Optimization and Experiment Study on Start-up Temperature Control Curve of Turbine Rotor

2016 ◽  
Vol 52 (2) ◽  
pp. 189
Author(s):  
Ning XU
2021 ◽  
Vol 826 (1) ◽  
pp. 012055
Author(s):  
Janming Wu ◽  
Yaosheng Tan ◽  
Chunfeng Liu ◽  
Lei Pei ◽  
Yajun Wang ◽  
...  

2016 ◽  
Vol 829 ◽  
pp. 21-26
Author(s):  
Mahdi Torabi Asr ◽  
Reza Osloob ◽  
Faizal Mustapha

H-Darrieus wind turbines, due to their simple design and relatively low manufacturing costs have recently received much attention particularly for standalone applications. However start-up issues associated with their operation restricted their operation in areas of low average wind speed and encourages engineers to develop novel design. Several design proposed in this way but in most cases design came up with complex sensing mechanisms and mechanical actuators or high cost manufacturing parts. A recent rotor design called double Darrieus rotor proposed as a German patent case bridged these complexities appropriately. The aim of present study is to investigate this innovative design from aerodynamic point of view by means of validated CFD techniques. A flow-driven simulation setup based on 6DOF calculations employed in order to study rotor operation from stand still until peak performance obtained. Results from these precise modeling reveal the superiority of the proposed double-stage design in compare with the original H-Darrieus rotors in terms of start-up behavior and optimum performance.


Author(s):  
Ding Guo ◽  
Tianyuan Liu ◽  
Di Zhang ◽  
Yonghui Xie

Abstract Since it is difficult to directly measure the transient stress of a steam turbine rotor in operation, a rotor stress field reconstruction model based on deep fully convolutional network for the start-up process is proposed. The stress distribution in the rotor can be directly predicted based on the temperature of a few measurement points. First, the finite element model is used to accurately simulate the temperature and stress field of the rotor start-up process, generating training data for the deep learning method. Next, data of only 15 temperature measurement points are arranged to predict the stress distribution in critical area of the rotor surface, with the accuracy (R2-score) reaching 0.997. The time cost of the trained neural network model at a single case is 1.42s in CPUs and 0.11s in GPUs, shortened by 97.3% and 99.8% with comparison to finite element analysis, respectively. In addition, the influence of the number of temperature measurement points and the training size are discussed, verifying the stability of the model. With the advantages of fast calculation, high accuracy and strong stability, the fast reconstruction model can effectively realize the stress prediction during start-up processes, resulting in the possibility of real-time diagnosis of rotor strength in operation.


2013 ◽  
Vol 34 (3) ◽  
pp. 89-104
Author(s):  
Andrzej Rusin ◽  
Marian Lipka ◽  
Henryk Łukowicz

Abstract The paper presents the results of the numerical analyses for the steam turbine rotor, dedicated for the newly-designed 900 MW steam unit with supercritical steam parameters (650 °C, 30.0 MPa). Basing on the design calculations, an optimal design solution was determined. Review of the available literature on materials for turbine rotors with supercritical steam parameters was done. Then the start-ups of the turbine were simulated. Thermal and strength states were analyzed. As a result, an optimal start-up characteristic was obtained.


2013 ◽  
Vol 303-306 ◽  
pp. 367-371 ◽  
Author(s):  
Xue Min Sheng ◽  
Xiao Bin Wu ◽  
Yan Feng ◽  
Meng Dong ◽  
Yong Jun Cheng ◽  
...  

This paper based on an equipment which measure the outgassing of vacuum material,adopt some method, constant volume, otiose flux and double channels and so on, testing the deflation of stainless steel(316、304)brass H62, aluminium2A12, and other representative material deflation.We adopt light eradiate to heat up, and the temperature control range is 23°C~300°C, we study the rule of outgassing rate at different temperature, and use QSM to analyze the component of gas.


2019 ◽  
Vol 141 (9) ◽  
Author(s):  
Wukchul Joung ◽  
Joohyun Lee

Recently, a novel temperature control technique utilizing the unique thermohydraulic operating principles of the pressure-controlled loop heat pipes (PCLHPs) was proposed and proved its effectiveness, by which a faster and more stable temperature control was possible by means of the pressure control. However, due to its recent emergence, the proposed hydraulic temperature control technique has not been fully characterized in terms of the various operating parameters including the sink temperature. In this work, the effect of the sink temperature on the loop heat pipe (LHP)-based hydraulic temperature control was investigated to improve the stability of the proposed technique. Start-up characteristics and transient responses of the operating temperatures to different pressure steps and sink temperatures were examined. From the test results, it was found that there was a minimum sink temperature, which ensured a steady-state operation after the start-up and a stable hydraulic temperature control with the increasing pressure steps, due to the unstable balance between the heat leak and the liquid subcooling in the compensation chamber at low sink temperatures. In addition, the range of the stable hydraulic temperature control was extended with the increasing coolant temperature due to the decreased heat leak, which resulted in the increased pressure difference between the evaporator and the compensation chamber. Therefore, it was found and suggested that for a stable hydraulic temperature control in an extended range, it was necessary to operate the PCLHP at higher sink temperatures than the low limit.


Author(s):  
W. Z. Wang ◽  
J. H. Zhang ◽  
H. F. Liu ◽  
Y. Z. Liu

Linear damage method is widely used to calculate low-cycle fatigue damage of turbine rotor in the long-term operation without fully considering the interaction between creep and low cycle fatigue. However, with the increase of steam turbine pressure and temperature, the influence of high-temperature creep on the strain distribution of turbine rotor becomes significant. Accordingly, the strain for each start-up or shut-down process is different. In the present study, the stress and strain during 21 iterations of continuous start-up, running and shut-down processes was numerically investigated by using the finite element analysis. The influence of high-temperature creep on low cycle fatigue was analyzed in terms of equivalent strain, Mises stress and low cycle fatigue damage. The results demonstrated that the life consumption of turbine rotor due to low cycle fatigue in the long-term operation of startup, running and shutdown should be determined from the full-time coverage of the load of turbine rotor.


2013 ◽  
Vol 744 ◽  
pp. 105-109
Author(s):  
Shi Liu ◽  
Heng Liang Zhang ◽  
Yan Zhou ◽  
Dan Mei Xie

Steam turbine units are required to start up and shut down as fast as possible to improve economy and load-response ability of the units under the qualification of safety. it is important to monitor and control thermal state in turbine during operation, especially during the process of start-up and shutdown. Thermal stresses in turbine rotor in thermal power plants are the limiting factors for rapid startup, shutdown or load change. In this paper the online calculation models of temperature and thermal stress for a two-dimensional axis-symmetric object are obtained after disposing of the nonlinear factor such as temperature-dependent properties by a transformation. The model gained can be used to analyze thermal states in thick-walled components, monitoring and control online.


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