Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)

A Real-Time Method to Measure the Deviation of Deep Hole

Authors
Junqiang Liu, Fujia Wu, Xiaobing Gao, Ruicheng Li
Corresponding Author
Junqiang Liu
Available Online April 2018.
DOI
10.2991/cmsa-18.2018.50How to use a DOI?
Keywords
deep hole machining; ultrasonic thickness measurement; deviation of deep hole; error limits
Abstract

The deviation of deep hole’s axis is measured in real-time machining process by using ultrasonic thickness measurement method. A ultrasonic device is designed using 3-points circle method, the polar parameter model of measurement objects is built and the function relationship between object and measured data is established. Grubbs criteria is used to remove the gross error of data aim to the unstable of online measurement. Using error limits is raised to estimate measuring error. It is verified by actual measurement that this method can measure the deviation and its direction of deep hole’s axis accurately in real-time machining process and the measurement error can be controlled under the 2 times of single probe error.

Copyright
© 2018, 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 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
April 2018
ISBN
10.2991/cmsa-18.2018.50
ISSN
1951-6851
DOI
10.2991/cmsa-18.2018.50How to use a DOI?
Copyright
© 2018, 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  - Junqiang Liu
AU  - Fujia Wu
AU  - Xiaobing Gao
AU  - Ruicheng Li
PY  - 2018/04
DA  - 2018/04
TI  - A Real-Time Method to Measure the Deviation of Deep Hole
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 216
EP  - 219
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.50
DO  - 10.2991/cmsa-18.2018.50
ID  - Liu2018/04
ER  -