TY - GEN
T1 - Experimental Methodology and Validation for Simulating Strong Transient Thermal Environment and Implementing Temperature Tracking Control in Fatigue Testing
AU - Li, Bolin
AU - Li, Zhenlei
AU - Li, Guo
AU - Bao, Shaochen
AU - Ding, Shuting
AU - Xia, Shuyang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - The operating conditions of aero-engines’ components are becoming increasingly severe. The occurrence of strong transient thermal environments during mode transitions in variable cycle engines results in reduction of material properties, with the complex failure modes that encompass thermal fatigue and thermal mechanical fatigue. This paper aims to develop a precise rapid temperature tracking control methodology, while designing a specimen form and temperature change methods through simulation analysis. The multi-physical simulation of magnetic-thermal-solid coupling for temperature field was calculated using the finite element method. A hollow thin-walled tube specimen was designed, utilizing electromagnetic induction heating and forced convection cooling to achieve temperature changes. Using the programmable controller, a double-loop multi-stage proportional integral derivative (PID) control methodology was constructed. The parameter adjustment simulation was validated by software. Finally, the experimental results demonstrated that within the operating temperature range, the specimen’s concerned section achieved a temperature change rate of 100 °C/s, effectively controlling a triangular wave with consistent heating and cooling rates. The error was less than 8.31%, and the waveform was smooth, with preferable temperature uniformity. It validates the effectiveness of the novel experimental methodology, which may provide a new way to simulate and control the strong transient thermal environments in support of reliability tests and safety research.
AB - The operating conditions of aero-engines’ components are becoming increasingly severe. The occurrence of strong transient thermal environments during mode transitions in variable cycle engines results in reduction of material properties, with the complex failure modes that encompass thermal fatigue and thermal mechanical fatigue. This paper aims to develop a precise rapid temperature tracking control methodology, while designing a specimen form and temperature change methods through simulation analysis. The multi-physical simulation of magnetic-thermal-solid coupling for temperature field was calculated using the finite element method. A hollow thin-walled tube specimen was designed, utilizing electromagnetic induction heating and forced convection cooling to achieve temperature changes. Using the programmable controller, a double-loop multi-stage proportional integral derivative (PID) control methodology was constructed. The parameter adjustment simulation was validated by software. Finally, the experimental results demonstrated that within the operating temperature range, the specimen’s concerned section achieved a temperature change rate of 100 °C/s, effectively controlling a triangular wave with consistent heating and cooling rates. The error was less than 8.31%, and the waveform was smooth, with preferable temperature uniformity. It validates the effectiveness of the novel experimental methodology, which may provide a new way to simulate and control the strong transient thermal environments in support of reliability tests and safety research.
KW - Experimental methodology
KW - PID
KW - Strong transient thermal environment
KW - Temperature change
KW - Temperature tracking control
UR - https://www.scopus.com/pages/publications/85215552888
U2 - 10.1007/978-3-031-81673-4_38
DO - 10.1007/978-3-031-81673-4_38
M3 - 会议稿件
AN - SCOPUS:85215552888
SN - 9783031816727
T3 - Mechanisms and Machine Science
SP - 521
EP - 532
BT - Computational and Experimental Simulations in Engineering - Proceedings of ICCES 2024 — International Conference on Computational and Experimental Engineering and Sciences ICCES
A2 - Zhou, Kun
PB - Springer Science and Business Media B.V.
T2 - 30th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2024
Y2 - 3 August 2024 through 6 August 2024
ER -