A review: preparation of functionalised materials/smart fabrics that exhibit thermochromic behaviour

Author(s):  
L. Civan ◽  
S. Kurama
Keyword(s):  
2017 ◽  
Vol 47 (8) ◽  
pp. 1925-1943 ◽  
Author(s):  
Giorgio De Pasquale ◽  
Andrea Mura

The development of e-textiles and conductive fabrics is strongly supported by the rapid growth of wearable electronics. Unfortunately, the fast development of production technologies for smart textiles has not been followed by standard design methods and validation procedures to certificate the electro-mechanical reliability of e-textiles. Then, the design of test procedures able to control the sources of failure in combination with cross-talk effects (e.g. between load and wear, cyclic loads and current flow, etc.) is crucial. Standard tests already used for traditional fabrics are not satisfactory in predicting the lifetime of e-textiles. This paper introduces the design of innovative machine to assess the performances and reliability of smart fabrics under fully controllable conditions.


Author(s):  
Luz Sanchez-Silva ◽  
Paula Sanchez ◽  
Juan F.
Keyword(s):  

Author(s):  
Yinka-Banjo Chika ◽  
Salau Abiola Adekunle

Smart fabrics, generally regarded as smart Textiles are fabrics that have embedded electronics and interconnections woven into them, resulting in physical flexibility that is not achievable with other known electronic manufacturing techniques. Interconnections and components are intrinsic to the fabric therefore are not visible and less susceptible of getting tangled by surrounding objects. Smart fabrics can also more easily adapt to quick changes in the sensing and computational requirements of any specific application, this feature being useful for power management and context awareness. For electronic systems to be part of our day-to-day outfits such electronic devices need to conform to requirements as regards wear-ability, this is the vision of wearable technology. Wearable systems are characterized by their capability to automatically identify the activity and the behavioral status of their wearer as well as of the situation around them, and to use this information to adjust the systems' configuration and functionality. This write-up focused on recent developments in the field of Smart Fabrics and pays particular attention to the materials and their manufacturing techniques.


Materials ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 1677 ◽  
Author(s):  
Guantao Wang ◽  
Yong Wang ◽  
Yun Luo ◽  
Sida Luo

Carbon nanomaterials have gradually demonstrated their superiority for in-line process monitoring of high-performance composites. To explore the advantages of structures, properties, as well as sensing mechanisms, three types of carbon nanomaterials-based fiber sensors, namely, carbon nanotube-coated fibers, reduced graphene oxide-coated fibers, and carbon fibers, were produced and used as key sensing elements embedded in fabrics for monitoring the manufacturing process of fiber-reinforced polymeric composites. Detailed microstructural characterizations were performed through SEM and Raman analyses. The resistance change of the smart fabric was monitored in the real-time process of composite manufacturing. By systematically analyzing the piezoresistive performance, a three-stage sensing behavior has been achieved for registering resin infiltration, gelation, cross-linking, and post-curing. In the first stage, the incorporation of resin expands the packing structure of various sensing media and introduces different levels of increases in the resistance. In the second stage, the concomitant resin shrinkage dominates the resistance attenuation after reaching the maximum level. In the last stage, the diminished shrinkage effect competes with the disruption of the conducting network, resulting in continuous rising or depressing of the resistance.


2019 ◽  
Vol 11 (14) ◽  
pp. 13370-13379 ◽  
Author(s):  
Daniel K. Macharia ◽  
Sharjeel Ahmed ◽  
Bo Zhu ◽  
Zixiao Liu ◽  
Zhaojie Wang ◽  
...  

2013 ◽  
Vol 56 ◽  
pp. e25-e26
Author(s):  
R. Taiar ◽  
F.C. Boyer ◽  
N. Roche ◽  
D. Pradon
Keyword(s):  

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Hung-I Lin ◽  
Chun-Che Wang ◽  
Kun-Ching Shen ◽  
Mikhail Y. Shalaginov ◽  
Pradip Kumar Roy ◽  
...  

Soft Matter ◽  
2012 ◽  
Vol 8 (40) ◽  
pp. 10238 ◽  
Author(s):  
Chang Hwan Lee ◽  
Sung Kyung Kang ◽  
Jung Ah Lim ◽  
Ho Sun Lim ◽  
Jeong Ho Cho
Keyword(s):  

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