Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)

Study on Properties of Coal Gangue Derived SiO2 Aerogel and Composite Mortar

Authors
Shuqi Yu, Pinghua Zhu
Corresponding Author
Shuqi Yu
Available Online August 2018.
DOI
https://doi.org/10.2991/caai-18.2018.41How to use a DOI?
Keywords
SiO2 aerogel; composite mortar; preparation technology; coal gangue
Abstract

In the paper, a kind of SiO2 aerogel based on coal gangue was synthesized and its physical properties were investigated. The properties of the composite mortar prepared with the synthesized aerogel as aggregate were further discussed. The results showed that the aerogel gained has a specific surface area of 690 m2/g, a porosity of >90%, an average pore size of 20-50 nm, a density of 0.19 g/cm3, and a thermal conductivity of 26.5×10-3 W/(m·K). The composite mortar was designed by the volume method. The performance of composite mortar with different aerogel content was studied. The results showed that the thermal conductivity, compressive strength and flexural strength of 28 days reached 0.06 W/(m·K), 3.81 MPa and 2.23 MPa, respectively.

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 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
August 2018
ISBN
978-94-6252-595-5
ISSN
2589-4919
DOI
https://doi.org/10.2991/caai-18.2018.41How 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  - Shuqi Yu
AU  - Pinghua Zhu
PY  - 2018/08
DA  - 2018/08
TI  - Study on Properties of Coal Gangue Derived SiO2 Aerogel and Composite Mortar
BT  - Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
PB  - Atlantis Press
SP  - 173
EP  - 176
SN  - 2589-4919
UR  - https://doi.org/10.2991/caai-18.2018.41
DO  - https://doi.org/10.2991/caai-18.2018.41
ID  - Yu2018/08
ER  -