Journal Press India®

Effect of Rake Angle on Surface Roughness in CNC Turning

Vol 2 , Issue 2 , April - June 2014 | Pages: 130-138 | Research Paper  

https://doi.org/10.51976/ijari.221420

| | |


Author Details ( * ) denotes Corresponding author

1. * Ranganath M. S., Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India (ranganathdce@gmail.com)
2. Vipin Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India

The work and study presented in this paper aims to investigate the effect of rake angle on surface roughness in CNC turning of Aluminium (6061) with keeping other machining parameters such as cutting speed, feed rate and depth of cut as constant. Three positive rake angled tools selected to study and analyze the effect of cutting conditions on surface roughness. Design of experiments were conducted for the analysis of the influence of the turning parameters on the surface roughness by using Taguchi design and then followed by optimization of the results using Analysis of Variance to find minimum surface roughness. It was observed that the surface roughness decreases with increase in rake angle.

Keywords

Aluminium (6061); Rake Angle; Surface Roughness; CNC Turning.


  1. A. V. N. L. Sharma, K. Venkatasubbaiah, P. S. N. Raju, Parametric Analysis And Multi Objective Optimization Of Cutting Parameters In Turning Operation Of EN353 – With CVD Cutting Tool Using Taguchi Method, Journal Of Engineering And Innovative Technology (IJEIT), 2, 2013

  2. P. Ananthakumar, M. Ramesh., Parameshwari, Optimization Of Turning Process Parameters Using Multivariate Statistical Method-PCA Coupled With Taguchi Method International Journal of Scientific Engineering And Technology, 2(4), 263-267, 2013

  3. A. E. Cerenitti, B. P. Fallbohmer, W. Wu, B. T. Altan, App. of 2D FEM to chip formation in orthogonal cutting, Journal of Materials Processing Technology, 59, 169-180, 1996

  4. Choudhury, M.A. El-Baradie, Surface roughness prediction in the turning of high strength steel by factorial design of experiments, Journal of Materials Processing technology, 67, 1997, 55-67.

  5. D. Philip Selvaraj, P. Chandramohan, Optimization Of Surface Roughness Of AISI 304 Austenitic Stainless Steel In Dry Turning Operation Using Taguchi Design Method, Journal Of Engineering Science And Technology, 5(3), 2010, 293 – 301

  6. A. K. Ghani, I. A. Choudhury, Husni, Study of tool life, surface roughness & vibration in machining nodular cast iron with ceramic tool, J of Material Processing Technology, 127, 17–22, 2002

  7. Hascalik, A. Caydas, U., Optimization of turning parameter for surface roughness and tool life based on the Taguchi method, Int. J. Advanced Manufacturing Technology, 38, 1148-1156, 2008

  8. H. Yanda, J. A. Ghani, M. N. A. M. Rodzi, K. Othman, C.H.C. Haron, [2010]”Optimization of Material Removal Rate, Surface Roughness and Tool Life on Conventional Dry Turning Of FCD700, International Journal of Mechanical and Materials Engineering, 5(2), 2010, 182-190

  9. Ilhan Asiltürk, Harun Akkus, Determining The Effect Of Cutting Parameters On Surface Roughness In Hard Turning Using the Taguchi Method” Measurement 44, 1697–1704, 2011

  10. K. Mani lavanya, R. K. Suresh, A. Sushil Kumar Priya, V. Diwakar Reddy, Optimization Of Process Parameters In Turning Operation Of AISI-1016 Alloy Steels With CBN Using Taguchi Method And Anova” IOSR Journal Of Mechanical And Civil Engineering (IOSR-JMCE), 7(2), 24-27

  11. M. Kurt, E. Bagci, Y. Kaynal, App. of Taguchi methods in the optimization of cutting parameters for surface finish and hole diameter accuracy in dry drilling processes, Int. Journal Advanced Manufacturing Technology, 40, 458-469, 2009

  12. M. Kaladhar, K. V. Subbaiah, Ch. Srinivasa Rao, K. Narayana Rao Application Of Taguchi Approach And Utility Concept In Solving The Multi-Objective Problem When Turning AISI 202 Austenitic Stainless Steel”Journal of Engineering Science And Technology Review 4 (1) 55-61, 2011

  13. Marinković Velibor, Madić Miloš, Optimization Of Surface Roughness In Turning Alloy Steel By Using Taguchi Method” Scientific Research And Essays Vol. 6(16), 3474-3484, 2011

  14. Naveen, A. Sait, S, Aravindan, Noorul Haq., A., Influence of machining parameters on surface roughness of GFRP pipes”. Journal of Advances on Production Engineering and Management, 4 (1-2), 47-58, 2009

  15. L. Palanikumar, R. Karunamoorthy, Krathikeyan [2006] “Assessment of factors influencing surface roughness on the machining of glass– reinforced polymer composites”, Journal of Materials and Design, 27, 2006, 862-871

  16. R. S. Pawade, S. S. Joshi, P. K. Brahmankar, Effect of machining parameters and cutting edge geometry on surface integrity of high speed machining turned Inconel 718, Int. J. Machining, Tools Manufacturing, 48, 15-28, 2008

