scholarly journals Effect of multi-walled carbon nanotubes based nanofluid on surface roughness and cutting temperature in turning operation using minimum quantity lubrication

Author(s):  
Rabesh Kumar Singh ◽  
Anuj Kumar Sharma ◽  
Bishwajeet ◽  
Vimal Mandal ◽  
Kumar Gaurav ◽  
...  
2018 ◽  
Vol 5 (11) ◽  
pp. 24578-24586 ◽  
Author(s):  
Rabesh kumar Singh ◽  
Anuj Kumar Sharma ◽  
Bishwajeet ◽  
Vimal Mandal ◽  
Kumar Gaurav ◽  
...  

Author(s):  
Shazzad Hossain ◽  
Mohammad Zoynal Abedin

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.


Author(s):  
M. Naresh Babu ◽  
V. Anandan ◽  
M. Dinesh Babu ◽  
N. Muthukrishnan

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.


2011 ◽  
Vol 181-182 ◽  
pp. 1013-1017
Author(s):  
Ru Ting Xia

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.


2021 ◽  
Author(s):  
Kashif Riaz Wattoo ◽  
Muhammad Zubair Khan ◽  
Asif Israr ◽  
Muhammad Amin

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.


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