Detectable Adhesives: Nondestructive Detection of Adhesion

Abstract Metal‐to‐metal adhesives are vital across diverse sectors including automotive, aerospace, and industrial assembly. However, traditional adhesion detection methods are mainly based on the fracture mechanism, posing challenges for nondestructive detection. Here, a nondestructive method that leverages electrical signals to monitor the adhesion state of metal interfaces in real‐time is presented. The approach utilizes detectable adhesives (DA) synthesized from poly(ionic liquid) (PIL), which not only exhibit robust adhesion properties (4.9 MPa) but also function as ionic conductors. By correlating changes in capacitance and resistance with the adhesive state, the method allows for in situ monitoring of the curing process, prediction of adhesion strength, and early detection of potential failures. This dual‐sensing capability, combining electrical and mechanical aspects, enhances understanding of adhesive behavior in diverse conditions, presenting a fresh approach for digitally transforming adhesive technologies.

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Publication Details

Journal
Advanced Functional Materials
Published
2024-09-01
DOI
https://doi.org/10.1002/adfm.202413799
Citations
16
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.95

Funders

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article

Detectable Adhesives: Nondestructive Detection of Adhesion

Yue Wang, Feng Yan, Qingning Li, Weizheng Li et al.
16 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
2.95
article

Detectable Adhesives: Nondestructive Detection of Adhesion

Yue Wang, Feng Yan, Qingning Li, Weizheng Li, Ming Wu, Sijie Zheng, Qiang Cao, Xiaoliang Wang, Ziyang Liu, Shuangbo Yin
article en
16 citations

Abstract

Abstract Metal‐to‐metal adhesives are vital across diverse sectors including automotive, aerospace, and industrial assembly. However, traditional adhesion detection methods are mainly based on the fracture mechanism, posing challenges for nondestructive detection. Here, a nondestructive method that leverages electrical signals to monitor the adhesion state of metal interfaces in real‐time is presented. The approach utilizes detectable adhesives (DA) synthesized from poly(ionic liquid) (PIL), which not only exhibit robust adhesion properties (4.9 MPa) but also function as ionic conductors. By correlating changes in capacitance and resistance with the adhesive state, the method allows for in situ monitoring of the curing process, prediction of adhesion strength, and early detection of potential failures. This dual‐sensing capability, combining electrical and mechanical aspects, enhances understanding of adhesive behavior in diverse conditions, presenting a fresh approach for digitally transforming adhesive technologies.

Advanced Functional MaterialsVol. 35(3)
Northwestern University (US), Donghua University (CN), Soochow University (CN), Nanjing University (CN)
National Natural Science Foundation of China, Priority Academic Program Development of Jiangsu Higher Education Institutions, Collaborative Innovation Center of Suzhou Nano Science and Technology, Collaborative Innovation Center for Water Treatment Technology and Materials
Openalex Percentile: Top 9%
Advanced Sensor and Energy Harvesting Materials
2.95
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