THE EFFECTS OF NOZZLE NUMBER AND OUTLET GEOMETRY ON GRINDING PROCESS WITH MINIMUM QUANTITY COOLING (MQC) BY NANOFLUID

2021 ◽  
pp. 2150058
Author(s):  
HOOMAN ABIYARI ◽  
MOHAMMAD MAHDI ABOOTORABI

Machining with minimum quantity lubrication (MQL) or minimum quantity cooling (MQC) as a subset of green machining is a process in which small volume fluid of high lubrication and cooling properties alongside high pressure air is used in the material removal process. The heat generated in the grinding process has a great impact upon the workpiece quality. Serving lubrication and heat transfer functions, cutting fluids have an essential role in reducing the temperature and thus improving the process of grinding. In this research, nanofluid made of graphene nanoparticles in water-based fluid as a cutting fluid of high heat transfer is utilized to investigate the effects of nozzle number and nozzle geometry of the MQC system on the cutting temperature and surface roughness of the workpiece. The effect of geometry and number of nozzles on grinding with MQC has not been studied so far. The study findings show that the nozzle outlet cross-section of rectangular, compared to circular, decreases the surface roughness and temperature by 30% and 36%, respectively. Moreover, compared to the single nozzle, the use of three nozzles results in a decrease of 19% and 31.7% in the surface roughness and temperature. Under the same machining conditions, the MQC method by 0.15[Formula: see text]wt.% nanofluid of graphene in water using a rectangular nozzle outlet of 1.2[Formula: see text]mm width makes surface roughness and temperature reduced by 67.2% and 48.3% compared to the dry condition, whereas decreased by 13.4% and 8.8% compared to the wet method, respectively.

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.


2021 ◽  
Author(s):  
Muhammad Jamil ◽  
Ning He ◽  
Wei Zhao ◽  
Aqib Mashood Khan ◽  
Munish Kumar Gupta

Abstract Recent burgeoning development in nanotechnology unfold an avenue in the manufacturing industry. Owing to the superior heat transfer potential of nanoadditives mentioned recently, it could be interesting to improve the heat transfer and tribological capability of metal cutting fluids by mixing nanofluids in emulsions properly. In order to attain high-performance cutting of difficult-to-cut alloys, hybrid nanofluids assisted Minimum Quantity Lubrication (MQL) system is applied with the anticipation of efficient lubrication and heat transfer. Taguchi based L16(43) orthogonal array is used involving nanofluids concentrations of alumina-multiwalled carbon nanotubes (Al2O3-MWCNTs) air pressure and cooling flow rate at constant cutting conditions in the milling of Ti-6Al-4V. The resultant cutting force (FR), cutting temperature (T), and surface roughness (Ra) is considered as key machining responses. Besides, tool wear, chip analysis, and surface topography are also analyzed under the effect of hybrid nanofluids. Findings have shown the minimum resultant force, cutting temperature and surface roughness of 24.3N, 148.7oC, and 0.67µm respectively at nanofluids concentration of 0.24vol%, 120ml/h of flow rate at 0.6MPa of air pressure. The microscopic analysis of the end-mill depicted minor thermal damage, chip-welding, and coating peeling. Also, chip analysis depicts the clean back surface and less melting of saw-tooth chip edges. The surface topography confirms the less micro-adhesion of chips and material debris. The summary showed that appropriately chosen MQL parameters have improved the lubrication/cooling performance by providing oil film and enhancing the milling performance measures. The outcomes of the proposed study are useful for the manufacturing industry for the enhancement of process performance.


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.


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

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.


2019 ◽  
Vol 26 (1) ◽  
pp. 15-35 ◽  
Author(s):  
Phillip Ligrani ◽  
Patrick McInturff ◽  
Masaaki Suzuki ◽  
Chiyuki Nakamata

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