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Development of last stage blade of 13K215 turbine intermediate pressure module

Radoslaw Bondyra Jan Przytulski Krzysztof Dominiczak
Archives of Thermodynamics | 2022 | vol. 43 | No 1 | 45-62 | DOI: 10.24425/ather.2022.140924
Keywords Efficiency Strength calculation Steam turbine Last stage blade Fluid flow calculation
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Abstract

Paper is considering the purpose and the process of development of last stage blade for intermediate pressure module of 13K215 steam turbine. In the last 20–30 years most of the steam turbine manufacturers were focused on improving such a turbine mainly by upgrading low pressure module. In a result of such a modernization technology were changed from impulse to reaction. The best results of upgrading were given by developing low pressure last stage blade. With some uncertainty and based on state of art knowledge, it can be stand that improving of this part of steam turbine is close to the end. These above indicators show an element on which future research should be focused on – in the next step it should be intermediate pressure module. In the primary design the height of intermediate pressure last stage blade was 500 mm but because of change of technology this value was decreased to 400 mm. When to focus on reaction technology, the height of the last stage blade is related to output power and efficiency. Considered here is the checking the possibility of implementing blades, in a reaction technology, higher than 400 mm and potentially highest. Article shows a whole chosen methodology of topic described above. It leads through the reasons of research, limitations of 13K215 steam turbine, creation of three-dimensional models, fluid flow calculations, mechanical integrity calculations and proposed solutions of design.
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Bibliography

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Authors and Affiliations

Radoslaw Bondyra
1
Jan Przytulski
1
Krzysztof Dominiczak
2
  1. GE Power Ltd, Stoczniowa 2, 82-300 Elblag, Poland
  2. Institute of Fluid Flow Machinery Polish Academy of Sciences, Fiszera 14, 80-231 Gdansk, Poland

Advanced lifetime assessment of steam turbine components based on long-term operating data

Mariusz Banaszkiewicz Wojciech Radulski Krzysztof Dominiczak
Archive of Mechanical Engineering | 2018 | vol. 65 | No 4 | 579-597 | DOI: 10.24425/ame.2018.125443
Keywords steam turbine lifetime assessment creep low-cycle
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Abstract

The paper presents a new method of lifetime calculations of steam turbine components operating at high temperatures. Component life is assessed on the basis of creep-fatigue damage calculated using long-term operating data covering the whole operating period instead of representative events only. The data are analysed automatically by a dedicated computer program developed to handle big amount of process data. Lifetime calculations are based on temperature and stress analyses performed by means of finite element method and using automatically generated input files with thermal and mechanical boundary conditions. The advanced lifetime assessment method is illustrated by an example of lifetime calculations of a steam turbine rotor.

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Authors and Affiliations

Mariusz Banaszkiewicz
Wojciech Radulski
Krzysztof Dominiczak

Optimisation of turbine shaft heating process under steam turbine run-up conditions

Krzysztof Dominiczak Marta Drosińska-Komor Romuald Rzadkowski Jerzy Głuch
Archives of Thermodynamics | 2020 | vol. 41 | No 4 | 255-268 | DOI: 10.24425/ather.2020.135863
Keywords Genetic algorithms Steam turbines Admissible stress Turbine run-up
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Abstract

An important operational task for thermal turbines during run-up and run-down is to keep the stresses in the structural elements at a right level. This applies not only to their instantaneous values, but also to the impact of them on the engine lifetime. The turbine shaft is a particularly important element. The distribution of stresses depends on geometric characteristics of the shaft and its specific locations. This means a groove manufactured for fixing the rotor blades. The extreme stresses in this place occur during the start-up and the shaft heating to normal operating temperature. The process needs optimisation. Optimization tasks are multidisciplinary issues and can be carried out using different methods. In recent years, particular attention in optimisation has been paid to the use of artificial intelligence methods. Among them, a special role is assigned to genetic algorithms. The paper presents a genetic algorithm method to optimise the steam turbine shaft heating process during its start-up phase. The presented optimization task of this algorithm is to carry out the process of the shaft heating as soon as possible at the conditions of not exceeding the stresses at critical locations at any heating phase.

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Authors and Affiliations

Krzysztof Dominiczak
Marta Drosińska-Komor
Romuald Rzadkowski
Jerzy Głuch

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