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.

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.

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 Experimental Investigation on Properties and Machining Performance of CNT Suspended Vegetable oil Nanofluids

2018 ◽  
Vol 15 (4) ◽  
pp. 5957-5975
Author(s):  
P. V. Krishna ◽  
R. R. Srikant ◽  
N. Parimala
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Cutting Forces ◽  
Microbial Contamination ◽  
Cutting Temperature ◽  
Coconut Oil ◽  
Minimum Quantity Lubrication ◽  
Depth Of Cut ◽  
Cutting Fluids ◽  
Machining Performance

This work is motivated by environmentally conscious machining and focus on the basic properties and applicability of nano cutting fluids in machining. Cutting fluids are formulated by dispersing carbon nanotubes (CNT) in coconut oil (CC) with varying percentage of nanoparticle inclusions (NPI). The properties such as density, heat transfer coefficient, dynamic viscosity and thermal conductivity are determined before their application. The formulated nanofluids are applied during machining through minimum quantity lubrication (MQL) technique. Microbial contamination and biodegradability tests are conducted to assess the quality of nanocutting fluids. Viscosity is found to decrease with increase in temperature where, as specific heat slightly decreased with an increase in NPI for CNT dispersed fluids. It is observed that nanofluids in MQL upshot in the reduction of cutting force, cutting temperature, tool wear and surface roughness. CNT dispersed cutting fluids at 0.5% NPI and speed of 60 m/min, 0.131 mm/rev feed and 0.5 mm depth of cut (DOC) shown better performance in the selected range of parameters. Machining performance is more influenced by the percentage of nanoparticles and then the depth of cut, speed and feed respectively. For the cutting conditions, the influence of DOC in obtaining minimum cutting forces and reducing cutting temperatures is found to be 85% and 45% respectively for nBA dispersed fluids. The extent of influence of %NPI is found to be 35.19% for CNT dispersed fluids to obtain reduced cutting forces, cutting temperatures, tool wear and surface roughness according to GRA analysis. Microbial contamination is observed to be the least for 0.5% NPI dispersed fluids. It is also identified that nano cutting fluids used in this work are biodegradable and biologically treatable for disposal as well.

A Study on Machinability in Turning 1Cr18Ni9Ti Steel under Minimum Quantity Lubrication Machining

2011 ◽  
Vol 181-182 ◽  
pp. 1013-1017
Author(s):  
Ru Ting Xia
Keyword(s):  
Surface Roughness ◽  
Experimental Measurement ◽  
Metal Cutting ◽  
Mechanical Performance ◽  
Cutting Temperature ◽  
Minimum Quantity Lubrication ◽  
Cutting Fluids ◽  
Minimum Quantity ◽  
Dimensional Deviation ◽  
1Cr18ni9ti Steel

The present study show that metal cutting fluids changes the machinability because of their lubrication and cooling in turning 1Cr18Ni9Ti steel under minimum quantity lubrication (MQL) Machining. The experiments compares the mechanical performance of MQL to completely dry lubrication for the turning of 1Cr18Ni9Ti steel based on experimental measurement of cutting temperature, cutting forces, surface roughness, and dimensional deviation. Results indicated that the use of near dry lubrication leads to lower cutting temperature and cutting force, favorable chip-tool interaction, reduced tool wears, surface roughness, and dimensional deviation.

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.

Experimental investigation to study the effect of synthesized and characterized monotype and hybrid nanofluids in minimum quantity lubrication assisted turning of bearing steel

2021 ◽  
pp. 135065012110381
Author(s):  
Anup A Junankar ◽  
Yashpal Yashpal ◽  
Jayant K Purohit
Keyword(s):  
Zinc Oxide ◽  
Copper Oxide ◽  
Minimum Quantity Lubrication ◽  
Bearing Steel ◽  
Hybrid Nanofluid ◽  
Machining Performance ◽  
Minimum Quantity ◽  
Cutting Zone ◽  
Cutting Zone Temperature ◽  
Zone Temperature

A minimum quantity lubrication system using biodegradable cutting fluids has facilitated the excellent machining performance and is observed as more sustainable. In the view of enhancement of machining performance, the utilization of nanofluids with a minimum quantity lubrication system as a cutting fluid delivered noteworthy outcomes. For the present experimental investigation, the monotype nanofluids (copper oxide and zinc oxide) and a hybrid nanofluid (copper oxide/zinc oxide) were synthesized by using a two-step method. Scanning electron microscopy and energy dispersive X-ray analysis were performed to characterize the synthesized nanoparticles. A vegetable oil was utilized as a base fluid and three types of nanofluids were prepared by the addition of a surfactant (butenol). Also, ultrasonication has been performed to avoid the agglomeration of nanoparticles into the base fluid. The thermal conductivity evaluation of prepared nanofluids was carried out by using a hot wire method. The effects of three nanofluids were investigated by considering three machining input variables (cutting speed, feed rate and depth of cut) on response variables (surface roughness and cutting zone temperature) during bearing steel turning under nanofluid minimum quantity lubrication cooling conditions. The multi-objective optimization was performed by using grey relational analysis and found that the hybrid nanofluid (copper oxide/zinc oxide) was noted as the highly effective cooling condition as equated to copper oxide and zinc oxide monotype nanofluid. The hybrid nanofluid (copper oxide/zinc oxide) shows a 65% and 60% reduction in surface roughness on comparing with copper oxide and zinc oxide nanofluids, respectively. Also, the minimization of cutting zone temperature was observed under the hybrid nanofluid (copper oxide/zinc oxide) by 11% and 13% on equating with copper oxide and zinc oxide nanofluids, respectively.

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.

Application of tri-hybridized carbonaceous nanocutting fluids in an end milling operation by the minimum quantity lubrication technique

2021 ◽  
pp. 135065012110438
Author(s):  
S. Vignesh ◽  
U. Mohammed Iqbal
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
End Milling ◽  
Hexagonal Boron Nitride ◽  
Coconut Oil ◽  
Minimum Quantity Lubrication ◽  
Work Piece ◽  
Cutting Fluids ◽  
Minimum Quantity ◽  
Milling Operations

This paper is concentrated on the exploration of carbonaceous nanocutting fluids with the concept of tri-hybridization with improved lubricative and cooling properties by using multi-walled carbon nanotubes, hexagonal boron nitride , and graphene nanoparticles with neat cold-pressed coconut oil in a fixed volumetric proportion. The rheological properties of the nanofluids were studied to assess their performance in real-time end milling operations using an AA7075 work piece on a CNC lathe machine under a minimum quantity lubrication environment. At the outset, the carbonaceous nanofluids gave good performance when compared to conventional cutting fluids. Furthermore, the surfaces of the tribo-pairs and the chips formed were analyzed using a profilometer and high-end microscopes. The results obtained from the experiments confirm that the tri-hybridized carbonaceous nanolubricant has reduced the cutting force, tool wear, and surface roughness when correlated to monotype nanofluids. The scanning electron microscope images of the surface and tool were studied and it was found that the surface quality was maintained while end milling with tri-hybridized carbonaceous nanofluid. Improvement of ∼17%, 20% and 25% in cutting forces, surface roughness and tool wear was found in tri-hybrid fluid when compared to other fluids. Thus, the present work indicates that the addition of carbon-based nanoparticles with coconut oil has offered better performance and is found to be a credible alternative to existing conventional cutting fluids.

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