Low cycle fatigue life modelling using finite element strain range partitioning for a steam turbine rotor steel

Azeez, Ahmed; Eriksson, Robert; Leidermark, Daniel; Calmunger, Mattias

doi:10.1016/j.tafmec.2020.102510

Cited by 14 publications

(2 citation statements)

References 10 publications

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“…The stress control of steam turbine rotor is mainly to ensure the safety of the unit in more efficient operation. In the unit, the rotor of steam turbine is an important part, which carries the energy and torque [1]. The safety of steam turbine unit is mainly determined by the quality of turbine rotor.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Thermal Stress and Control for steam turbine

Wang

Chen

Sun

2023

Preprint

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In this paper, the method of system identification and predictive control is used to control the stress of steam turbine rotor. Firstly, the three-dimensional model of turbine rotor is established by using finite element simulation software, and then the results are identified by using ANSYS finite element analysis software. The transfer function is obtained. Firstly, the temperature model is identified with an accuracy of 99.73%, and then the stress model is identified with an accuracy of 98.2% $. Then the transfer function is discretized, and the data is input into the discrete transfer function to verify the accuracy of system identification. After the accurate verification of the transfer function, the transfer function is transformed into the dynamic matrix control model, and then the stress feedback controller is designed to realize the model predictive control (MPC) of the rotor stress. At the same time, the output response of the system before and after the addition of the controller is compared. Finally, the rationality of the control model is verified. Future work will concentrate on more complex working conditions.

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Section: Introductionmentioning

confidence: 99%

Modeling of Thermal Stress and Control for steam turbine

Wang

Chen

Sun

2023

Preprint

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“…In today's society, people's demand for electricity is higher and higher [1]. In order to ensure people's power demand, it is necessary to improve the operation efficiency of steam turbine unit, which means that the start-up time of the unit needs to be shortened.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Thermal Stress and Control for Steam Turbine

Wang,

Dong,

Sun

2023

JAIMLD

View full text Add to dashboard Cite

In this paper, the method of system identification and predictive control is used to control the stress of steam turbine rotor. Firstly, the three-dimensional model of turbine rotor is established by using finite element simulation software, and then the results are identified by using ANSYS finite element analysis software. The transfer function is obtained. Firstly, the temperature model is identified with an accuracy of 99.73%, and then the stress model is identified with an accuracy of 98.2%. Then the transfer function is discretized, and the data is input into the discrete transfer function to verify the accuracy of system identification. After the accurate verification of the transfer function, the transfer function is transformed into the dynamic matrix control model, and then the stress feedback controller is designed to realize the model predictive control (MPC) of the rotor stress. At the same time, the output response of the system before and after the addition of the controller is compared. Finally, the rationality of the control model is verified. Further research will be conducted on the impact of various environmental factors such as temperature, load and rotational speed on the stress of turbine rotor in future work.

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