A method for the selection of algorithms for form characterisation of nominally spherical surfaces
A method for the selection of algorithms for form characterisation of nominally spherical surfaces
This paper presents a method for the selection of algorithms for the form characterization of nominally spherical surfaces. The form characterization is applied to discrete data obtained from a three-dimensional (3-D) high-precision measurement system. In this paper, five sphere-fitting algorithms are outlined and compared.
The fitting algorithms under investigation are: linear and nonlinear least-squares sphere fit, minimum zone sphere fit, four-point sphere fit, and sphere fit by error curve analysis. A method for selection of the best-fit algorithm, based on a spectral analysis of the surface irregularity is suggested and applied to the surface measurement of worn electrical switching contacts.
surface metrology, form characterization, sphere fitting, method of least squares, minimum zone method, four-point sphere fit, error curve analysis
127-138
Jung, M.
31725b8a-f72c-486b-8f3a-2a9e34670e03
Cross, K.J.
6d26e05d-3a5d-40bb-9529-4ce7f0c8320d
McBride, J.W.
d9429c29-9361-4747-9ba3-376297cb8770
Hill, M.
0cda65c8-a70f-476f-b126-d2c4460a253e
April 2000
Jung, M.
31725b8a-f72c-486b-8f3a-2a9e34670e03
Cross, K.J.
6d26e05d-3a5d-40bb-9529-4ce7f0c8320d
McBride, J.W.
d9429c29-9361-4747-9ba3-376297cb8770
Hill, M.
0cda65c8-a70f-476f-b126-d2c4460a253e
Jung, M., Cross, K.J., McBride, J.W. and Hill, M.
(2000)
A method for the selection of algorithms for form characterisation of nominally spherical surfaces.
Precision Engineering, 24 (2), .
(doi:10.1016/S0141-6359(99)00036-7).
Abstract
This paper presents a method for the selection of algorithms for the form characterization of nominally spherical surfaces. The form characterization is applied to discrete data obtained from a three-dimensional (3-D) high-precision measurement system. In this paper, five sphere-fitting algorithms are outlined and compared.
The fitting algorithms under investigation are: linear and nonlinear least-squares sphere fit, minimum zone sphere fit, four-point sphere fit, and sphere fit by error curve analysis. A method for selection of the best-fit algorithm, based on a spectral analysis of the surface irregularity is suggested and applied to the surface measurement of worn electrical switching contacts.
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More information
Published date: April 2000
Keywords:
surface metrology, form characterization, sphere fitting, method of least squares, minimum zone method, four-point sphere fit, error curve analysis
Identifiers
Local EPrints ID: 21453
URI: http://eprints.soton.ac.uk/id/eprint/21453
ISSN: 0141-6359
PURE UUID: 002dd1ee-3153-4f76-ab4e-7b4b94831bd8
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Date deposited: 19 Jul 2006
Last modified: 16 Mar 2024 02:40
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Contributors
Author:
M. Jung
Author:
K.J. Cross
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