Scholarlink

<p>This paper presents a high-sensitivity U-shaped square cavity photonic crystal fiber temperature sensor based on SPR effect. The structural parameters of the sensor are adjusted based on systematic optimization and numerical simulation by full-vector finite element method (FEM). The results show excellent sensing performance of the sensor in the temperature detection range of 0-100&#xa0;°C, including a maximum wavelength sensitivity of -21.6&#xa0;nm/°C, a figure of merit (FOM) of -0.30&#xa0;°C<sup>− 1</sup>, and a temperature resolution of up to 4.63 × 10<sup>− 3</sup> °C. The design of the U-shaped square cavity structure proposed in this paper outperforms its existing competitors by realizing a wider detection range and higher comprehensive performance index, in addition to a simplified preparation process. The sensor exhibits good application prospects in industrial manufacturing, medical diagnosis, environmental monitoring, and power equipment temperature monitoring.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

U-Shaped PCF-SPR Temperature Sensor with High Sensitivity

  • 期刊论文

  • 发表日期：

    2025年11月27日

查看全文
  • Qiunan Zhang,
  • Zhangwei Tong,
  • Xiangyu Liao,
  • Yongmei Wang,
  • Yangtao Liu,
  • Weijia Shao,
  • Junhui Hu

摘要

This paper presents a high-sensitivity U-shaped square cavity photonic crystal fiber temperature sensor based on SPR effect. The structural parameters of the sensor are adjusted based on systematic optimization and numerical simulation by full-vector finite element method (FEM). The results show excellent sensing performance of the sensor in the temperature detection range of 0-100 °C, including a maximum wavelength sensitivity of -21.6 nm/°C, a figure of merit (FOM) of -0.30 °C− 1, and a temperature resolution of up to 4.63 × 10− 3 °C. The design of the U-shaped square cavity structure proposed in this paper outperforms its existing competitors by realizing a wider detection range and higher comprehensive performance index, in addition to a simplified preparation process. The sensor exhibits good application prospects in industrial manufacturing, medical diagnosis, environmental monitoring, and power equipment temperature monitoring.