Your browser doesn't support javascript.
loading
Fast Fourier transform Ångström method for fast thermal measurements of microfibers.
Chen, Yulin; Lv, You; Jiang, Xinyue; Huang, Haotian; Zhu, Yuan.
Afiliación
  • Chen Y; School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
  • Lv Y; School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
  • Jiang X; School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
  • Huang H; School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
  • Zhu Y; School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
Rev Sci Instrum ; 94(1): 014901, 2023 Jan 01.
Article en En | MEDLINE | ID: mdl-36725582
ABSTRACT
The Ångström method is a promising thermal diffusivity measurement method for microfibers. Based on the heat-loss Ångström method and micro-Ångström method, the FFT (Fast Fourier Transform) Ångström method can be used to shorten the testing time and enhance the testing robustness of thermal conductivity. The FFT Ångström uses multi-frequency superimposed input signals and then uses the FFT for frequency division analysis. Since different frequencies are input at the same time, the measuring time is greatly reduced. Moreover, because different frequencies are input in the same environment, the random and environmental perturbations of the frequencies are the same, enhancing the fitting robustness. In contrast, the single feeding strategy is relatively time-consuming, and its measurement homogeneity for different frequencies cannot be guaranteed. By comparing the measurement results from a multi-frequency input and separated single-frequency input, the FFT shows good feasibility and robustness. It may also have great potential in other types of thermal wave measurements.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Rev Sci Instrum Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Rev Sci Instrum Año: 2023 Tipo del documento: Article País de afiliación: China