Macromodel for Ultrasonic Machining of Titanium and its Alloys: Designed Experiments

Author:

Singh R1,Khamba J S2

Affiliation:

1. Department of Mechanical and Production Engineering, GNDE College, Ludhiana, India

2. Mechanical Engineering Department, Punjabi University, Patiala, India

Abstract

Titanium and its alloys have many potential engineering applications. There has been a critical need for cost-effective machining processes for titanium and its alloys. Not much work hitherto has been reported on the machining of tough materials like titanium by the ultrasonic machining process. An approach to macromodelling of the material removal rate, the tool wear rate, and surface roughness during ultrasonic machining of titanium and its alloys has been proposed and applied. Relationships between material removal rate (MMR), tool wear rate (TWR), surface roughness (SR), and other controllable machining parameters have been deduced by using Taguchi technique L18 orthogonal arrays. The comparison with experimental results will also serve as future validation of the model.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference18 articles.

1. Review on ultrasonic machining

2. Benedict G. F. Non traditional manufacturing processes, 1987, pp. 67–86 (Marcel Dekker, New York and Basel).

3. Singh R., Khamba J. S., Grewal J. S. Machining characteristics optimization using Taguchi technique ultrasonic drilling of titanium alloys. In Proceedings of International Conference on Emerging technologies in intelligent system and control (EISCO-2005), Kumaraguru College of Technology, Coimbatore, India, 5–7 January 2005, pp. 81–87.

4. Singh R., Khamba J. S. Development in USM for drilling of titanium alloys. In Proceedings of National Conference on Advances in condensed matter physics (ACMP-05), TIET Patiala, Punjab, India, 11–12 February 2005, pp. 333–339.

5. Singh R., Khamba J. S. Study of machining characteristics of titanium alloys in ultrasonic machining. In Proceedings of 21st AIMTDR Conference, Vellore Institute of Technology, Tamilnadu, India, 20–22 December 2004, pp. 155–160.

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