  17. Puertas Arbizu, C.J. Luis Perez, Surface roughness prediction by factorial design of experiments in turning processes”, Journal of Materials Processing Technology, 143- 144, 2003, 390-396

  18. L. Qian, M. R Hossan, Effect on cutting force in turning hardened tool steels with cubic boron nitride insert, J of Materials Processing Technology, 191, 274-278, 2007

  19. Rahul Davis, Jitendra Singh Madhukar, Vikash Singh Rana, Prince Singh, Optimization of Cutting Parameters in Dry Turning Operation of EN24 Steel. International Journal of Emerging Technology and Advanced Engineering, 2(10), 2012

  20. Ranganath M S, Vipin, Experimental Investigations on Surface Roughness for Turning of Alumunium (6061) Using Regression Analysis” Journal of Modeling and Simulation in Design and Manufacturing, 3 (1&2), 2013, 190-196

  21. Ranganath M S, Vipin, R S Mishra, Optimization Of Process Parameters In Turning Operation Of Aluminium (6061) With Cemented Carbide Inserts Using Taguchi Method And ANOVA International Journal of Advance Research and Innovation, 1, 2013, 13-21

  22. Ranganath M S, Vipin, Optimization Of Process Parameters In Turning Using Taguchi Method And ANOVA A Review, International Journal of Advance Research and Innovation, 1, 2013, 31-45

  23. Ranganath M S, Vipin, R S Mishra, Neural Network Process Modelling for Turning of Aluminium (6061) using Cemented Carbide Inserts, International Journal of Advance Research and Innovation, 3, 2013, 211-219

  24. Ranganath M S, Vipin, R S Mishra, Application of ANN for Prediction of Surface Roughness in Turning Process A Review, International Journal of Advance Research and Innovation, 3, 2013, 229-233

  25. Ranganath M S, Vipin, R S Mishra, 2014, Effect of Cutting Parameters on MRR and Surface Roughness in Turning of Aluminium (6061), International Journal of Advance Research and Innovation, 1, 2014, 32-39

  26. Ranganath M S, Vipin, R S Mishra, Optimization of Surface Roughness and Material Removal Rate on Conventional Dry Turning of Aluminium (6061), International Journal of Advance Research and Innovation, 1, 2014, 62-71

  27. L. L. R. Rodrigues, A. N. Kantharaj, B. Kantharaj, W. R. C. Freitas, B. R. N. Murthy, Effect Of Cutting Parameters On Surface Roughness And Cutting Force In Turning Mild Steel” Research Journal Of Recent Sciences International Science Congress Association, 1(10), 19-26, 2012

  28. T. Tamizharasan, T. Selvaraj, A. Noorul HagAnalysis of tool wear and surface finish in hard turning, International Journal of Advanced Manufacturing Technology, 2005

  29. Vipin, Harish Kumar, Surface Roughness Prediction Model By Design of Experiments For Turning Leaded Gun Metal, International Journal of Applied Engineering Research, 4(12), 2621–2628

  30. X.L. Liu, D.H. Wen, Z.J. Li,. Xiao, .G. Yan, Experimental study on hard turning of hardened GCr15 steel with PCBN tool, Journal of Materials Processing Technology, 129, 2002, 217-221

  31. Yigit Kazancoglu, Ugur Esme, Melih Bayramo glu, Onur Guven, Sueda Ozgun, Multi-Objective Optimization Of The Cutting Forces In Turning Operations Using The Grey-Based Taguchi Method, Original Scientific Article/Izvirni Znanstveni ~Lanek MTAEC9, 45(2)105, 2011.

  32. R. Yigit, E. Celik, F. Findik, S. Koksal, Effect of cutting speed on the performance of coated and uncoated cutting tools in turning nodular cast iron, Int. J of Materials Processing Technology, 204, 80-88, 2008

Abstract Views: 1
PDF Views: 105

Advanced Search

News/Events

Indira School of Bus...

Indira School of Mangement Studies PGDM, Pune Organizing Internatio...

Indira Institute of ...

Indira Institute of Management, Pune Organizing International Confe...

D. Y. Patil Internat...

D. Y. Patil International University, Akurdi-Pune Organizing Nation...

ISBM College of Engi...

ISBM College of Engineering, Pune Organizing International Conferen...

Periyar Maniammai In...

Department of Commerce Periyar Maniammai Institute of Science &...

Institute of Managem...

Vivekanand Education Society's Institute of Management Studies ...

Institute of Managem...

Deccan Education Society Institute of Management Development and Re...

S.B. Patil Institute...

Pimpri Chinchwad Education Trust's S.B. Patil Institute of Mana...

D. Y. Patil IMCAM, A...

D. Y. Patil Institute of Master of Computer Applications & Managem...

Vignana Jyothi Insti...

Vignana Jyothi Institute of Management International Conference on ...

By continuing to use this website, you consent to the use of cookies in accordance with our Cookie Policy.