Abstract
"The current paper explores a novel approach for determining temperature variations by integrating the modal parameters and AI techniques. The research focuses on the development of a comprehensive dataset for training an AI model encompassing an analytical method that considers thermal conditions and natural frequencies. Traditional methods of temperature measurement, like infrared and platinum resistance thermometers, often face limitations in terms of accuracy, especially in complex or dynamic environments having an uncertainty of ±3.6 °C [1], respectively ±0.2 °C [2]. In this study, we propose a methodology that harnesses the inherent relationship between axial loads caused by temperature variations and the change in natural frequencies of a double clamped steel beam. The measured natural frequency data is collected and fed into the AI model, specifically, for a robust temperature estimation, obtaining a maximum predicted temperature deviation of 0.386 °C. Keywords: temperature, natural frequency, artificial intelligence, finite element method, thermal condition"
Subject
Cell Biology,Developmental Biology,Embryology,Anatomy
Reference15 articles.
1. "1 Shuanglong C., Bojun S., Xiaogang S., A method for improving temperature measurement accuracy on an infrared thermometer for the ambient temperature field, Review of Scientific Instruments, 91, 054903, 2020.
2. 2 BS1041-2.1:1985 Temperature Measurement- Part 2: Expansion thermometers. Section 2.1 Guide to selection and use of liquid-in-glass thermometers.
3. 3 Cornwell P., Farrar C.R., Doebling S.W., Sohn H., Environmental variability of modal properties, Experimental Techniques, 23(6), 1999, pp. 45-48.
4. 4 Tufoi M., Gillich G.R., Praisach Z.I., Iancu V., Furdui H., About the influence of temperature changes on the natural frequencies of clamped-clamped euler-bernoulli beams, Romanian Journal of Acoustics and Vibration, 11, 2014, pp. 84-87.
5. 5 Azadi M., Free and forced vibration analysis of FG beam considering temperature dependency of material properties, Journal of Mechanical Science and Technology, 25(1), 2011, pp. 69-80.