Smart Clothing with Built‐In Soft Sensing Network for Measuring Temporal and Spatial Distribution of Pressure under Impact Scenarios
Abstract Nowadays, the need for protective devices at man–machine interfaces is increasing in the fields of traffic, sports, construction, and military, etc. Dynamic pressure sensing technology with wide measuring range, high sensitivity, softness, and fast response is crucial for evaluation and opt...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley-VCH
2023-02-01
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| Series: | Advanced Sensor Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/adsr.202200019 |
| _version_ | 1797775057246748672 |
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| author | Fei Wang Bo Zhu Lin Shu Ying Li Xinghua Lai Lingchen Ma Peijun Ji Qing Zhou Tongxi Yu Xiaoming Tao |
| author_facet | Fei Wang Bo Zhu Lin Shu Ying Li Xinghua Lai Lingchen Ma Peijun Ji Qing Zhou Tongxi Yu Xiaoming Tao |
| author_sort | Fei Wang |
| collection | DOAJ |
| description | Abstract Nowadays, the need for protective devices at man–machine interfaces is increasing in the fields of traffic, sports, construction, and military, etc. Dynamic pressure sensing technology with wide measuring range, high sensitivity, softness, and fast response is crucial for evaluation and optimization of the personal protective equipment under impact scenarios. However, current sensors hardly possess all the aforesaid required characteristics. For the first time, this article reports the evaluation and application of an innovative soft pressure sensor with modulus of 2 MPa, maximum pressure of 8 MPa, and over 500‐Hz frequency. A theoretical model, taking strain rate into consideration, is established to characterize the dynamic sensing behavior. A sensing network in the form of smart clothing is developed and used in a sled crash test, which is a standard approach to evaluate the safety of automobiles in collisions. The pressure distribution over the dummy's surface during the crash is acquired in real‐time, and compared with numerical simulations. This study is important to the study of occupant injury and crashworthiness design for vehicles, and it will benefit the automotive industry. With the built‐in sensing network, the smart clothing has promising applications in the pressure mapping of 3D flexible man–machine interface under impact scenarios. |
| first_indexed | 2024-03-12T22:29:51Z |
| format | Article |
| id | doaj.art-b361318586e045eab13c008a428a775e |
| institution | Directory Open Access Journal |
| issn | 2751-1219 |
| language | English |
| last_indexed | 2024-03-12T22:29:51Z |
| publishDate | 2023-02-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | Advanced Sensor Research |
| spelling | doaj.art-b361318586e045eab13c008a428a775e2023-07-21T15:30:39ZengWiley-VCHAdvanced Sensor Research2751-12192023-02-0122n/an/a10.1002/adsr.202200019Smart Clothing with Built‐In Soft Sensing Network for Measuring Temporal and Spatial Distribution of Pressure under Impact ScenariosFei Wang0Bo Zhu1Lin Shu2Ying Li3Xinghua Lai4Lingchen Ma5Peijun Ji6Qing Zhou7Tongxi Yu8Xiaoming Tao9School of Textile Materials and Engineering Wuyi University Jiangmen 529020 ChinaSchool of Fashion and Textiles The Hong Kong Polytechnic University Hong Kong 999077 ChinaSchool of Fashion and Textiles The Hong Kong Polytechnic University Hong Kong 999077 ChinaSchool of Fashion and Textiles The Hong Kong Polytechnic University Hong Kong 999077 ChinaState Key Laboratory of Automotive Safety and Energy Department of Automotive Engineering Tsinghua University Beijing 100084 ChinaState Key Laboratory of Automotive Safety and Energy Department of Automotive Engineering Tsinghua University Beijing 100084 ChinaState Key Laboratory of Automotive Safety and Energy Department of Automotive Engineering Tsinghua University Beijing 100084 ChinaState Key Laboratory of Automotive Safety and Energy Department of Automotive Engineering Tsinghua University Beijing 100084 ChinaDepartment of Mechanical and Aerospace Engineering The Hong Kong University of Science and Technology Hong Kong 999077 ChinaSchool of Fashion and Textiles The Hong Kong Polytechnic University Hong Kong 999077 ChinaAbstract Nowadays, the need for protective devices at man–machine interfaces is increasing in the fields of traffic, sports, construction, and military, etc. Dynamic pressure sensing technology with wide measuring range, high sensitivity, softness, and fast response is crucial for evaluation and optimization of the personal protective equipment under impact scenarios. However, current sensors hardly possess all the aforesaid required characteristics. For the first time, this article reports the evaluation and application of an innovative soft pressure sensor with modulus of 2 MPa, maximum pressure of 8 MPa, and over 500‐Hz frequency. A theoretical model, taking strain rate into consideration, is established to characterize the dynamic sensing behavior. A sensing network in the form of smart clothing is developed and used in a sled crash test, which is a standard approach to evaluate the safety of automobiles in collisions. The pressure distribution over the dummy's surface during the crash is acquired in real‐time, and compared with numerical simulations. This study is important to the study of occupant injury and crashworthiness design for vehicles, and it will benefit the automotive industry. With the built‐in sensing network, the smart clothing has promising applications in the pressure mapping of 3D flexible man–machine interface under impact scenarios.https://doi.org/10.1002/adsr.202200019crash dummiesimpact testsin situ measurementpressure sensorssmart clothingstrain rate |
| spellingShingle | Fei Wang Bo Zhu Lin Shu Ying Li Xinghua Lai Lingchen Ma Peijun Ji Qing Zhou Tongxi Yu Xiaoming Tao Smart Clothing with Built‐In Soft Sensing Network for Measuring Temporal and Spatial Distribution of Pressure under Impact Scenarios Advanced Sensor Research crash dummies impact tests in situ measurement pressure sensors smart clothing strain rate |
| title | Smart Clothing with Built‐In Soft Sensing Network for Measuring Temporal and Spatial Distribution of Pressure under Impact Scenarios |
| title_full | Smart Clothing with Built‐In Soft Sensing Network for Measuring Temporal and Spatial Distribution of Pressure under Impact Scenarios |
| title_fullStr | Smart Clothing with Built‐In Soft Sensing Network for Measuring Temporal and Spatial Distribution of Pressure under Impact Scenarios |
| title_full_unstemmed | Smart Clothing with Built‐In Soft Sensing Network for Measuring Temporal and Spatial Distribution of Pressure under Impact Scenarios |
| title_short | Smart Clothing with Built‐In Soft Sensing Network for Measuring Temporal and Spatial Distribution of Pressure under Impact Scenarios |
| title_sort | smart clothing with built in soft sensing network for measuring temporal and spatial distribution of pressure under impact scenarios |
| topic | crash dummies impact tests in situ measurement pressure sensors smart clothing strain rate |
| url | https://doi.org/10.1002/adsr.202200019 |
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