Digital holographic interferometry for the measurement of temperature distribution around textile conductive yarn embedded in heating garments

材料科学 导电体 温度测量 纱线 复合材料 织物 全息干涉法 热传导 干涉测量 光学 物理 量子力学
作者
Pramod Sankara Pillai,Shilpi Agarwal,Bipin Kumar,R. Alagirusamy,Apurba K. Das,Chandra Shakher
出处
期刊:Optical Engineering [SPIE - International Society for Optical Engineering]
卷期号:60 (12) 被引量:3
标识
DOI:10.1117/1.oe.60.12.124104
摘要

Due to the development of wearable smart/electronic integrated textiles, the heating compression bandages, conductive fabrics, and electrically heated garments have been extensively used in many fields. Heating garments could be widely applied in the field of body warming and physical therapy. To impart heating therapy through garments, we need to select conductive yarn to be incorporated into the fabric. In addition to this, voltage supply, resistance, temperature distribution, temperature gradient, heating area, and spacing between the two consecutive conductive yarns are some major factors that have to be optimized for heating garments. Therefore, identifying the proper conductive yarn and approximate spacing between them is important in the electrically heated garments. The measurement of temperature and temperature profile around heated textile conductive yarn is demonstrated using digital holographic interferometry (DHI). DHI has been widely used to measure temperature and temperature profile of gaseous flames and heat conduction studies, etc., as it is more accurate, precise, and provides better spatial resolution. DHI is chosen to measure temperature distribution around copper and stainless-steel yarns used in textiles. DHI is a noncontact, noninvasive, full-field, and almost real-time interferometric technique. We have chosen copper and stainless-steel yarn to study the temperature profile and uniform heating to approximate spacing between two yarns.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
SY发布了新的文献求助10
刚刚
刚刚
Leo发布了新的文献求助10
刚刚
刚刚
孙东雪发布了新的文献求助10
刚刚
科研通AI6.2应助科研小白采纳,获得10
刚刚
小林发布了新的文献求助10
刚刚
憨皮蓝孩发布了新的文献求助10
1秒前
zzz发布了新的文献求助10
1秒前
Himh发布了新的文献求助20
1秒前
大个应助汉堡大王采纳,获得10
2秒前
充电宝应助mk_smile采纳,获得30
2秒前
眼角流星完成签到,获得积分10
2秒前
CodeCraft应助苏苏没有可乐采纳,获得10
2秒前
小可爱完成签到,获得积分10
2秒前
eeven完成签到 ,获得积分10
2秒前
YoYo发布了新的文献求助10
3秒前
度ewf发布了新的文献求助10
3秒前
limuzi应助captin采纳,获得30
3秒前
笑点低的酒窝完成签到,获得积分10
3秒前
xxjsk发布了新的文献求助10
3秒前
FashionBoy应助勤恳的饭饭采纳,获得10
4秒前
4秒前
领导范儿应助俏俏6325采纳,获得10
4秒前
6秒前
6秒前
七七发布了新的文献求助10
6秒前
6秒前
现代的荆发布了新的文献求助10
7秒前
勤恳的隶完成签到,获得积分10
7秒前
yelide完成签到,获得积分10
7秒前
7秒前
lo发布了新的文献求助10
7秒前
科研通AI6.1应助张宇宁采纳,获得10
7秒前
Lee完成签到,获得积分10
7秒前
所所应助蛋花花花采纳,获得10
7秒前
猴猴完成签到,获得积分10
8秒前
8秒前
8秒前
科研通AI6.1应助离线线线采纳,获得10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Clinical Electromyography 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5946151
求助须知:如何正确求助?哪些是违规求助? 7102829
关于积分的说明 15902602
捐赠科研通 5078350
什么是DOI,文献DOI怎么找? 2730809
邀请新用户注册赠送积分活动 1690834
关于科研通互助平台的介绍 1614738