Practical Algorithms for Online Thermal Stress Calculations and Heating Process Control

Rusin, Andrzej; Nowak, Grzegorz; Lipka, M.

doi:10.1080/01495739.2014.937219

Cited by 21 publications

(12 citation statements)

References 7 publications

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“…The calculated temperature transients in nodes 25-36 were smoothed and temperature derivative dT P /dt was calculated. Next, temperature transients in points 13-24 were obtained iteratively using Equation (13). The same equation was used to calculate temperature in nodes 1-12.…”

Section: Numerical Verificationmentioning

confidence: 99%

“…Using the proposed inverse method, the temperature was identified with t = 10 s. The measured temperature transients in nodes 37-48 were smoothed using a third-degree polynomial with 11 subsequent points and the same filter was used to calculate temperature derivative dTP/dt. Similar to the numerical verification in Section 3, the temperature distribution in the collector was identified using Equations (11)- (13). Figure 14 presents the temperature transients calculated by the inverse method on the pipe inner surface.…”

Section: Experimental Verificationmentioning

confidence: 99%

“…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%

“…Such signals carry all essential information about potential damage and can be used very effectively. 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].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Numerical Verificationmentioning

confidence: 99%

Section: Experimental Verificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Duda¹,

Konieczny²

2020

Energies

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“…In power generation industry, the approach based on the Duhamel integral and the Green functions has been widely used for thermal stress calculations [3][4][5][6]. Such an approach has also been adopted for monitoring power boiler operation [7] and can also be used for calculating stress intensity factors at transient thermal loads [8].…”

Section: Introductionmentioning

confidence: 99%

Practical Methods for Online Calculation of Thermoelastic Stresses in Steam Turbine Components

Banaszkiewicz¹,

Badur²

2018

Selected Problems of Contemporary Thermomechanics

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This chapter presents two practical methods of thermoelastic stress calculation suitable for application in online monitoring systems of steam turbines. Both methods are based on the Green function and Duhamel integral and consider the effect of variable heat transfer coefficient and material physical properties on thermal stresses. This effect is taken into account either by using an equivalent steam temperature determined with a constant heat transfer coefficient or by applying an equivalent Green's function determined with variable heat transfer coefficient and physical properties. The effectiveness of both methods was shown by comparing their predictions with the results of exact three-dimensional (3D) calculations of a steam turbine valve.

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Increasing flexibility of boiler operation

Pronobis¹

2020

Environmentally Oriented Modernization of Power Boilers

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Practical Algorithms for Online Thermal Stress Calculations and Heating Process Control

Cited by 21 publications

References 7 publications

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

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

Practical Methods for Online Calculation of Thermoelastic Stresses in Steam Turbine Components

Increasing flexibility of boiler operation

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