An RFID smart structure using inkjet-printed additive manufacturing technology for metal crack characterization

Abstract Developing an indicator for metal materials to characterize cracks is urgent. However, traditional sensor-based technology has drawbacks such as high costs for installation and maintenance when using wired connections. In this paper, we studied the Radio Frequency Identification sensors created through three-dimensional printing technology to characterize surface cracks in metals. This approach simplifies the manufacturing process, silver nanoparticles are printed layer by layer on substrate to form the sensor pattern. The functionality of the sensor is verified through simulations and experiments involving samples with various crack sizes. Our findings demonstrate that when cracks pass over the sensor, there is a distinct response in terms of a shift in resonant frequency, moreover, the sensor offers a reading range greater than 0.7 m at resonance frequency without requiring power supply or wired connection for data transmission purposes. This research showcases the design of a smart structure that is compact, easy-to-fabricate, and potential for applications related to structural health monitoring and crack sensing.

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Publication Details

Journal
Smart Materials and Structures
Published
2024-10-16
DOI
https://doi.org/10.1088/1361-665x/ad8798
Citations
1
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.35

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article

An RFID smart structure using inkjet-printed additive manufacturing technology for metal crack characterization

Haidou Wang, Jun Zhang, Yaya Song, Weiling Guo et al.
1 citations
Smart Materials and Structures
Industrial Vision Systems and Defect Detection
0.35
article

An RFID smart structure using inkjet-printed additive manufacturing technology for metal crack characterization

Haidou Wang, Jun Zhang, Yaya Song, Weiling Guo, Yuelan Di, Lihong Dong, Xiangyu Xie
article en
1 citations

Abstract

Abstract Developing an indicator for metal materials to characterize cracks is urgent. However, traditional sensor-based technology has drawbacks such as high costs for installation and maintenance when using wired connections. In this paper, we studied the Radio Frequency Identification sensors created through three-dimensional printing technology to characterize surface cracks in metals. This approach simplifies the manufacturing process, silver nanoparticles are printed layer by layer on substrate to form the sensor pattern. The functionality of the sensor is verified through simulations and experiments involving samples with various crack sizes. Our findings demonstrate that when cracks pass over the sensor, there is a distinct response in terms of a shift in resonant frequency, moreover, the sensor offers a reading range greater than 0.7 m at resonance frequency without requiring power supply or wired connection for data transmission purposes. This research showcases the design of a smart structure that is compact, easy-to-fabricate, and potential for applications related to structural health monitoring and crack sensing.

Smart Materials and StructuresVol. 33(11)
Guangdong University of Technology (CN), Guizhou University (CN), Guiyang University (CN), FORCE Technology (Norway) (NO), Heilongjiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 35%
Industrial Vision Systems and Defect Detection
0.35
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An RFID smart structure using inkjet-printed additive manufacturing technology for metal crack characterization — Haidou Wang, Jun Zhang, et al. · Smart Materials and Structures (2024) | TGRS Research Map | TGRS