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Development of Regression Model Using Lasso for End Milling on AL6061 Alloy


Affiliations
1 Dept of Mech Engg, MVSR Engg College, Nadergul, Hyderabad, India
2 Dept of Mech Engg, CoE, Osmania University, Hyderabad, India
     

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The development of various non-ferrous materials is increasing at an exponential rate as the usage of non-ferrous materials has seen a greater than before preference over the traditional ferrous metals. Al6061 alloy has become the forerunner and is widely used in various industrial applications. This paper includes the study of machinability properties of Al6061 alloy by performing various experiments under vertical milling machine using HSS end mill cutter. Full-factorial approach was used to conduct the experimentation, a regression model was developed using Least Absolute Shrinkage and Selection Operator (Lasso) between the input parameters and output responses.

Keywords

Al6061, Design of Experiments, End Milling, Lasso, Machinability, Regression Analysis.
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  • Sivarao, FairuzDimin, T.J.S. Anand, RidzuanJamli and A. Kamely, “Surface Quality Investigation of Al 6061-T6511 Using TiALN Coated Milling Tool”, Inl J of Basic & Applied Sciences IJBAS-IJENS Vol: 10 No: 04.

  • Robert Tibshirani, “Regression Shrinkage and Selection via the Lasso”, Journal of the Royal Statistical Society, Series B (Methodological), Volume 58, Issue 1 (1996), 267-288.

  • C A Cantrell, “Technical Note: Review of methods for linear least-squares fitting of data and application to atmospheric chemistry problems”, Atmos. Chem. Phys. Vol. 8, 2008.

  • Donald W Marquardt and Ronald D Snee, “Ridge Regression in Practice”, The American Statistician, Vol. 29, No. 1, 1975.

  • N J D Nagelkerke, “A note on a general definition of the coefficient of determination”, Biometrika, Vol. 78, No. 3, 1991, 691-692.

  • Christophe Leys, Christophe Ley, Oliver Klein, Philippe Bernard, Laurent Licata, “Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median”, Journal of Experimental Social Psychology, 2013.

  • M. K. Pradhan, MayankMeena, ShubhamSen and Arvind Singh, “Multi-Objective Optimization in End Milling of Al-6061 Using Taguchi Based G-PCA”, World Academy of Science, Engg and Technology, Inl J of Mech, Aerospace, Industrial, Mechatronic and Manufacturing Engg Vol: 9, No: 6, 2015.

  • Mathew A. Kuttolamadom, Sina Hamzehlouia and M. Laine Mears, “Effect of Machining Feed on Surface Roughness in Cutting 6061 Aluminum”, Clemson University - Int Center for Automotive Research, 2010-01-0218.

  • Najiha M.S, M.M. Rahman and A.R. Yusoff, “Modeling of The End Milling Process For Aluminium Alloy Aa6061t6 Using HSS Tool”, Intl Conf on Mech Engg Research (ICMER2013), 1-3 July 2013.

  • Prajina N V, T D John, “Multiple Response Optimization of Cutting Forces in End Milling Using Response Surface Methodology and Desirability Function”, Int J of Scientific Research, Vol: 2, Issue: 5, May 2013.

  • V. Devkumar, E. Sreedhar, M.P. Prabakaran, “Optimization of machining parameters on AL 6061 alloy using response surface methodology”, Int J of Applied Research 2015; 1(7): 01-04.

  • ASM Metals Handbook, Vol: 16.

  • S. Madhava Reddy and A. Chennakesava Reddy, “Studies on Process Parameters in End Milling Operations of Aluminium Alloy”, Int J of Engg Research & Technology (IJERT),Vol. 2 Issue 3, March – 2013.

  • Gajanana.S (2002), “Development of Mathematical Model for Maximum Punch Force” Proc of National Conf on Advanced Trends in ME Research and Development, JNTU College of Engg, Ananthapur, 21st Dec, 2002.

  • Gajanana.S,(2006), “Optimization of Process Parameters for Hero Honda Exhaust Valve using Design of Experiments” Proc of National Conference on Recent Advances in Computer Aided Engg, Osmania University, Hyderabad, March 3rd& 4th , 2006.

  • Gajanana.S (2007), “Development of Mathematical Model for EDM Using Two Factorial Design of Experiments” XXIII National Convention of Mech Engineers and National Seminar on ‘Emerging Trends In Manufacturing Systems and Technologies’, Hyderabad, September 10-12, 2007.


Abstract Views: 274

PDF Views: 7




  • Development of Regression Model Using Lasso for End Milling on AL6061 Alloy

Abstract Views: 274  |  PDF Views: 7

Authors

S. Gajanana
Dept of Mech Engg, MVSR Engg College, Nadergul, Hyderabad, India
B. Sureshkumar Reddy
Dept of Mech Engg, MVSR Engg College, Nadergul, Hyderabad, India
A. Krishnaiah
Dept of Mech Engg, CoE, Osmania University, Hyderabad, India

Abstract


The development of various non-ferrous materials is increasing at an exponential rate as the usage of non-ferrous materials has seen a greater than before preference over the traditional ferrous metals. Al6061 alloy has become the forerunner and is widely used in various industrial applications. This paper includes the study of machinability properties of Al6061 alloy by performing various experiments under vertical milling machine using HSS end mill cutter. Full-factorial approach was used to conduct the experimentation, a regression model was developed using Least Absolute Shrinkage and Selection Operator (Lasso) between the input parameters and output responses.

Keywords


Al6061, Design of Experiments, End Milling, Lasso, Machinability, Regression Analysis.

References