Evaluation of cylindricity and sphericity from form data using Support vector regression

Vidhya Venkat, M. S. Shunmugam

Abstract

Manufactured components are subjected to measurement in order to verify their conformance to specifications. From the measurement data, approximate functions are established to assess errors on geometry of the components. Misalignment in setting of the components for cylindricity and sphericity measurements leads to certain degree of distortion in the measured data. The size-suppression inherent in these form measurements leads to data representing deviations in microns. Therefore, limacon cylinders and limacoids are respectively used as approximating functions for the evaluation of cylindricity and sphericity errors. In this research, Support Vector Regression has been used to arrive at these functions for minimum zone evaluation.

Keywords

Minimum Zone; Form error; Support Vector Regression; Cylindricity; Sphericity

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IMEKO-TC14-2007-48.pdf

DOI

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IMEKO TC

TC14 - Measurement of Geometrical Quantities

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