Fatigue analysis of graphene oxide papers fabricated under various processing parameters

Hsien Kuang Liu; Shun Fa Hwang; Shih Hung Yang; Chung Hsiang Lei

doi:10.1111/ffe.13289

Fatigue analysis of graphene oxide papers fabricated under various processing parameters

Hsien Kuang Liu
, Shun Fa Hwang
, Shih Hung Yang
, Chung Hsiang Lei

研究成果: Article › 同行評審

2 引文斯高帕斯（Scopus）

摘要

The effects of processing parameters on fatigue lives of graphene oxide papers (GOP) and reduced GOP (RGOP) are investigated. The fabrication method could be either vacuum filtration or pressure filtration, and the important processing parameters include graphene weight fraction in suspension, sonication time for suspension and pressure value for pressure filtration. Fatigue performance of the papers are studied by strain-controlled fatigue test. Under vacuum filtration method, fatigue lives of both GOP and RGOP decrease with increasing graphene weight fraction. The longest fatigue life is 403 284 cycles for the GOP under highest power sonication time and lowest graphene weight fraction. Fatigue lives of most GOP increase with increasing sonication time up to medium level. Under pressure filtration method, all GOP have shorter fatigue lives than those by vacuum filtration. Scanning electron microscopy is employed to carefully analyse the failed papers in order to clarify the fatigue failure mechanism.

原文	English
頁（從 - 到）	1-11
頁數	11
期刊	Fatigue and Fracture of Engineering Materials and Structures
卷	43
發行號	10
DOIs	https://doi.org/10.1111/ffe.13289
出版狀態	Accepted/In press - 2020 7月

All Science Journal Classification (ASJC) codes

一般材料科學
材料力學
機械工業

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10.1111/ffe.13289

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引用此

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title = "Fatigue analysis of graphene oxide papers fabricated under various processing parameters",

abstract = "The effects of processing parameters on fatigue lives of graphene oxide papers (GOP) and reduced GOP (RGOP) are investigated. The fabrication method could be either vacuum filtration or pressure filtration, and the important processing parameters include graphene weight fraction in suspension, sonication time for suspension and pressure value for pressure filtration. Fatigue performance of the papers are studied by strain-controlled fatigue test. Under vacuum filtration method, fatigue lives of both GOP and RGOP decrease with increasing graphene weight fraction. The longest fatigue life is 403 284 cycles for the GOP under highest power sonication time and lowest graphene weight fraction. Fatigue lives of most GOP increase with increasing sonication time up to medium level. Under pressure filtration method, all GOP have shorter fatigue lives than those by vacuum filtration. Scanning electron microscopy is employed to carefully analyse the failed papers in order to clarify the fatigue failure mechanism.",

author = "Liu, \{Hsien Kuang\} and Hwang, \{Shun Fa\} and Yang, \{Shih Hung\} and Lei, \{Chung Hsiang\}",

note = "Funding Information: Authors are grateful for the financial support from Ministry of Science and Technology, Taiwan, on this work under contract MOST 105‐2221‐E‐035‐028, 108‐2636‐E‐006‐010, 109‐2636‐E‐006‐010 (Young Scholar Fellowship Programme). We also are grateful for the support from the Headquarters of University Advancement at the National Cheng Kung University, which is sponsored by the Ministry of Education, Taiwan. Publisher Copyright: {\textcopyright} 2020 Wiley Publishing Ltd.",

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language = "English",

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AU - Liu, Hsien Kuang

AU - Hwang, Shun Fa

AU - Yang, Shih Hung

AU - Lei, Chung Hsiang

N1 - Funding Information: Authors are grateful for the financial support from Ministry of Science and Technology, Taiwan, on this work under contract MOST 105‐2221‐E‐035‐028, 108‐2636‐E‐006‐010, 109‐2636‐E‐006‐010 (Young Scholar Fellowship Programme). We also are grateful for the support from the Headquarters of University Advancement at the National Cheng Kung University, which is sponsored by the Ministry of Education, Taiwan. Publisher Copyright: © 2020 Wiley Publishing Ltd.

PY - 2020/7

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N2 - The effects of processing parameters on fatigue lives of graphene oxide papers (GOP) and reduced GOP (RGOP) are investigated. The fabrication method could be either vacuum filtration or pressure filtration, and the important processing parameters include graphene weight fraction in suspension, sonication time for suspension and pressure value for pressure filtration. Fatigue performance of the papers are studied by strain-controlled fatigue test. Under vacuum filtration method, fatigue lives of both GOP and RGOP decrease with increasing graphene weight fraction. The longest fatigue life is 403 284 cycles for the GOP under highest power sonication time and lowest graphene weight fraction. Fatigue lives of most GOP increase with increasing sonication time up to medium level. Under pressure filtration method, all GOP have shorter fatigue lives than those by vacuum filtration. Scanning electron microscopy is employed to carefully analyse the failed papers in order to clarify the fatigue failure mechanism.

AB - The effects of processing parameters on fatigue lives of graphene oxide papers (GOP) and reduced GOP (RGOP) are investigated. The fabrication method could be either vacuum filtration or pressure filtration, and the important processing parameters include graphene weight fraction in suspension, sonication time for suspension and pressure value for pressure filtration. Fatigue performance of the papers are studied by strain-controlled fatigue test. Under vacuum filtration method, fatigue lives of both GOP and RGOP decrease with increasing graphene weight fraction. The longest fatigue life is 403 284 cycles for the GOP under highest power sonication time and lowest graphene weight fraction. Fatigue lives of most GOP increase with increasing sonication time up to medium level. Under pressure filtration method, all GOP have shorter fatigue lives than those by vacuum filtration. Scanning electron microscopy is employed to carefully analyse the failed papers in order to clarify the fatigue failure mechanism.

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Fatigue analysis of graphene oxide papers fabricated under various processing parameters

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