphene. For parametric optimization and design of experiment, Taguchi orthogonal array has been employed. Machining performance of vegetable oil base alumina-graphene hybrid nanofluid was compared with monotype alumina based nanofluid and a significant reduction cutting temperature and surface roughness was observed respectively.

scholarly journals Towards Sustainable Machining of Inconel 718 Using Nano-Fluid Minimum Quantity Lubrication

2018 ◽  
Vol 2 (3) ◽  
pp. 50 ◽  
Author(s):  
Hussien Hegab ◽  
Hossam Kishawy
Keyword(s):  
Inconel 718 ◽  
Government Regulation ◽  
Effective Properties ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
Al2o3 Nanoparticles ◽  
Machining Performance ◽  
Multi Wall Carbon Nanotubes ◽  
Minimum Quantity ◽  
Cooling And Lubrication

Difficult-to-cut materials have been widely employed in many engineering applications, including automotive and aeronautical designs because of their effective properties. However, other characteristics; for example, high hardness and low thermal conductivity has negatively affected the induced surface quality and tool life, and consequently the overall machinability of such materials. Inconel 718, is widely used in many industries including aerospace; however, the high temperature generated during machining is negatively affecting its machinability. Flood cooling is a commonly used remedy to improve machinability problems; however, government regulation has called for further alternatives to reduce the environmental and health impacts of flood cooling. This work aimed to investigate the influence of dispersed multi-wall carbon nanotubes (MWCNTs) and aluminum oxide (Al2O3) gamma nanoparticles, on enhancing the minimum quantity lubrication (MQL) technique cooling and lubrication capabilities during turning of Inconel 718. Machining tests were conducted, the generated surfaces were examined, and the energy consumption data were recorded. The study was conducted under different design variables including cutting speed, percentage of added nano-additives (wt.%), and feed velocity. The study revealed that the nano-fluids usage, generally improved the machining performance when cutting Inconel 718. In addition, it was shown that the nanotubes additives provided better improvements than Al2O3 nanoparticles.

Investigations on Surface Roughness Measurement in Minimum Quantity Lubrication Turning of Titanium Alloys Using Response Surface Methodology and Box–Cox Transformation

2016 ◽  
Vol 16 (2) ◽  
pp. 75-88 ◽  
Author(s):  
Munish Kumar Gupta ◽  
P. K. Sood ◽  
Vishal S. Sharma
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Flow Rate ◽  
Feed Rate ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
Machining Parameters ◽  
Minimum Quantity ◽  
Box Cox Transformation

AbstractIn the present work, an attempt has been made to establish the accurate surface roughness (Ra, Rq and Rz) prediction model using response surface methodology with Box–Cox transformation in turning of Titanium (Grade-II) under minimum quantity lubrication (MQL) conditions. This surface roughness model has been developed in terms of machining parameters such as cutting speed, feed rate and approach angle. Firstly, some experiments are designed and conducted to determine the optimal MQL parameters of lubricant flow rate, input pressure and compressed air flow rate. After analyzing the MQL parameter, the final experiments are performed with cubic boron nitride (CBN) tool to optimize the machining parameters for surface roughness values i. e., Ra, Rq and Rz using desirability analysis. The outcomes demonstrate that the feed rate is the most influencing factor in the surface roughness values as compared to cutting speed and approach angle. The predicted results are fairly close to experimental values and hence, the developed models using Box-Cox transformation can be used for prediction satisfactorily.

Modelling and Optimization of Tool Chip Interface Temperature and Surface Roughness in CNC Dry Turning of EN 24 Steel

2016 ◽  
Vol 16 ◽  
pp. 7-15 ◽  
Author(s):  
Nirmal Kumar Mandal ◽  
Tanmoy Roy
Keyword(s):  
Surface Roughness ◽  
Cutting Tool ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
Machining Process ◽  
Interface Temperature ◽  
Depth Of Cut ◽  
Work Piece ◽  
Substantial Impact

Abstract. Kinetic energy of a machining process is converted into heat energy. The generated heat at cutting tool and work piece interface has substantial impact on cutting tool life and quality of the work piece. On the other hand, development of advanced cutting tool materials, coatings and designs, along with a variety of strategies for lubrication, cooling and chip removal, make it possible to achieve the same or better surface quality with dry or Minimum Quantity Lubrication (MQL) machining than traditional wet machining. In addition, dry and MQL machining is more economical and environment friendly. In this work, 20 no. of experiments were carried out under dry machining conditions with different combinations of cutting speed, feed rate and depth of cut and corresponding cutting temperature and surface roughness are measured. The no. of experiments is determined through Design of Experiments (DOE). Nonlinear regression methodology is used to model the process using Response Surface Methodology (RSM). Multi-objective optimization is carried using Genetic Algorithm which ensures high productivity with good product quality.

scholarly journals Drilling of Ceramic Reinforced Aluminum Matrix Composite under Minimum Quantity Lubrication using Bio Cutting Fluid

2020 ◽  
Vol 9 (4) ◽  
pp. 3172-3178
Keyword(s):  
Surface Roughness ◽  
Matrix Composite ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
Cutting Parameters ◽  
Aluminium Matrix ◽  
Matrix Composites ◽  
Aluminium Matrix Composites ◽  
Minimum Quantity ◽  
Silicon Carbide Particulate

In this study an experimental investigation of effects of cutting parameters on surface roughness during drilling of silicon carbide particulate reinforced aluminium matrix composite material under minimum quantity lubrication (MQL) condition was carried out. Cutting speed , feed rate, flow rate and % SiC in aluminium matrix composites were chosen as cutting parameters. The experimental design adopted for this investigation was the central composite design of response surface methodology. Thirty one readings were taken on VMC machine for MQL condition and the surface roughness measured using Mitutoyo surface tester. Surface roughness values for MQL condition were lower with 30% SiC reinforced aluminium matrix composites when compared to 10 % and 20 % SiC reinforced aluminium matrix composites . As cutting speed increased Ra & Rz value also increased .% SiC was found most significant factor while drilling aluminium matrix composites.

