Paper Titles
Three-Dimensional Simulation of Micro Air Vehicles with Low-Aspect-Ratio Wings
p.377
Ultraprecision Ductile Grinding of Optical Glass Using Super Abrasive Diamond Wheel
p.382
Residual Area Max Depth Model for Nanoindentation Hardness Size Effect of Single Crystal Silicon
p.389
Ultraprecision Ductile-Regime Cutting of Brittle Materials
p.395
A Study of Factors Affecting Surface Quality in Ultra-Precision Raster Milling
p.400
A Framework of a Model-Based Simulation System for Prediction of Surface Generation in Fast Tool Servo Machining of Optical Microstructures
p.407
Fabrication of Freeform Optics in Ultra-Precision Raster Milling
p.412
A Study of Measurement Technology for Ultra-Precision Freeform Surfaces
p.417
A Framework of an Integrated Platform for Modelling and Measurement of Freeform Surface Generation in Ultra-Precision Raster Milling
p.422

A Study of Factors Affecting Surface Quality in Ultra-Precision Raster Milling

Article Preview

Abstract:

Ultra-precision raster milling is an emerging manufacturing technology for the fabrication of high precision and high quality components with a surface roughness of less than 10 nm and a form error of less than 0.2 μm without the need for any subsequent post polishing. Surface quality of a raster milled surface is affected by process factors and material factors, respectively. The process factors involve cutting conditions, cutting strategies, and relative vibration between the tool and the workpiece which are related to the cutting geometry and the dynamic characteristics of the cutting process. The material factors considered are material property and swelling of the work materials. Due to different cutting mechanics, the process factors affecting the surface quality are more complicated, as compared with ultra-precision diamond turning, such as swing distance and step distance. This paper presents an experimental investigation of the distinctive process factors affecting the surface roughness in ultra-precision multi-axis raster milling. Experimental results indicate that the influence due to the process factors can be minimized through a proper selection of operational settings and better control of dynamic characteristics of the machine.

You might also be interested in these eBooks
Progress of Precision Engineering and Nano Technology View Preview

Info:

Periodical:

Key Engineering Materials (Volume 339)

Pages:

400-406

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.339.400

Citation:

Cite this paper

Online since:

May 2007

Authors:

M.N. Cheng, Chi Fai Cheung, Wing Bun Lee, Sandy To

Keywords:

Dynamic, Surface Quality, Ultra-Precision Raster Milling

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2007 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] J. Ruckman, H. Pollicove and D. Golini: Optoelectronics World (1999), July Issue.

Google Scholar

[2] B.K. Choi, C.S. Jun: CAD, Vol. 21 (1989) No. 6, pp.371-378.

Google Scholar

[3] G. Elber, E. Cohen: Computer-Aided Design, Vol. 26 (1994) No. 6, pp.490-496.

Google Scholar

[4] Y.H. Chen., Y.S. Lee, S.C. Fan: Journal of Manufacturing Systems, Vol. 17 (1998) No. 5, pp.371-388.

Google Scholar

[5] G. Elber and E. Cohen: Computer-Aided Design, Vol. 31 (1999) No. 13, pp.795-804.

Google Scholar

[6] M. Balasubramaniam, S. Ho, S. Sarma and Y. Adachi: CAD, Vol. 34 (2002), pp.267-279.

Google Scholar

[7] W.B. Lee, D. Gao, C.F. Cheung and J.G. Li: Journal of Mater. Processing Technology, Vol. 140 (2003) No. 1-3, pp.211-216.

Google Scholar

[8] T. Sata, M. Li, S. Takata, H. Hiraoka, C.Q. Li, X.Z. Xing and X.G. Xiao: Annals of the CIRP, Vol. 34 (1985) No. 1, pp.473-476.

DOI: 10.1016/s0007-8506(07)61814-9

Google Scholar

[9] Y. Furukawa, N. Moronuki: Annals of the CIRP, Vol. 37 (1988) No. 1, p.113.

Google Scholar

[10] J.D. Kim and D.S. Kim: Journal of Mater. Processing Techno, Vol. 49 (1995), p.387.

Google Scholar

[11] S.C. Lin, M.F. Chang: Intl. Journal of Machine Tools and Manufacture, Vol. 38 (1998) No. 7, pp.763-782.

Google Scholar

[12] P.G. Benardos, G.C. Vosniakos: Intl Journal of Machine Tools and Manufacture, Vol. 43 (2003) No. 8, pp.833-844.

DOI: 10.1016/s0890-6955(03)00059-2

Google Scholar

[13] C.F. Cheung, W.B. Lee: Mater. and Manufacturing Processes, Vol. 15 (2000) No. 4, pp.481-502.

Google Scholar

[14] D.J. Whitehouse: Institute of Physics Pub. Bristol, Philadelphia (1994).

Google Scholar