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Kulkarni, V. V.
- Experimental Investigation and Analysis of Relationship between Surface Roughness and Cutting Force during MQL Turning of AISI 4340 with Nano Fluid
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Authors
Affiliations
1 Department of Mechanical Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
2 Department of Mechanical Engineering, Sanjay Ghodawat Group of Institution, Kolhapur, Maharashtra, IN
1 Department of Mechanical Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
2 Department of Mechanical Engineering, Sanjay Ghodawat Group of Institution, Kolhapur, Maharashtra, IN
Source
Manufacturing Technology Today, Vol 16, No 2 (2017), Pagination: 3-10Abstract
The objective of this research work is focused on to establish the relationship between surface and cutting force under Minimum Quantity Lubrication using nano fluid in turning of AISI 4340. A study of effect of cutting parameters in turning of AISI 4340 under MQL condition with nano fluid on the cutting force generated and machined surface roughness is carried out. In the experiment conducted, five values of feed rate, three values of depth of cut, two values of cutting speed and tool nose radius respectively, are used. The test pieces were turned on a CNC lathe machine under MQL mode using nano fluid with different levels of cutting parameters by using full factorial design of experiment orthogonal array. From result analysis, it was found that, feed rate played a major role in producing lower surface roughness followed by depth of cut whereas cutting speed has least significance in producing lower surface roughness under MQL using nano coolant. It was observed that at constant depth of cut and cutting speed for tool nose radius 0.8 mm and 0.4 mm as feed increases, surface roughness and cutting force values increases. From Least square technique the curve fitting equation (power equation) between surface roughness and cutting force is obtained. Also it is found that, agreements between surface roughness and calculated cutting force is excellent (99%) and confidence interval for co-relation coefficient r1, r2, r3, r4 is significant. So from the analysis of result the relationship between surface roughness and cutting force is established.Keywords
MQL, Nano Fluid, Confidence Interval, Cutting Force, Surface Roughness.
References
- Narayana Rao, S; Dr. Satyanarayana, B; Dr. Venkatasubbaiah, K: Experimental Estimation of Tool Wear and Cutting Temperatures in MQL using Cutting Fluids with CNT Inclusion, 'International Journal of Industrial Engineering Science and Technology', ISSN: 0975-5462, vol. 3, no. 4, Apr 2011.
- Ashok Kumar Sahoo; Bidyadhar Sahoo: Experimental Investigation on Machinability Aspects in Finish Hard Turning of AISI 4340 Steel using Uncoated and Multilayer Coated Carbide Inserts, 'Measurement', vol. 45, no. 8, 2012, 2153-2165.
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- Lohar, DV; Nanavte, CR:Performance Evaluation of Minimum Quantity Lubrication (MQL) Using CBN Tool during Hard Turning of AISI 4340 and its Comparison with Dry and Wet Turning, 'International Journal of Industrial Engineering and Management Science', vol. 3, no. 3, 2013.
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- Experimental Investigation and Analysis of Effect of Process Parameters on Surface Roughness of AISI 4340 during MQL Turning with Nano Fluid
Abstract Views :179 |
PDF Views:2
Authors
Affiliations
1 Department of Mechanical Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
2 Department of Mechanical Engineering, Sanjay Ghodawat Group of Institution, Kolhapur, Maharashtra, IN
1 Department of Mechanical Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
2 Department of Mechanical Engineering, Sanjay Ghodawat Group of Institution, Kolhapur, Maharashtra, IN
Source
Manufacturing Technology Today, Vol 16, No 7 (2017), Pagination: 11-20Abstract
The selection of cooling system and effective optimization of machining cutting parameters affects cost and production time of quality of machined work piece material. This research work represents an investigation on response parameters such as surface roughness and metal removal rate during MQL turning of AISI 4340 with nano fluid along with comparative analysis of different cooling systems. Three values of feed rate and depth of cut respectively were chosen to study the effect on surface roughness. As per Taguchi design L9 orthogonal array design matrix has been selected for conducting of experiments. The optimal conditions are obtained from Grey Relational Analysis (GRA) as Feed (0.04 mm/rev.) and Depth of cut (1.5 mm). The Signal to Noise ratio plot for GRA shows similar optimum condition therefore the results achieved from ANOVA are closely matching to the results of GRA. Improvement in grey relational grade is near about 1.24%. From the comparative result analysis, it was observed that Minimum Quantity Lubrication (MQL1) with nano fluid (MWCNT) showed lowest surface roughness compared to MQL2, dry and flood condition. Also it is found that the percentage error is below ±5%. For MQL1 at optimum condition (Feed rate 0.04 mm/rev. and Depth of cut 1.5 mm) the obtained surface roughness (Ra = 1.01μm). The findings of this study show that MQL with nano fluid can substitute the flood lubrication for better surface finish and performance characteristics can be improved effectively through this approach.Keywords
MQL, Nano Fluid, GRA, Surface Roughness, Metal Removal Rate.References
- Narana Rao S., Satyanarayana B. S., (2011), Experimental Estimation of Tool Wear and Cutting Temperatures in MQL using Cutting Fluids with CNT Inclusion, International Journal of Industrial Engineering Science and Technology, ISSN:0975-5462.
