A Predictive Model for Preliminary Gas Turbine Blade Cooling Analysis

Chowdhury, Nafiz H. K.; Zirakzadeh, Hootan; Han, Je-Chin

doi:10.1115/1.4036302

Cited by 12 publications

(4 citation statements)

References 25 publications

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“…The value of E h is between 2 and 6, although it is claimed that the value above 5 appears extremely difficult in practice (Consonni, 1992). Therefore, in general, the value of E h is taken between 2 and 4 (Chowdhury et al, 2017). In the present paper, E h ¼ 3.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of the cooling flow rate of the cooled steam turbine for a novel H2/O2 cycle

Ma,

Shi,

et al. 2024

J. Glob. Power Propuls. Soc.

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In recent years, with the global low-carbon development, hydrogen as a clean fuel for the industry has attracted the interest of many research institutions all over the world. The potential of hydrogen energy in energy transformation has been paid attention to again. In the power generation industry, using hydrogen as gas turbine fuel is likely to play an important role in achieving carbon neutrality. At design stage, it is necessary to perform a preliminary evaluation of the performance of the novel hydrogen-fueled cycle with a few (or even without) experimental data. It is sure that secondary cooling systems have a significant impact on it. In this paper, a methodology is adopted for the cooling of hydrogen-fueled gas turbine. It is based on mass/energy balances and heat transfer correlations. The aim is to evaluate the turbine efficiency and cooling flow requirements of the novel hydrogen-fueled cycle. When both the working fluid and coolant are steam, the cooling flow rate is less. Preliminary results for the novel H2/O2 cycle turbine show that part of the stages need to be cooled and the film cooling effectiveness is less.

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Section: Methodsmentioning

confidence: 99%

Evaluation of the cooling flow rate of the cooled steam turbine for a novel H2/O2 cycle

Ma,

Shi,

et al. 2024

J. Glob. Power Propuls. Soc.

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show abstract

“…This is presented in a normalized form, ϕ w1 [Eq. (8)], in Fig. 3, for the nominal boundary conditions listed in Table 3 (typical of lab experiments in which Reynolds number is matched, but in which temperature ratio T 01 ∕T 02 is lower than the engine situation).…”

Section: Methods For Extracting Underlying Boundary Conditionsmentioning

confidence: 99%

“…R ESEARCH investment in metal effectiveness (or overall cooling effectiveness) measurement techniques has been driven by the desire to accurately assess the overall thermal performance of nozzle guide vanes or turbine blades at engine-realistic conditions [1][2][3][4][5][6]. The traditional approach of predicting overall thermal performance of such parts from a thermal model with boundary conditions obtained from separate experiments [7][8][9][10] has the disadvantage that errors in underlying measurements can accumulate in the final result. Additionally, certain coupling terms are inherently absent in the separated experiments, limiting the accuracy of the predicted performance, even in the absence of experimental errors.…”

Section: Nomenclaturementioning

confidence: 99%

Methods to Extract Underlying Boundary Conditions from Transient Metal Effectiveness Measurements

Michaud

Povey

2021

Journal of Thermophysics and Heat Transfer

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Metal effectiveness measurements (or overall cooling effectiveness measurements) are becoming increasingly used to understand complex coupled systems in gas turbine experimental research. Unlike traditional techniques in which individual boundary conditions are measured in isolation and superposed using a thermal model, metal effectiveness measurements give the final result of a complex coupled system. In correctly scaled experiments this allows aerothermal performance at near-engine conditions to be evaluated directly, and is thus powerful both as a research technique and for derisking engine development programs. The technique is particularly useful for evaluating the thermal performance of internally cooled turbine components, because of the complexity and degree of interaction of the underlying boundary conditions. An intrinsic limitation of metal effectiveness measurement data is that the individual boundary conditions (e.g., the internal and external heat transfer coefficients) cannot be directly obtained from the final measurement. Decoupling of these boundary conditions would allow deeper understanding of the systems that are the subject of experiments. The objective of this paper is to present methods to extract the individual underlying boundary conditions from data available in typical metal effectiveness experimental measurements, and to assess the uncertainty associated with decoupling techniques. Although we reference experimental data from advanced facilities for metal effectiveness research throughout, much of the analysis is performed using a low-order heat transfer model to allow the impact of experiment design and measurement errors to be clearly separated at each stage of the analysis.

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“…Temperature profiles from the simulation tool and experiment matched well. Chowdhury et al [9] developed a model to calculate the distribution of the coolant mass flow rate and the metal temperatures of a turbine blade, using the mass and energy balance equations at given external and internal boundary conditions. With the application of predicting the temperature distribution of the GE E3 stage 1 blade, this model proved, with reasonable accuracy, if the correct boundary conditions were applied.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Conjugate Heat Transfer Analysis of a Gas Turbine Vane

Cui

Wang

et al. 2022

Processes

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Cooling structures of gas turbine blades have become more complex to achieve a better cooling effect. Therefore, heat transfer analysis tools with higher accuracy and efficiency are required to verify the effectiveness of cooling designs and continuously improve the design. In this work, a data-driven method is combined with a decoupled conjugate heat transfer analysis. The analysis object is a typical air-cooled gas turbine first-stage vane with film cooling, impingement cooling, and pin-fin cooling. In addition, a conventional 3-D conjugate heat transfer simulation of the vane was executed for contrast. Results show that this method shortens the time of the heat transfer analysis process significantly and ensures accuracy. It proves that the data-driven method is effective for the evaluation of a modern gas turbine cooling design and is an improvement compared to the traditional three-dimensional heat transfer analysis method.

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A Predictive Model for Preliminary Gas Turbine Blade Cooling Analysis

Cited by 12 publications

References 25 publications

Evaluation of the cooling flow rate of the cooled steam turbine for a novel H<sub>2</sub>/O<sub>2</sub> cycle

Evaluation of the cooling flow rate of the cooled steam turbine for a novel H<sub>2</sub>/O<sub>2</sub> cycle

Methods to Extract Underlying Boundary Conditions from Transient Metal Effectiveness Measurements

Data-Driven Conjugate Heat Transfer Analysis of a Gas Turbine Vane

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