Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

Temperature Measurement of An Inclined Cylinder Using Optical Interferometry

Authors
J.R. Zhu, J.M. Dai, X.M. Cheng, Y.Y. Li
Corresponding Author
J.R. Zhu
Available Online July 2015.
DOI
10.2991/aiie-15.2015.23How to use a DOI?
Keywords
optical interferometry; temperature; elliptic cylinder; fringe center
Abstract

Temperature profile of an inclined elliptic cylinder is studied experimentally using optical interferometry. Interferograms of the elliptical cylinder with an isothermal surface were recorded by He-Ne laser. The cylinder were placed with its major axis inclined 30° with respect to the horizontal. Temperature profile around the cylinder was quantitatively reconstructed from the locations of fringe center. The influence of the inclination on the temperature profile around the cylinder was discussed. The results reveal that no symmetry can be found from the obtained interferogram. Optical interferometry is successfully developed to measure the temperature profile around an elliptic cylinder.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/aiie-15.2015.23
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.23How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - J.R. Zhu
AU  - J.M. Dai
AU  - X.M. Cheng
AU  - Y.Y. Li
PY  - 2015/07
DA  - 2015/07
TI  - Temperature Measurement of An Inclined Cylinder Using Optical Interferometry
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 82
EP  - 84
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.23
DO  - 10.2991/aiie-15.2015.23
ID  - Zhu2015/07
ER  -