scholarly journals Fabrication and Characterization of Wrapped Metal Yarns-based Fabric Temperature Sensors

Polymers ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1549
Author(s):  
Qian Yang ◽  
Xi Wang ◽  
Xin Ding ◽  
Qiao Li

Textile temperature sensors are highly in demanded keep a real-time and accurate track of human body temperature for identification of healthy conditions or clinical diagnosis. Among various materials for textile temperature sensors, temperature-sensitive metal fibers have highest precision. However, those metal fibers are mechanically too weak, and break constantly during the weaving process. To enhance the mechanical strength of the metal fibers, this paper proposes to make wrapped metal fibers using wrapping technology, and characterize the effect of wrapped metal yarns on both mechanical properties and sensing behaviors. The wrapped yarns were woven into fabrics, forming the fabric temperature sensors. Results show that strength and maximum strain of the wrapped yarns are 2.69 and 1.82 times of pure Pt fibers. The response time of fabric temperature sensors using wrapped yarns was observed as 0.78 s and 1.1 s longer compared to that using Pt fibers when front and back sides contacted heat source, respectively. It is recommended that the wrapping method should be implemented for the protection of Pt fibers in fabric temperature sensors.

2011 ◽  
Vol 68 (18) ◽  
pp. 3019-3031 ◽  
Author(s):  
Matthew D. White ◽  
Catharine M. Bosio ◽  
Barry N. Duplantis ◽  
Francis E. Nano

2015 ◽  
Vol 1105 ◽  
pp. 51-55 ◽  
Author(s):  
K.M. Gupta ◽  
Kishor Kalauni

Bhimal fibres are quite a newer kind of bio-degradable fibres. They have never been heard before in literatures from the view point of their utility as engineering material. These fibres have been utilized for investigation of their properties. Characterization of this fibre is essential to determine its properties for further use as reinforcing fibre in polymeric, bio-degradable and other kinds of matrix. With this objective, the fabrication method and other mechanical properties of Bhimal-reinforced-PVA biocomposite have been discussed. The stress-strain curves and load-deflection characteristics are obtained. The tensile, compressive, flexure and impact strengths have been calculated. The results are shown in tables and graphs. The results obtained are compared with other existing natural fibre biocomposites. From the observations, it has been concluded that the tensile strength of Bhimal-reinforced-PVA biocomposite is higher than other natural fibre composites. Hence these can be used as reinforcement to produce much lighter weight biocomposites.


RSC Advances ◽  
2021 ◽  
Vol 11 (41) ◽  
pp. 25731-25737
Author(s):  
Maria Cristina Righetti ◽  
Maria Laura Di Lorenzo ◽  
Patrizia Cinelli ◽  
Massimo Gazzano

At room temperature and at the human body temperature, all the amorphous fraction is mobile in poly(butylene succinate).


Vacuum ◽  
2016 ◽  
Vol 128 ◽  
pp. 230-233 ◽  
Author(s):  
Wei Li ◽  
Jia Meng ◽  
Ping Liu ◽  
Haoming Du ◽  
Ke Zhang ◽  
...  

2018 ◽  
Vol 164 ◽  
pp. 01017 ◽  
Author(s):  
Jalinas ◽  
Wahyu Kusuma Raharja ◽  
Bobby Putra Emas Wijaya

The heart is one of the most important organs in the human body. One way to know heart health is to measure the number of heart beats per minute and body temperature also shows health, many heart rate and body temperature devices but can only be accessed offline. This research aims to design a heart rate detector and human body temperature that the measurement results can be accessed via web pages anywhere and anytime. This device can be used by many users by entering different ID numbers. The design consists of input blocks: pulse sensor, DS18B20 sensor and 3x4 keypad button. Process blocks: Arduino Mega 2560 Microcontroller, Ethernet Shield, router and USB modem. And output block: 16x2 LCD and mobile phone or PC to access web page. Based on the test results, this tool successfully measures the heart rate with an average error percentage of 2.702 % when compared with the oxymeter tool. On the measurement of body temperature get the result of the average error percentage of 2.18 %.


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