- Sahoo Ashok Kumar, Sahoo Bidyadhar, (2012) Experimental Investigation on Machinability Aspects in Finish Hard Turning of AISI 4340 Steel using Uncoated and Multilayer Coated Carbide Inserts, Measurement 45, pp2153-2165.
- Young Kug Hwang and Choon Man Lee, (2010), Surface roughness and cutting force prediction in MQL and wet turning process of AISI 1045 using design of experiments, Journal of Mechanical Science and Technology 24(8), 1669-1677.
- Suhil Adheil H., Ismail N., (2010), Optimization of Cutting Parameters of Turning Operations by using Geometric Programming, American J. of Engineering and Applied sciences, 3(1) pp102-108.
- Dhar N. R., Islam S. and Kamruzzaman M., (2007), Effect of Minimum Quantity Lubrication(MQL) on Tool Wear, Surface Roughness and Dimensional Deviation in Turning AISI-4340 Steel, G. U. Journal of Science 20(2), pp23-32.
- Lohar D. V., Nanavte C. R., (2013), Performance Evaluation of Minimum Quantity Lubrication (MQL) Using CBN Tool during Hard Turning of AISI 4340 and its Comparison with Dry and Wet Turning, International Journal of Industrial Engineering and Management Science, Vol. 3, No. 3.
- Tasdelen B., Thordenberg H., Olofsson D., (2008), An Experimental Investigation on Contact Length During MQL Machining, Journal of Material Processing Technology, pp221-231.
- Shen Bin, (2008), Minimum Quantity Lubrication Grinding Using Nano fluids, A Dissertation Submitted in Partial Fulfilment of the Requirements for the Degree of Doctor of Philosophy (Mechanical Engineering) in the University of Michigan.
- Prabhu S., Vinayagam B. K., (2011), Fractal Dimensional Surface Analysis of AISI D2 Tool Steel Material with Nano fluids in Grinding Process Using Atomic Force Microscopy, 466 / Vol. XXXIII, No. 4.
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- Patole P. B. and Kulkarni V. V., (2017), Experimental Investigation and Analysis of Relationship between Surface Roughness and Cutting Force during MQL Turning of AISI 4340 with Nano Fluid, Manufacturing Technology Today (CMTI), Vol. 16 No.1, pp 1-9.
- Patole P. B. and Kulkarni V.V., (2017), Experimental investigation and optimization of cutting parameters with multi response characteristics in MQL turning of AISI 4340 using nano fluid, Cogent Engineering (Taylor and Francis group), 4: 1303956.
- Patole P. B. and Kulkarni V.V., (2016), Optimization of Process Parameters based on Surface Roughness and Cutting Force in MQL Turning of AISI 4340 using Nano Fluid, Materials Today Procedings: PMME 2016.
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Abstract Views :243 |
PDF Views:0
Authors
Affiliations
1 Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
2 SGI Atigre, Kolhapur, Maharashtra, IN
1 Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
2 SGI Atigre, Kolhapur, Maharashtra, IN