Investigations for Statistically Controlled Tool Wear Solution of Titanium Alloys Using Ultrasonic Machining
Keywords:
Tool wear rate, Titanium alloys, Statistically controlled, Ultrasonic machiningAbstract
The purpose of present work is to study process capability of ultrasonic machining (USM). Relationships between tool wear rate (TWR) and other controllable machining parameters (like: power rating; tool type; slurry concentration; slurry type; slurry temperature and slurry size) have been deduced. The results of study suggest that optimum TWR result based upon Taguchi model for USM process is under statistical control.
References
1. Singh R, Khamba JS. Ultrasonic machining of titanium and its alloys: A Review. Journal of Material Processing Technology 2006; 173(2): 125- 35.
2. Singh R. Investigating the machining characteristics of titanium alloys using ultrasonic machining. In: Ph.D. Thesis, T.I.E.T., Patiala, India. 2006. pp. 22-67.
3. Verma DRSV, Nanda Gopal BG, Srinivasulu K, et al. Effect of pre-drilled holes on tool life in turning of aerospace titanium alloys. National Conference on Advances in Manufacturing System (AMS-03), Jadavpur University, Kolkata, India. 2003. pp 42-47.
4. Singh R, Khamba JS. Silicon carbide slurry effect in ultrasonic assisted drilling of titanium alloy (TITAN15). Journal of Manufacturing Technology 2003; 2(7): 08-11.
5. Dornfeld DA, Kim JS, Dechow H, et al. Drilling burr formation in titanium alloy Ti-6Al-4V. Annals of CIRP 1999; 48(1): 73-6.
6. Singh R, Khamba JS. Mathematical modeling of surface roughness in ultrasonic machining of titanium using Buckingham-2 approach: a review. International Journal of Abrasive Technology 2009; 2(1): 03-24.
7. Singh R, Khamba JS. Tool manufacturing technique in ultrasonic drilling machine. Journal of Manufacturing Technology 2004; 3(1): 05-7.
8. Singh R, Khamba JS. Investigations for ultrasonic machining of titanium and its alloys. Journal of Material Processing Technology 2007; 183(2-3): 363-7.
9. Benedict Gary F. Non traditional manufacturing processes. Marcel Dekker, Inc., USA. 1987. 67-86.
10. Thoe TB, Aspinwall DK, Wise MLH. Review on ultrasonic machining. International Journal of Machine Tools Manufacture 1998; 38(4): 239-55.
11. Singh R, Khamba JS. Macro-model for ultrasonic machining of titanium and its alloys: designed experiments. Journal of Engineering Manufacture 2007; B2: 221-9.
12. Singh R, Khamba JS. Comparison of slurry effect on machining characteristics of titanium in ultrasonic drilling. Journal of Material Processing Technology 2008; 197(1-3): 200-5.
13. Singh R, Khamba JS. Mathematical modeling of tool wear rate in ultrasonic machining of titanium. The International Journal of Advanced Manufacturing Technology 2009.
14. Taguchi G, Konishi S. (1987) Orthogonal arrays and linear graphs, Dearborn, MI: ASI Press. 1987.
15. Kumar J, Khamba JS, Mohapatra SK. Investigating and modeling tool wear rate in the ultrasonic machining of titanium. International Journal of Advanced Manufacturing Technology 2008.
16. Kumar J, Khamba JS. An experimental study on ultrasonic machining of pure titanium using designed experiments. Journal of the Brazilian Society of Mechanical Sciences and Engineering 2008; 30(3): 231-8.
17. Phadke MS. Quality engineering using robust design. AT and T Bell laboratories, PTR Prentice- Hall, Inc., NJ, USA, 1989. pp 231-249.
18. Devor RE., Chang T, Sutherland JW. Statistical quality design and control contemporary concepts and methods. Pearson Prentice Hall (Second edition), New Jersey, 2008. pp. 78-91.
2. Singh R. Investigating the machining characteristics of titanium alloys using ultrasonic machining. In: Ph.D. Thesis, T.I.E.T., Patiala, India. 2006. pp. 22-67.
3. Verma DRSV, Nanda Gopal BG, Srinivasulu K, et al. Effect of pre-drilled holes on tool life in turning of aerospace titanium alloys. National Conference on Advances in Manufacturing System (AMS-03), Jadavpur University, Kolkata, India. 2003. pp 42-47.
4. Singh R, Khamba JS. Silicon carbide slurry effect in ultrasonic assisted drilling of titanium alloy (TITAN15). Journal of Manufacturing Technology 2003; 2(7): 08-11.
5. Dornfeld DA, Kim JS, Dechow H, et al. Drilling burr formation in titanium alloy Ti-6Al-4V. Annals of CIRP 1999; 48(1): 73-6.
6. Singh R, Khamba JS. Mathematical modeling of surface roughness in ultrasonic machining of titanium using Buckingham-2 approach: a review. International Journal of Abrasive Technology 2009; 2(1): 03-24.
7. Singh R, Khamba JS. Tool manufacturing technique in ultrasonic drilling machine. Journal of Manufacturing Technology 2004; 3(1): 05-7.
8. Singh R, Khamba JS. Investigations for ultrasonic machining of titanium and its alloys. Journal of Material Processing Technology 2007; 183(2-3): 363-7.
9. Benedict Gary F. Non traditional manufacturing processes. Marcel Dekker, Inc., USA. 1987. 67-86.
10. Thoe TB, Aspinwall DK, Wise MLH. Review on ultrasonic machining. International Journal of Machine Tools Manufacture 1998; 38(4): 239-55.
11. Singh R, Khamba JS. Macro-model for ultrasonic machining of titanium and its alloys: designed experiments. Journal of Engineering Manufacture 2007; B2: 221-9.
12. Singh R, Khamba JS. Comparison of slurry effect on machining characteristics of titanium in ultrasonic drilling. Journal of Material Processing Technology 2008; 197(1-3): 200-5.
13. Singh R, Khamba JS. Mathematical modeling of tool wear rate in ultrasonic machining of titanium. The International Journal of Advanced Manufacturing Technology 2009.
14. Taguchi G, Konishi S. (1987) Orthogonal arrays and linear graphs, Dearborn, MI: ASI Press. 1987.
15. Kumar J, Khamba JS, Mohapatra SK. Investigating and modeling tool wear rate in the ultrasonic machining of titanium. International Journal of Advanced Manufacturing Technology 2008.
16. Kumar J, Khamba JS. An experimental study on ultrasonic machining of pure titanium using designed experiments. Journal of the Brazilian Society of Mechanical Sciences and Engineering 2008; 30(3): 231-8.
17. Phadke MS. Quality engineering using robust design. AT and T Bell laboratories, PTR Prentice- Hall, Inc., NJ, USA, 1989. pp 231-249.
18. Devor RE., Chang T, Sutherland JW. Statistical quality design and control contemporary concepts and methods. Pearson Prentice Hall (Second edition), New Jersey, 2008. pp. 78-91.
Published
2019-01-07
Issue
Section
Research Article
