Parametric optimization of ultrasonic machining of co-based super alloy using the Taguchi multi-objective approach

被引:19
作者
Kumar V. [1 ]
Khamba J.S. [1 ,2 ]
机构
[1] Mechanical Engineering Department, Thapar University, Patiala
[2] Mechanical Engineering Department, UCOE, Punjabi University, Patiala
关键词
MRR; Multi-objective; Optimization; Tool; Ultrasonic; Wear;
D O I
10.1007/s11740-009-0189-6
中图分类号
学科分类号
摘要
Stellite 6 is the most generally useful cobalt alloy, having excellent resistance to many forms of mechanical and chemical degradation over a wide temperature range. Therefore, in particular, their use in aerospace projects world wide has provided confidence leading to acceptance as prime material for aerospace vehicles in recent years. This paper outlines the effectiveness of the ultrasonic machining of stellite 6 in terms of tool wear rate of the tool used and the material removal rate of work piece produced. The optimum combination of various input factors as type of abrasive slurry, their size and concentration, nature of tool material and power rating of the machine for the ductile chip formation in the machining of stellite 6 has been determined by applying the Taguchi multi-objective optimization technique and F-test. The analysis of results has been done using the statistica 7.0 software and results obtained are validated by conducting the confirmation experiments. The study shows the considerable improvement in multiple S/N ratio as compared to initial cutting conditions. © 2009 German Academic Society for Production Engineering (WGP).
引用
收藏
页码:417 / 425
页数:8
相关论文
共 18 条
[1]  
Sanchez J.A., Lopez De Lacalle L.N., Lamikiz A., Bravo U., Study on gap variation in multi-stage planetary EDM, International Journal of Machine Tools and Manufacture, 46, 12-13, pp. 1598-1603, (2006)
[2]  
Zhang Q.H., Wu C.L., Sun J.L., Jia Z.X., Mechanism of material removal in ultrasonic drilling of engineering ceramics, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 214, 9, pp. 805-810, (2000)
[3]  
Hu P., Zang J.M., Pei Z.J., Treadwell C., Modeling of material removal rate in rotary ultrasonic machining: Designed experiment, J Materi Process Technol, 129, pp. 339-344, (2002)
[4]  
Roy R.K., A Premier on the Taguchi Method, (1990)
[5]  
Jiang B.C., Black J.T., Hool J.N., Wu C.M., Determining robot process capability using Taguchi methods, Robot Comp Integr Manuf, 6, pp. 55-66, (1989)
[6]  
Jiang B.C., Black J.T., Chen D.W., Hool J.N., Taguchi based methodology for determining/optimizing robot process capability, IIE Transac, 23, pp. 169-184, (1991)
[7]  
Rim Wan-Teck, Jang Han-Kee, Kim Kwang-Joon, Dynamic performance improvement of an electrical discharge machine using an experimental design method and experimental modal analysis, International Journal of Machine Tools and Manufacture, 31, 3, pp. 305-314, (1991)
[8]  
Tam S.C., Loh N.H., Miyazawa S., Optimization of the ECM-abrasive polishing of mild steel using response surface methodology, J Mech Work Technol, 19, pp. 109-117, (1989)
[9]  
Chanin M.N., Kuei C.H., Lin C., Using Taguchi design, regression analysis and simulation to study maintenance float systems, Int J Prod Res, 28, pp. 1939-1953, (1990)
[10]  
Kuei C.-H., Sequential experimentation and multilevel taguchi designs in simulation metamodeling of a maintenance float problem, Microelectronics Reliability, 34, 5, pp. 831-843, (1994)