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Real-time stress sensing based on mechanoluminescence materials has been widely studied for structural health monitoring of bridges, buildings, high-pressure vessels, and other infrastructure surfaces. However, this approach is difficult to detect the stress information of closed mechanical structures. Here, we propose a delayed stress memory strategy to record the stress information of closed mechanical structure by the flexible film composed with CaAl2O4:Eu2+,Sm3+ phosphor. After the force is applied, the optical information on the film can be read out by the near-infrared laser after a period of time without real-time monitoring, and the stress distribution information of bearings and gears in the engine can be obtained. Furthermore, the regulation of trap depth from 0.662 to 1.042 eV allows the captured carriers to remain in the traps for a long time without being released as long persistent luminescence, which is beneficial to the delayed stress memory. Therefore, this work promotes the application prospect of mechanoluminescence materials in stress sensing, and provides a new idea to record the stress information of closed mechanical structures.


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Delayed stress memory by CaAl2O4:Eu2+ mechanoluminescent phosphor with defect engineering regulation

Show Author's information Yiyu CAIa,bSibo LIUcLei ZHAOdChao WANGbHongyu LVbBitao LIUeJianbei QIUbXuhui XUa,b( )Xue YUa,b( )
School of Mechanical Engineering, Institute for Advanced Materials, Chengdu University, Chengdu 610106, China
College of Materials Science and Engineering, Key Laboratory of Advanced Materials of Yunnan Province, Kunming University of Science and Technology, Kunming 650093, China
Department of Orthopedics, The First People’s Hospital of Yunnan Province, Kunming 650093, China
School of Physics and Opto-Electronic Technology, Baoji University of Arts and Sciences, Baoji 721016, China
Research Institute for New Materials Technology, Chongqing University of Arts and Sciences, Chongqing 402160, China

† Yiyu Cai and Sibo Liu contributed equally to this work.

Abstract

Real-time stress sensing based on mechanoluminescence materials has been widely studied for structural health monitoring of bridges, buildings, high-pressure vessels, and other infrastructure surfaces. However, this approach is difficult to detect the stress information of closed mechanical structures. Here, we propose a delayed stress memory strategy to record the stress information of closed mechanical structure by the flexible film composed with CaAl2O4:Eu2+,Sm3+ phosphor. After the force is applied, the optical information on the film can be read out by the near-infrared laser after a period of time without real-time monitoring, and the stress distribution information of bearings and gears in the engine can be obtained. Furthermore, the regulation of trap depth from 0.662 to 1.042 eV allows the captured carriers to remain in the traps for a long time without being released as long persistent luminescence, which is beneficial to the delayed stress memory. Therefore, this work promotes the application prospect of mechanoluminescence materials in stress sensing, and provides a new idea to record the stress information of closed mechanical structures.

Keywords:

delayed stress memory, mechanoluminescent film, stress information, defect engineering, closed mechanical structure
Received: 03 February 2022 Revised: 04 May 2022 Accepted: 17 May 2022 Published: 11 July 2022 Issue date: August 2022
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Publication history

Received: 03 February 2022
Revised: 04 May 2022
Accepted: 17 May 2022
Published: 11 July 2022
Issue date: August 2022

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© The Author(s) 2022.

Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (No. 61965012), Project of Yunnan Provincial Natural Science Foundation (Nos. 202001AS070008, 202101AT070126), Yunnan Ten Thousand Talents Plan Young & Elite Talents Project (No. YNWR- QNBJ-2018-295), the Excellent Youth Project of Yunnan Province Applied Basic Research Project (No. 2019FI001), Rare and Precious Metal Materials Genome Engineering Project of Yunnan Province (No. 202002AB080001), and Sichuan Natural Science Foundation (No. 2022JDJQ0030).

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