Experimental investigation of nanofluids in minimum quantity lubrication during turning of EN-24 steel

2019 ◽  
Vol 234 (5) ◽  
pp. 712-729
Author(s):  
Archana Thakur ◽  
Alakesh Manna ◽  
Sushant Samir
Keyword(s):  
Comparative Analysis ◽  
Desirability Function ◽  
Cutting Temperature ◽  
Minimum Quantity Lubrication ◽  
Hybrid Nanofluid ◽  
Machining Performance ◽  
Optimization Of Parameters ◽  
Minimum Quantity ◽  
Response Optimization ◽  
Hybrid Nanofluids

The present work evaluates the performance of different machining environments such as dry, wet, minimum quantity lubrication, Al2O3 nanofluids based minimum quantity lubrication, CuO nanofluids based minimum quantity lubrication and Al–CuO hybrid nanofluids based minimum quantity lubrication on machining performance characteristics during turning of EN-24. The nanofluids and hybrid nanofluids were prepared by adding the Al2O3, CuO and Al2O3/CuO to the soluble oil with different weight percentages (0.5 wt.%, 1 wt.%, 1.5 wt.%). The thermal and tribological properties of hybrid nanofluid and nanofluids were analyzed. The comparative analysis of different turning environments has been done. From comparative analysis it is clearly observed that the nanofluids and hybrid nanofluid shows better performance during turning of EN-24 steel. So there is a need for optimization of parameters during turning of EN-24 under Al2O3 nanofluids based minimum quantity lubrication, CuO nanofluids based minimum quantity lubrication and Al–CuO hybrid nanofluids based minimum quantity lubrication. The optimization of parameters has been done by response surface methodology. The significance of developed model was identified from analysis of variance. Multi-response optimization was done using desirability function approach. To verify the accuracy of developed models, confirmatory experiments were performed. The experimental results reveal that Al–CuO hybrid nanofluids based minimum quantity lubrication significantly improves surface quality, reduces cutting temperature and cutting forces.

Study on Effect of Ultrasonic Vibration in Machining of Alumina Ceramic

2012 ◽  
Vol 516 ◽  
pp. 311-316 ◽  
Author(s):  
Kyung Hee Park ◽  
Kyeong Tae Kim ◽  
Yun Hyuck Hong ◽  
Hon Jong Choi ◽  
Young Jae Choi
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Ultrasonic Vibration ◽  
Cutting Forces ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Ultrasonic Machining ◽  
Machining Performance ◽  
Machined Surface ◽  
Combination Technique

Ultrasonic machining can be applied for the machining of difficult-to-cut materials using ultrasonical oscillation in an axial direction on top of tool rotation, which can cause reduction of cutting temperature and tool wear. In this study, the experiments were performed on a DMG ULTRASONIC 20 linear machine tool using diamond tools in both conventional and ultrasonic vibration assisted machining. The machining performance was evaluated and compared for both cases in terms of cutting forces, machined surface roughness and tool wear. And the combination technique of 3D surface topography measurement and image processing was applied for the tool wear progress. Overall, the experimental results showed that ultrasonic machining had less tool wear and lower cutting forces at low cutting speed compared to conventional machining. Also surface roughness was slightly lower in ultrasonic machining than that without ultrasonic vibration.

Effect of Cryogenic Minimum Quantity Lubrication (CMQL) on Cutting Temperature and Tool Wear in High-Speed End Milling of Titanium Alloys

2010 ◽  
Vol 34-35 ◽  
pp. 1816-1821 ◽  
Author(s):  
Yu Su ◽  
Ning He ◽  
Liang Li
Keyword(s):  
Tool Wear ◽  
Titanium Alloys ◽  
High Speed ◽  
End Milling ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
Minimum Quantity ◽  
High Cutting Speed ◽  
Cryogenic Minimum Quantity Lubrication

Cryogenic minimum quantity lubrication (CMQL) is a kind of green cooling/lubrication technique, which consists of the application of a small amount of lubricant (6-100 ml/h), delivered in a refrigerated compressed gas stream to the cutting zone. This paper experimentally investigates the effect of CMQL on cutting temperature and tool wear in high-speed end milling of titanium alloys. Comparative experiments were conducted under different cooling/lubrication conditions, i.e. dry milling, refrigerated air cutting, and CMQL. The refrigerated gas equipment was manufactured based on composite refrigeration method to provide the refrigerated air. The experimental results show that application of CMQL resulted in drastic reduction in cutting temperature and tool wear especially when machining titanium alloys at a high cutting speed.

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