1999 then a statistical method was proposed in order

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Unformatted text preview: efforts made to reduce the statistical bias in the derived signature. It permits also integrating the cutting edges geometry. Therefore, a quasi completely analytical resolution of the cut heights leads to low computing time. The signature of the surface has first been defined as the repartition of the points around the ideal feature. This concept has been introduced to extend the best fit criteria, to the analysis of surfaces acquired with optical probes. The milling simulation model integrates the influence of the cutting parameters, the cutting edges geometry and also the strategy employed in machining. The results show that the model predictions are suitable for the followed objective and demonstrate that the signature left by an end milling operation does not match with a Gaussian or uniform distribution. Future work will develop a new best fit approach that accounts for the surface signatures left by the machining processes. An inverse method will then be used to retrieve most machining conditions from the set of measured coordinates. REFERENCES [Bachman et al., 2004] J. Bachmann, J.M. Linares, J.M. Sprauel, P. Bourdet, “Aide in decision making: Contribution to uncertainties in 3D measurements”, International Journal of Precision Engineering, Els...
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This note was uploaded on 08/03/2010 for the course DD 1234 taught by Professor Zczxc during the Spring '10 term at Magnolia Bible.

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