Hu Dongfang

Hu Dongfang, probationary associate professor, graduated with a PhD from Beijing University of Chemical Technology. Research direction is vibration monitoring of turbine blades and digital twin technology.

High end equipment urgently needed for China's national defense construction and economic development, such as aircraft engines and gas turbines. Blades are the core components for energy conversion in aircraft engines, and their operational safety is extremely important. Under the influence of multiple unsteady excitations, severe vibrations can easily cause cracks or even fractures in the blades. Improper maintenance and support can lead to serious accidents. The non-contact measurement technology for blade tip timing has developed rapidly in the past decade. The blade tip timing technology uses laser fiber sensors arranged on the casing to monitor the arrival time of the blades, further analyze and obtain blade vibration information. The use of blade tip timing technology is expected to achieve goals such as blade crack identification, fault diagnosis, dynamic stress measurement, and life prediction.

A systematic method for non-contact precise measurement of blade dynamic stress was proposed, which improved the accuracy of non-contact measurement of blade dynamic stress from multiple aspects such as measurement point calibration, model updating, and consideration of rotation effects; (2) The automatic optimization method for multi-modal dynamic strain measurement points of blades. Due to the complex multi-modal vibration phenomenon of blades, the proposed method achieves multi-modal and highly sensitive measurement of blades with fewer measurement points, improving the efficiency of dynamic stress testing and significantly reducing testing costs; (3) Method for identifying and updating leaf multi element detuning, established through multi element detuning identification. The above technology has been tested on a key model engine. The above methods have improved the accuracy of measuring blade dynamic stress and enhanced the ability to predict and evaluate blade life. Blades are the core components in fluid machinery, and their health is related to the safe operation of the unit. Relying on the above research results, the safety of major equipment such as aviation engines and gas turbines has been ensured and improved.

Engineering Finite Element and Numerical Analysis, Undergraduate Course.