Smart Clothing with Built-In Soft Sensing Network for Measuring Temporal and Spatial Distribution of Pressure under Impact Scenarios

被引：2

作者：

Wang, Fei ^{[1
,2
]}

Zhu, Bo ^{[2
,3
]}

Shu, Lin ^{[2
,4
,5
]}

Li, Ying ^{[2
,6
]}

Lai, Xinghua ^{[7
]}

Ma, Lingchen ^{[7
]}

Ji, Peijun ^{[7
]}

Zhou, Qing ^{[7
]}

Yu, Tongxi ^{[8
]}

Tao, Xiaoming ^{[2
,6
]}

机构：

[1] Wuyi Univ, Sch Text Mat & Engn, Jiangmen 529020, Peoples R China

[2] Hong Kong Polytech Univ, Sch Fash & Text, Hong Kong 999077, Peoples R China

[3] Hong Kong Polytech Univ, Coll Profess & Continuing Educ, Hong Kong 999077, Peoples R China

[4] South China Univ Technol, Sch Future Technol, Guangzhou 511422, Peoples R China

[5] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Peoples R China

[6] Hong Kong Polytech Univ, Res Inst Intelligent Wearable Syst, Hong Kong 999077, Peoples R China

[7] Tsinghua Univ, Dept Automot Engn, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China

[8] Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Hong Kong 999077, Peoples R China

来源：

ADVANCED SENSOR RESEARCH | 2023年 / 2卷 / 02期

关键词：

crash dummies; impact tests; in situ measurement; pressure sensors; smart clothing; strain rate; TRAFFIC ACCIDENTS; SENSORS; INJURY; MODEL; HEAD; SKIN;

D O I：

10.1002/adsr.202200019

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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. For the first time, this research uses a smart clothing to acquire the in situ and quantitative values of pressure distribution between the seat belts, seat cushion, and the dummy in a standard sled crash test. The smart clothing with soft pressure sensing network can be used in real-time pressure mapping of a 3D flexible man-machine interface under impact scenarios. image

引用

页数：12