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非色散红外一氧化碳传感器气室结构优化()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
44
期数:
2026年06期
页码:
105-112
栏目:
智能制造
出版日期:
2026-06-27

文章信息/Info

Title:
Optimization of Gas Chamber Structure for Non-dispersive Infrared Low-concentration Carbon Monoxide Sensors
文章编号:
1001-2257(2026)06-0105-08
作者:
泮森涛韩泽雨米铠轩宋栓军
西安工程大学机电工程学院,陕西 西安 710048
Author(s):
PAN SentaoHAN ZeyuMI KaixuanSONG Shuanjun
(School of Mechanical and Electronic Engineering,Xi’an Polytechnic University,Xi’an 710048,China)
关键词:
非色散红外怀特池发散角光耦合效率
Keywords:
non-dispersive infrared White celldivergence angleoptical coupling efficiency
分类号:
TH74
文献标志码:
A
摘要:
针对主流非色散红外低体积分数一氧化碳(CO)传感器体积大、响应速度慢等问题,提出一种气室结构优化方案。该方案基于怀特池气室结构,采用梯形气室内腔以及位于主镜短轴方向的副镜布局,实现高精度、快响应的低体积分数CO 气体检测。考虑红外光源发散角,以光耦合效率为目标对传感器气室结构参数进行了优化。在此基础上,通过调节主副镜间距,使探测器接收光束光程一致。经过仿真和实验验证,优化后的怀特池气室在光程不变条件下,腔体体积最多可缩小36%;当副镜面积为252 mm2 时,可实现体积分数在0.1×10-6 以上的CO 气体检测。
Abstract:
Aiming at the problems of large volume and slow response speed in mainstream non-dispersive infrared (NDIR) low-volume-fraction carbon monoxide (CO) sensors, an optimization gas chamber structure is proposed. Based on a White cell structure, this proposed design, featuring a trapezoidal gas chamber cavity and an arrangement of secondary mirrors along the short axis of the primary mirror, enables high-precision and fast-response detection of low-concentration CO gas. Considering the divergence angle of the infrared source, the structural parameters of the gas chamber are optimized with the goal of maximizing optical coupling efficiency. Furthermore, by adjusting the distance between the primary and secondary mirrors, consistent optical path lengths of the beams received by the detector are achieved. Simulation and experimental results demonstrate that the optimized White cell gas chamber maintains constant optical path while reducing the chamber volume by up to 36%. With a secondary mirror area of 252 mm2, the sensor is capable of detecting CO at volume fractions as low as 0.1×10-6.

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备注/Memo

备注/Memo:
收稿日期:2026-04-11
基金项目:陕西省重点研发计划项目(2023-YBGY-349)
作者简介:泮森涛 (1999-),男,浙江台州人,硕士研究生,研究方向为红外气体传感器;宋栓军 (1974-),男,陕西宝鸡人,博士,教授,硕士研究生导师,研究方向为智能气体传感器,通信作者,E-mail:songshuanjun@126.com。
更新日期/Last Update: 2026-08-27