Optimal machining conditions for turning Ti-6Al-4V using response surface methodology

  • Satyanarayana Kosaraju Venu Gopal Anne
Expand
  • Department of Mechanical Engineering, National Institute of Technology, Warangal 506004, Andhra Pradesh, India
e-mail: satyanarayana.k@nitw.ac.in

Received date: 2013-07-24

  Revised date: 2013-11-05

  Online published: 2013-11-15

Abstract

Machining titanium is one of ever-increasing magnitude problems due to its characteristics such as low thermal conductivity, modulus of elasticity and work
hardening. The efficient titanium alloy machining involves a proper selection of process parameters to minimize the tangential force (Fz) and surface roughness (Ra). In the present work, the performance of PVD/TiAlN coated carbide inserts was investigated using response surface methodology (RSM) for turning Ti-6Al-4V. The effects of process parameters such as speed (v), feed (f), depth of cut (d) and back rake angle (γy) on Fz and Ra were investigated.
The experimental plan used for four factors and three levels was designed based on face centered, central composite design (CCD). The experimental results indicated that Fz increased with the increase in d, f and decreased with the increase in v and γy, whereas Ra decreased with the increase in v and γy, and increased with d and v. The goodness of fit of the regression equations and model fits (R 2) for Fz and Ra were found to be 0.968 and 0.970, which demonstrated that it was an effective model. A confirmation test was also conducted in order to verify the correctness of the model.

Cite this article

Satyanarayana Kosaraju Venu Gopal Anne . Optimal machining conditions for turning Ti-6Al-4V using response surface methodology[J]. Advances in Manufacturing, 2013 , 1(4) : 329 -339 . DOI: 10.1007/s40436-013-0047-9

References

1. Donachie MJ Jr, ASM International (2000) Titanium: a technical guide, 2nd edn. Material Information Society, Materials Park,pp 79–84

2. Ezugwu EO, Wang ZM (1997) Titanium alloys and their machinability—a review. J Mater Process Technol 68(3):262–274

3. Komanduri R, Von Turkovich BF (1981) New observations on the mechanism of chip formation when machining titanium alloys. Wear 69(2):179–188

4. Hong HATJM, Riga AT, Gahoon JM, Scott CG (1993) Machinability of steels and titanium alloys under lubrication.Wear 162:34–39

5. Kramer BM, Hartung PD (1981) Theoretical considerations in the machining of nickel-based alloys. In: Cutting Tool Materials.ASM, Materials Park, Ohio, pp 57–74

6. Noordin MY, Venkatesh VC, Sharif S, Elting S, Abdullah A (2004) Application of response surface methodology in describing the performance of coated carbide tools when turning AISI 1045 steel. J Mater Process Technol 145(1):46–58

7. Montgomery DC (1997) Design and analysis of experiments, 4th edn. Wiley, New York

8. Thiele JD, Melkote S (1999) Effect of cutting edge geometry and workpiece hardness on surface generation in the finish hard turning of AISI 52100 steel. J Mater Process Technol 94(2):216–226

9. Nes¸eli S, Yald?z S, Tu¨rkes¸ E (2011) Optimization of tool geometry parameters for turning operations based on the response surface methodology. Measurement 44(3):580–587

10. Masounave J, Youssef YA, Beauchamp Y, Thomas M (1997) An experimental design for surface roughness and built-up edge formation in lathe dry turning. Int J Qual Sci 2(3):167–180

11. Makadia AJ, Nanavati JI (2013) Optimization of machining parameters for turning operations based on response surface methodology. Measurement 46(6):1521–1529

12. Choudhury IA, El-Baradie MA (1997) Surface roughness prediction in the turning of high-strength steel by factorial design of experiments. J Mater Process Technol 67(1):55–61

13. Fnides B, Yallese MA, Mabrouki T, Rigal JF (2011) Application of response surface methodology for determining cutting force model in turning hardened AISI H11 hot work tool steel. Sadhana 36(1):109–123

14. Saini S, Ahuja IS, Sharma VS (2012) Influence of cutting parameters on tool wear and surface roughness in hard turning of AISI H11 tool steel using ceramic tools. Int J Precis Eng Manuf 13(8):1295–1302

15. Mandal N, Doloi B, Mondal B (2012) Force prediction model of zirconia toughened alumina (ZTA) inserts in hard turning of AISI 4340 steel using response surface methodology. Int J Precis Eng Manuf 13(9):1589–1599

16. Tsourveloudis NC (2010) Predictive modelling of the Ti6Al4V alloy surface roughness. J Intell Robot Syst 60(3–4):513–530

17. Ramesh S, Karunamoorthy L, Palanikumar K (2008) Surface roughness analysis in machining of titanium alloy. Mater Manuf Process 23(2):174–181

18. Makadia AJ, Nanavati JI (2013) Optimization of machining parameters for turning operations based on response surface methodology. Measurement 46(1):1521–1529
Outlines

/