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利用超声换能器网络构建三维温度分布。

Construction of three-dimensional temperature distribution using a network of ultrasonic transducers.

作者信息

Shen Xuehua, Chen Huanting, Shih Tien-Mo, Xiong Qingyu, Zhang Hualin

机构信息

Schoolof Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, China.

Department of Mechanical Engineering, University of California, Berkeley, CA, 94720, USA.

出版信息

Sci Rep. 2019 Sep 4;9(1):12726. doi: 10.1038/s41598-019-49088-y.

DOI:10.1038/s41598-019-49088-y
PMID:31484952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6726648/
Abstract

Although the ultrasonic technique for measuring temperature distributions has drawn much attention in recent years, most studies that adopt this technique focus on two-dimensional (2D) systems. Mathematically, extending from 2D to 3D requires higher construction-performing algorithms, as well as more complicated, but extremely crucial, designs of ultrasonic transducer layouts. Otherwise the ill condition of governing-equation matrices will become more serious. Here, we aim at constructing 3D temperature distributions by using a network of properly-installed ultrasonic transducers that can be controlled to transmit and receive ultrasound. In addition, the proposed method is capable of performing this construction procedure in real time, thus monitoring transient temperature distributions and guarantee the safety of operations related to heating or burning. Numerical simulations include constructions for four kinds of temperature distributions, as well as corresponding qualitative and quantitative analyses. Finally, our study offers a guide in developing non-intrusive experimental methods that measure 3D temperature distributions in real time.

摘要

尽管近年来用于测量温度分布的超声技术备受关注,但大多数采用该技术的研究都集中在二维(2D)系统上。从数学角度来看,从二维扩展到三维需要更高性能的构建算法,以及更复杂但极其关键的超声换能器布局设计。否则,控制方程矩阵的病态情况将变得更加严重。在此,我们旨在通过使用一个可以控制来发射和接收超声波的适当安装的超声换能器网络来构建三维温度分布。此外,所提出的方法能够实时执行此构建过程,从而监测瞬态温度分布并确保与加热或燃烧相关操作的安全性。数值模拟包括四种温度分布的构建以及相应的定性和定量分析。最后,我们的研究为开发实时测量三维温度分布的非侵入性实验方法提供了指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/a01fb6fd2c59/41598_2019_49088_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/a22e5af450d1/41598_2019_49088_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/454127464323/41598_2019_49088_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/3d3076636333/41598_2019_49088_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/a5108b7bd6ca/41598_2019_49088_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/03f23e9611f8/41598_2019_49088_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/388282bb5655/41598_2019_49088_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/a01fb6fd2c59/41598_2019_49088_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/a22e5af450d1/41598_2019_49088_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/454127464323/41598_2019_49088_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/3d3076636333/41598_2019_49088_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/a5108b7bd6ca/41598_2019_49088_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/03f23e9611f8/41598_2019_49088_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/388282bb5655/41598_2019_49088_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f73/6726648/a01fb6fd2c59/41598_2019_49088_Fig7_HTML.jpg

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