Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)

The Glass-Selection and Structure-Design of Anti-Radiation Excavator Window

Authors
Yongxia Liu, Shuliang Zou, Ruirui Tang
Corresponding Author
Yongxia Liu
Available Online May 2018.
DOI
10.2991/meees-18.2018.33How to use a DOI?
Keywords
lead glass; glass-selection; structure-design; anti-radiation excavator window.
Abstract

In the development of anti-radiation excavator, the structure-design of lead glass windows is a key problem needs to solve. By conducting the irradiation and sun exposure experiment of ZF6 and ZF506 lead glass, we finally decided to use ZF6 lead glass to make the window of anti-radiation excavator. After reading books and conducting experimental research, we decide to increase the thickness of K509 glass at 5 mm on the outer edge of the lead glass’s window.

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 Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/meees-18.2018.33
ISSN
2352-5401
DOI
10.2991/meees-18.2018.33How 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  - Yongxia Liu
AU  - Shuliang Zou
AU  - Ruirui Tang
PY  - 2018/05
DA  - 2018/05
TI  - The Glass-Selection and Structure-Design of Anti-Radiation Excavator Window
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 182
EP  - 186
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.33
DO  - 10.2991/meees-18.2018.33
ID  - Liu2018/05
ER  -