Optimization of blade cooling system with use of conjugate heat transfer approach

Nowak, Grzegorz; Wróblewski, Włodzimierz

doi:10.1016/j.ijthermalsci.2011.04.001

Cited by 43 publications

(11 citation statements)

References 24 publications

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“…There were a few thermal optimizations done on turbine components, notably Grzegorz and Wlodzimierz [30] optimized the internal cooling schemes in an airfoil with external boundary conditions as given and fixed. Unlike their work, in our study, both the external and internal boundary conditions were affected by the optimization of film hole diameters that metered the coolant flow.…”

Section: Conjugate Heat Transfer Configurationmentioning

confidence: 99%

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Nonlinear Optimization of Turbine Conjugate Heat Transfer with Iterative Machine Learning and Training Sample Replacement

Dutta

Smith

2020

Energies

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A simple yet effective optimization technique is developed to solve nonlinear conjugate heat transfer. The proposed Nonlinear Optimization with Replacement Strategy (NORS) is a mutation of several existing optimization processes. With the improvements of 3D metal printing of turbine components, it is feasible to have film holes with unconventional diameters, as these holes are created while printing the component. This paper seeks to optimize each film hole diameter at the leading edge of a turbine vane to satisfy several optimum thermal design objectives with given design constraints. The design technique developed uses linear regression-based machine learning model and further optimizes with strategic improvement of the training dataset. Optimization needs cost and benefit criteria are used to base its decision of success, and cost is minimized with maximum benefit within given constraints. This study minimizes the coolant flow (cost) while satisfying the constraints on average metal temperature and metal temperature variations (benefits) that limit the useful life of turbine components. The proposed NORS methodology provides a scientific basis for selecting design parameters in a nonlinear design space. This model is also a potential academic tool to be used in thesis works without demanding extensive computing resources.

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Section: Conjugate Heat Transfer Configurationmentioning

confidence: 99%

“…Wang et al [31] used neural and genetic algorithms to optimize film hole shape. Nowak et al [30] optimized the interior structures of a steam turbine airfoil and found that it was computationally demanding. Our proposed NORS optimization technique is simple and yet proved to be effective for thermal optimization.…”

Section: Conjugate Heat Transfer Configurationmentioning

confidence: 99%

Nonlinear Optimization of Turbine Conjugate Heat Transfer with Iterative Machine Learning and Training Sample Replacement

Dutta

Smith

2020

Energies

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“…100-300 • C with an internally cooled metallic base) [15][16][17]. Theories developed in this field indicate that TBCs can have additional benefits such as an increase in mean combustion temperature, reduction in heat loss to the cooling system, increase in the coefficient of thermal efficiency of the engine and enhancement in the fuel consumption rate [18][19][20][21][22][23][24][25]. Several techniques/methods are developed by researchers such as…”

Section: Introductionmentioning

confidence: 99%

Modelling Thermal Conductivity of Porous Thermal Barrier Coatings

2019

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Thermal conductivity of porous thermal barrier coatings was evaluated using a newly developed five-phase model. It was demonstrated that porosities distributed in coating strongly affect thermal conductivity. The decisive reason for this change in thermal conductivity can be traced back to defect morphology and its orientation, depending on the coating deposition technique and process parameters used during deposition. In this paper, the Bruggeman’s two-phase model was used as a reference, and a five-phase model was developed to evaluate the thermal conductivity of porous coatings. This approach uses microstructural details of the shape, size, orientation and volumetric fraction of defects of coatings as input parameters. The proposed model can predict thermal conductivity values better than the previous two-phase model.

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“…It may be noted that conjugate/convective thermal boundary conditions are known to appear in numerous instances of the problems in science and engineering viz. optimization of turbine blade cooling systems (Nowak and Wróblewski, 2011), design of efficient heat exchangers (Zhang, 2013), combustion in gas turbines (Lefebvre, 1998), convective flows set up where the bounding surfaces absorb heat by solar radiation (seasonal thermal energy storage systems), etc. Therefore, a promising sense of applicability and the classic paper by Aziz (2009) prompted several researchers to investigate boundary layer flows with convective surface boundary condition considering various aspects of the problem.…”

Section: Introductionmentioning

confidence: 99%

Unsteady Hydromagnetic Flow past a Moving Vertical Plate with Convective Surface Boundary Condition

Seth¹,

Sarkar²,

Chamkha³

2016

JAFM

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Investigation of unsteady MHD natural convection flow through a fluid-saturated porous medium of a viscous, incompressible, electrically-conducting and optically-thin radiating fluid past an impulsively moving semi-infinite vertical plate with convective surface boundary condition is carried out. With the aim to replicate practical situations, the heat transfer and thermal expansion coefficients are chosen to be constant and a new set of non-dimensional quantities and parameters are introduced to represent the governing equations along with initial and boundary conditions in dimensionless form. Solution of the initial boundaryvalue problem (IBVP) is obtained by an efficient implicit finite-difference scheme of the Crank-Nicolson type which is one of the most popular schemes to solve IBVPs. The numerical values of fluid velocity and fluid temperature are depicted graphically whereas those of the shear stress at the wall, wall temperature and the wall heat transfer are presented in tabular form for various values of the pertinent flow parameters. A comparison with previously published papers is made for validation of the numerical code and the results are found to be in good agreement.

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Optimization of blade cooling system with use of conjugate heat transfer approach

Cited by 43 publications

References 24 publications

Nonlinear Optimization of Turbine Conjugate Heat Transfer with Iterative Machine Learning and Training Sample Replacement

Nonlinear Optimization of Turbine Conjugate Heat Transfer with Iterative Machine Learning and Training Sample Replacement

Modelling Thermal Conductivity of Porous Thermal Barrier Coatings

Unsteady Hydromagnetic Flow past a Moving Vertical Plate with Convective Surface Boundary Condition

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