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Pol, G. J.
- FEA Modeling And Prediction Of Surface Roughness Of Aluminum Alloy (LM4) During Turning Process
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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
Source
Manufacturing Technology Today, Vol 19, No 11 (2020), Pagination: 20-27Abstract
Different cutting parameters have different influences on the surface finish. A study of effect of some of these parameters on the surface roughness of Aluminum alloy grade LM4 (AlSi5Cu3) is carried out in this work. In the experiment conducted, six values of cutting speed, three values of depth of cut, six values of feed and two values of tool nose radius are used. The experimentation was carried out using a three factor experiment principle from design of experiment. The chemical composition of the work material was tested using arc spectrometer and verified to be of grade LM 4. The values of parameters like cutting speed, feed rate and depth of cut were selected from the recommended ranges from the tool manufacturer catalogue. The test pieces were turned on a center lathe machine under different levels of these parameters. The surface roughness of the machined surface was measured using surface measurement tester. From the analysis of results the relationship between surface roughness and equivalent stress is established.Keywords
Turning, surface Roughness, Equivalent Stress, Cutting Parameters.- Analysis of Effect of Cutting Parameters on Surface Roughness and Cutting Force During Turning of Aluminum Alloy (AlSi5Cu3)
Abstract Views :178 |
PDF Views:0
Authors
Affiliations
1 Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
1 Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, IN
Source
Manufacturing Technology Today, Vol 20, No 1-2 (2021), Pagination: 3-8Abstract
The aim of this research work is focused on analysis of process parameters during turning of aluminium alloy (AlSi5Cu3). A study of effect of cutting parameters in turning of Aluminum Alloy (AlSi5Cu3) on the cutting force generated and machined surface roughness is carried out. In the experiment conducted, six values of feed rate, three values of depth of cut, and two values of cutting speed respectively, are used. The test pieces were turned on a centre lathe machine with different levels of cutting parameters by using full factorial design of experiment orthogonal array. The surface roughness of the machined surface was measured using surface measurement tester. Taguchi methodology was used to optimize process parameters. The results were analyzed by using Analysis of variance. From result analysis, it was found that, feed rate played a major role in producing lower surface roughness followed by cutting speed whereas depth of cut has least significance in producing lower surface roughness. To achieve better machining performance, the optimum condition parameters for surface roughness and cutting force, are as feed rate (FR = 0.045 m/min.), the cutting speed (CS = 90 m/min.), depth of cut (DOC = 0.5 mm). From analysis it is also seen that the cutting force equation and surface roughness equations are appropriate for accurate prediction. Thus, with proper selection of cutting parameters, it is possible to achieve good surface roughness, reduce tool wear while maintaining the cutting forces and temperatures at reasonable levels.Keywords
Turning, Surface Roughness, Cutting Force, Cutting Parameters.References
- Amini, S., Khakbaz, H., & Barani, A. (2015). Improvement of Near-Dry Machining and It’s Effect on Tool Wear in Turning of AISI 4142. Journal of Materials and Manufacturing Processes, 30, 241–247.
- Aouici, H., Yallese, M. A., Belbah, A., Mfameur & Elbah, M. (2013). Experimental Investigation of Cutting Parameters Influence on Surface Roughness and Cutting Forces in Hard Turning of X38CrMoV5-1 with CBN tool. Journal of Sadhana Indian Academy of Sciences, 38 (Pt 3), 429-445.
- Chen Lu (2008). Study on Prediction of Surface Quality in Machining Process. Journal of Materials Processing Technology, 205, 439-450.
- CMTI (1982). Machine Tool Design Handbook. Tata Mc-Graw Hill, New Delhi, 637-650.
- Montgomery, D. C. (2001). Design and Analysis of Experiments. John Wiley and Sons, 1-17.
- Patole, P. B., & Kulkarni, V. V. (2017a). Experimental Investigation and Analysis of Effect of Process Parameters on Surface Roughness of AISI 4340 during MQL Turning with Nano Fluid. Manufacturing Technology Today, 16(7), 11-20.
- Patole, P. B., & Kulkarni, V. V. (2017b). Experimental Investigation and Optimization of Cutting Parameters with Multi Response Characteristics in MQL Turning of AISI 4340 using Nano Fluid. Journal of Cogent Engineering, 4(1), 1-14.
- Patole, P. B., & Kulkarni, V. V. (2018). Prediction of Surface Roughness and Cutting Force under MQL Turning of AISI 4340 with Nano Fluid by using Response Surface Methodology. Journal of Manufacturing Review, 5, 2018.
- Singh, C. S., Amrit Pal & Singh, T. (2016). Performance Evaluation of Aluminium 6063 Drilling under the Influence of Nano fluid Minimum Quantity Lubrication. Journal of Cleaner Production, 137, 537-545.
- Sripathi, P. S. (2009). Investigation into the Effects of Tool Geometry and Metal Working Fluids on Tool Forces and Tool Surfaces during Orthogonal Tube Turning of Aluminum 6061 Alloy.
- Suhail, A. H., Ismail, N., Wong, S. V., and Jalil, A. N. A. (2010). Team Mechanics Materials and High Speed Machining, Optimization of Cutting Parameters of Turning Operations by using Geometric Programming. American Journal of Engineering and Applied sciences, 3(1), 102-108.
- Vinay, V., Ramesh, M. R., & Chakradhar, D. (2018). Experimental Investigation and Optimization of Machining Parameters for Sustainable Machining. Journal of Materials and Manufacturing Processes, 33, 1782-1792.