An Empirical Approach for Identification of Sources of Machining Errors in Ultra-Precision Raster Milling

Suet  To; Hao Wang; Bing Li; Chi Fai Cheung

doi:10.4028/www.scientific.net/KEM.364-366.986

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An Empirical Approach for Identification of Sources of Machining Errors in Ultra-Precision Raster Milling

Abstract:

Ultra-precision raster milling is one of the most significant techniques for the fabrication of high precision components with the surface roughness less than 10nm and form errors less than 0.2 um, without the need for any subsequent polishing. However, no matter how well a machine may be designed, there is a limit to the accuracy that can be achieved. This paper studies the machining errors caused by the diamond tool and the axis motions using Freeform 705G. With an empirical approach, the error sources are separated based on their effects on the surface finish. The main source leading to poor surface finish is identified. This establishes a basis for subsequent error compensation and equipment maintenance.

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Periodical:

Key Engineering Materials (Volumes 364-366)

Pages:

986-991

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.364-366.986

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Online since:

December 2007

Authors:

Suet To, Hao Wang, Bing Li, Chi Fai Cheung

Keywords:

Empirical Approach, Source Identification, Sources of Machining Error

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References

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