Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Data Analysis on Adhesive Property Testing Methods of Hot-melt Pressure-sensitive Adhesive with Styrene Thermoplastic Elastomer

Authors
Ning-bo Huo, Hong-xia Li, Xiao-jing Jia
Corresponding Author
Ning-bo Huo
Available Online July 2017.
DOI
10.2991/iccse-17.2017.13How to use a DOI?
Keywords
Hot-melt pressure-sensitive adhesive, Adhesive property, Peeling strength, Test method
Abstract

In this study, the adhesive property testing methods of hot-melt pressure-sensitive adhesive containing styrene thermoplastic elastomer used in Non-woven material surface bond were studied. The coating thickness, sticking time before test, aging time, peeling rate, angle of initial adhesion test and material of permanent adhesion test were analyzed, which refers to the parameters in the process of test samples preparation. The experiment results showed that the HDPE test plate is better than the traditional steel test plate for the measurement of the HMPSA permanent adhesion.

Copyright
© 2017, 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 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
Series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
10.2991/iccse-17.2017.13
ISSN
2352-538X
DOI
10.2991/iccse-17.2017.13How to use a DOI?
Copyright
© 2017, 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  - Ning-bo Huo
AU  - Hong-xia Li
AU  - Xiao-jing Jia
PY  - 2017/07
DA  - 2017/07
TI  - Data Analysis on Adhesive Property Testing Methods of Hot-melt Pressure-sensitive Adhesive with Styrene Thermoplastic Elastomer
BT  - Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
PB  - Atlantis Press
SP  - 69
EP  - 75
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.13
DO  - 10.2991/iccse-17.2017.13
ID  - Huo2017/07
ER  -