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In-process surface profile assessment of rotary machined timber using a dynamic photometric stereo technique.pdf (939.68 kB)

In-process surface profile assessment of rotary machined timber using a dynamic photometric stereo technique

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journal contribution
posted on 2014-07-02, 12:15 authored by Phil Ogun, Michael Jackson, Robert M. Parkin
Machining operations have advanced in speed and there is an increasing demand for higher quality surface finish. It is therefore necessary to develop real-time surface inspection techniques which will provide sensory information for controlling the machining processes. This paper describes a practical method for real-time analysis of planed wood using the photometric stereo technique. Earlier research has shown that the technique is very effective in assessing surface waviness on static wood samples. In this paper, the photometric stereo method is extended to real industrial applications where samples are subjected to rapid movements. Surface profiles extracted from the dynamic photometric stereo method are compared with those from the static measurements and the results show that there is a high correlation between the two methods.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING

Volume

226

Issue

I6

Pages

823 - 830 (8)

Citation

OGUN, P.S., JACKSON, M.R. and PARKIN, R.M., 2012. In-process surface profile assessment of rotary machined timber using a dynamic photometric stereo technique. Proceedings of the Institution of Mechanical Engineers, Part I - Journal of Systems and Control Engineering, 226 (6), pp. 823 - 830.

Publisher

Sage Publications / © IMechE

Version

  • AM (Accepted Manuscript)

Publication date

2012

Notes

This article was published in the journal, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering [Sage Publications / © IMechE]. The definitive version is available at: http://dx.doi.org/10.1177/0959651811433121

ISSN

0959-6518

Language

  • en

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