Shape design of internal cooling passages within a turbine blade

Nowak, Grzegorz; Nowak, Iwona

doi:10.1080/0305215x.2011.580742

Cited by 16 publications

(5 citation statements)

References 19 publications

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“…Apart from that, our new design variables are mixed integer/continuous where it is difficult to apply any gradient-based optimizer to solve the design problem. The successful use of EAs for complex engineering design has been reported, for example, in Lencus et al [20] and G. Nowak and I. Nowak [21]. EAs for multiobjective optimization, traditionally termed multiobjective evolutionary algorithms (MOEAs), have one outstanding feature; that is, they can explore a nondominated front within one simulation run.…”

Section: Mpbil and Ompbilmentioning

confidence: 99%

Morphing Wing Structural Optimization Using Opposite-Based Population-Based Incremental Learning and Multigrid Ground Elements

Sleesongsom¹,

Bureerat

2015

Mathematical Problems in Engineering

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This paper has twin aims. Firstly, a multigrid design approach for optimization of an unconventional morphing wing is proposed. The structural design problem is assigned to optimize wing mass, lift effectiveness, and buckling factor subject to structural safety requirements. Design variables consist of partial topology, nodal positions, and component sizes of a wing internal structure. Such a design process can be accomplished by using multiple resolutions of ground elements, which is called a multigrid approach. Secondly, an opposite-based multiobjective population-based incremental learning (OMPBIL) is proposed for comparison with the original multiobjective population-based incremental learning (MPBIL). Multiobjective design problems with single-grid and multigrid design variables are then posed and tackled by OMPBIL and MPBIL. The results show that using OMPBIL in combination with a multigrid design approach is the best design strategy. OMPBIL is superior to MPBIL since the former provides better population diversity. Aeroelastic trim for an elastic morphing wing is also presented.

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Section: Mpbil and Ompbilmentioning

confidence: 99%

Morphing Wing Structural Optimization Using Opposite-Based Population-Based Incremental Learning and Multigrid Ground Elements

Sleesongsom¹,

Bureerat

2015

Mathematical Problems in Engineering

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“…This particular concept still has many hurdles to overcome in terms of development which is displayed in the varying experiments that have been utilizing cooling channel optimization and even the function of micro-turbines. Several papers outlining optimization of cooling configurations include work produced by (Wang, 2015), (Muller, 2001), (Dennis, 2003), (Sung, 2006), (Bhon, 2003), (Nowak, 2007(Nowak, -2012, along with works of (Verstraete, 2010) just to list a few.…”

Section: Micro-cooling Channelsmentioning

confidence: 99%

“…Nowak investigated several theories dealing with various parameters that effect the cooling of blade and vane configurations (Nowak, 2007(Nowak, -2012. One specifically is the optimization of cooling configurations based off of an evolutionary algorithm.…”

Section: K-kl-ωmentioning

confidence: 99%

“…One specifically is the optimization of cooling configurations based off of an evolutionary algorithm. This particular algorithm imitates real life with the evolution process of living organisms; this method is based on a probabilistic search and an imitation of biological evolution (Nowak, 2007(Nowak, -2012. The author also explored different shapes and concluded that CHT Muller took an evolutionary algorithm and implemented a realistic automated design cycle of turbine film cooling (Muller, 2001).…”

Section: K-kl-ωmentioning

confidence: 99%

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Analysis of a Coupled Micro- and Triple- Impingement Cooling Configuration in the C3X Vane

Rossman¹

2016

52nd AIAA/SAE/ASEE Joint Propulsion Conference

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“…Their findings indicate an effect at the tip region but it vanishes at the hub region. Optimization of internal cooling is also investigated by researchers in order to find the optimum parameters of the whole process [13][14][15]. Mousavi et al were also interested in finding optimum cooling.…”

Section: Introductionmentioning

confidence: 99%

Simulation of temperature distribution in gas turbine stator blade subjected to different internal coolant gases

Hamza

Hamzah

Al‐Farhany

et al. 2021

QJES

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The gas turbine blade stator is subjected to a severely high temperature of hot incoming gases from the combustor. In order to avoid the melting of the stator, film and internal cooling techniques are applied by using a bypass stream of air from the compressor as a coolant fluid. These techniques have their own merits, but it is limited by some constraints like the value of specific heat of air. In this paper, different gases with higher specific heat are used as a coolant in order to increase the thermal capacity of coolant fluid which in turn increases the amount of transferred heat. The selected gases Helium, Steam, and Ammonia are applied in COMSOL Multiphysics® in order to simulate the cooling process and the temperature distribution. At first, the air is applied and the results show a good agreement with previous literature then the other coolants compare their results with the air. The results show that the Helium affects the cooling process strongly and it cools the blade to safer limits rather than air by about 50%, but it increases von Mises stress by about 71% in comparison with air. The two other coolants also have a good and effective cooling performance, but they almost show an identical performance.

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Shape design of internal cooling passages within a turbine blade

Cited by 16 publications

References 19 publications

Morphing Wing Structural Optimization Using Opposite-Based Population-Based Incremental Learning and Multigrid Ground Elements

Morphing Wing Structural Optimization Using Opposite-Based Population-Based Incremental Learning and Multigrid Ground Elements

Analysis of a Coupled Micro- and Triple- Impingement Cooling Configuration in the C3X Vane

Simulation of temperature distribution in gas turbine stator blade subjected to different internal coolant gases

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