On-line monitoring and control of thermal stresses in steam turbine rotors

Banaszkiewicz, M.

doi:10.1016/j.applthermaleng.2015.10.131

Cited by 39 publications

(21 citation statements)

References 23 publications

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“…(6) depends on the surface type and flow character [11]. The heat transfer model adopted in this study is based on the well-proven formulae for heat transfer coefficients in steam turbine rotors and can be employed in online calculations of temperatures and thermal stresses [14], which is not possible when more advanced thermal FSI (fluid-structure interaction) modeling is adopted [15][16][17][18].…”

Section: Heat Conduction Problemmentioning

confidence: 99%

“…Instead of estimating the plastic strains based on thermoelastic stresses and using analytical notch stress-strain correction methods [4,14], a more accurate approach with direct use of elastic-plastic material was adopted. Numerical calculations were performed using Abaqus [21], employing elastic-plastic material model with the Prager-Ziegler linear kinematic hardening.…”

Section: Plasticity Modelmentioning

confidence: 99%

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Numerical Modeling of Cyclic Creep-Fatigue Damage Development for Lifetime Assessment of Steam Turbine Components

Banaszkiewicz¹

2018

Thermal Power Plants - New Trends and Recent Developments

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The paper presents the results of numerical analysis of creep-fatigue damage development in a steam turbine rotor under cyclic duty. Investigations were performed for a full cycle representing the most accurate description of real operation and three simplified cycles representative of different levels of simplification in inelastic strains modeling. It was shown by numerical simulations that significant inaccuracies in creep-fatigue damage predictions, reaching an order of magnitude in deviation of inelastic strains, cannot be excluded when simplified models are used. It is thus concluded that full consideration of creep-fatigue damage at real operating conditions requires proper modeling of stress/ strain histories using visco-elastic-plastic material models.

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Section: Heat Conduction Problemmentioning

confidence: 99%

Section: Plasticity Modelmentioning

confidence: 99%

Numerical Modeling of Cyclic Creep-Fatigue Damage Development for Lifetime Assessment of Steam Turbine Components

Banaszkiewicz¹

2018

Thermal Power Plants - New Trends and Recent Developments

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“…However, such offline algorithms are not suitable for structure monitoring systems, which must work in the online mode. Various diagnostic methods based on direct solutions can be found in the literature [12][13][14]. An online monitoring system for detecting defects in a hydrogen storage vessel using the wave scattering phenomenon is presented in [12].…”

Section: Introductionmentioning

confidence: 99%

“…The Green's-Function Technique is used for online thermal stress determination in rotors and casings of next-generation turbines [13]. This method enables fast calculation of thermal stresses in supervised areas for any changes in the fluid temperature causing element heating or cooling [14]. A crucial effect of the variation of the heat transfer coefficient on the shape of Green's function and on thermal stress evolution is shown on the example of a simple cylinder representing a turbine rotor heated at a constant rate.…”

Section: Introductionmentioning

confidence: 99%

Experimental Verification of the Inverse Method of the Heat Transfer Coefficient Calculation

Duda¹,

Konieczny²

2020

Energies

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The purpose of this work is to formulate a method which can be used to solve nonlinear inverse heat conduction problems and to calculate the heat transfer coefficient distribution on the unknown boundary. The domain under consideration is divided into control volumes in polar coordinates, and heat balance equations are written. Based on temperature transients measured in selected points on the outer surface, temperature values in other points of the domain are determined. Finally, the heat transfer coefficient distribution on the inner surface with the unknown boundary condition is calculated from the presented heat balance equation. The proposed inverse method was verified experimentally using a collector that is part of a semi-industrial laboratory system. This collector is a horizontal, cylindrical thick-walled tank with flat side walls with outlets that enable oil supply and removal. Each side wall has an additional connector to ensure venting. The calculations made it possible to identify the phenomena occurring inside the collector during the experiment. The transient temperature distribution identified by the proposed inverse method was verified by a comparison of the calculated and the measured temperature transients in points inside the collector wall. Very good agreement is observed between the calculated and the measured temperature transients, which confirms the correctness of the identification. This proposed inverse method of the temperature and the heat transfer coefficient calculation is fast enough to apply in online thermal state monitoring systems. The proposed algorithm presented in this paper can easily be implemented industrially.

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“…After analysing the load status of individual devices of the cycle, it should be noted that particularly vulnerable to variable parameters of steam are boilers [4][5][6][7][8][9], then valves [10] and finally the first stages of the turbine [11][12][13][14][15]. To face these threats, it is necessary to increase the safety of operation of energy cycles including steam turbine type 18K370 [1][2][3].…”

Section: Introductionsmentioning

confidence: 99%

Issues to improve the safety of 18K370 steam turbine operation

Bzymek¹,

Badur

Ziółkowski

2017

E3S Web Conf.

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Abstract. The paper presents the process of improving the safety and reliability of operation the 18K370 steam turbines Opole Power Plant since the first failure in 2010 [1], up to install the on-line monitoring system [2]. It shows how the units work and how to analyse the contol stage as a critical node in designing the turbine. Selected results of the analysis of the strength of CSD (Computational Solid Dynamic) and the nature of the flow in different operating regimes -thanks to CFD (Computational Fluid Dynamic) analysis have been included. We have also briefly discussed the way of lifecycle management of individual elements [2,3]. The presented actions could be considered satisfactory, and improve the safety of operating steam turbines of type 18K370.

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On-line monitoring and control of thermal stresses in steam turbine rotors

Cited by 39 publications

References 23 publications

Numerical Modeling of Cyclic Creep-Fatigue Damage Development for Lifetime Assessment of Steam Turbine Components

Numerical Modeling of Cyclic Creep-Fatigue Damage Development for Lifetime Assessment of Steam Turbine Components

Experimental Verification of the Inverse Method of the Heat Transfer Coefficient Calculation

Issues to improve the safety of 18K370 steam turbine operation

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