Conference proceeding
Development of smart textiles with embedded fiber optic chemical sensors
Proceedings of SPIE, v 5270(1), pp 38-49
04 Mar 2004
Abstract
Smart textiles are defined as textiles capable of monitoring their own health conditions or structural behavior, as well as sensing external environmental conditions. Smart textiles appear to be a future focus of the textile industry. As technology accelerates, textiles are found to be more useful and practical for potential advanced technologies. The majority of textiles are used in the clothing industry, which set up the idea of inventing smart clothes for various applications. Examples of such applications are medical trauma assessment and medical patients monitoring (heart and respiration rates), and environmental monitoring for public safety officials. Fiber optics have played a major role in the development of smart textiles as they have in smart structures in general. Optical fiber integration into textile structures (knitted, woven, and non-woven) is presented, and defines the proper methodology for the manufacturing of smart textiles. Samples of fabrics with integrated optical fibers were processed and tested for optical signal transmission. This was done in order to investigate the effect of textile production procedures on optical fiber performance. The tests proved the effectiveness of the developed methodology for integration of optical fibers without changing their optical performance or structural integrity.
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Details
- Title
- Development of smart textiles with embedded fiber optic chemical sensors
- Creators
- Saif E Khalil - Drexel UniversityJianming Yuan - Photonics Laboratories, Inc. (United States)Mahmoud A El-Sherif - Drexel UniversityJian-Min Yuan - Physics
- Publication Details
- Proceedings of SPIE, v 5270(1), pp 38-49
- Conference
- Environmental Monitoring and Remediation III, 3rd
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Physics
- Web of Science ID
- WOS:000189458400005
- Scopus ID
- 2-s2.0-2142815362
- Other Identifier
- 991019168715704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Chemistry, Analytical
- Engineering, Environmental
- Instruments & Instrumentation