Numerical investigation on the performances of porous matrix with transpiration and film cooling

Ding, Rui; Wang, Jianhua; He, Fei; Dong, Guangqi; Tang, Longsheng

doi:10.1016/j.applthermaleng.2018.09.134

Cited by 38 publications

(14 citation statements)

References 20 publications

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“…1,7 Even so it has been invented in the 1950s, 8 due to both advances made in manufacturing and the need for greater cooling efficiency, recently transpiration cooling has come back into the focus of research and has been intensively studied experimentally, analytically and numerically. 5,[9][10][11][12][13][14] The porous materials used for transpiration cooling have to meet certain requirements, like high porosity, light-weight, precise geometry, and additionally, for turbine blades, 6 great material strength. Commonly used types of porous materials are sintered metal or ceramic porous media 7 and ceramic matrix composites, 15 leaving the pores to be a result of randomness.…”

Section: Transpiration Coolingmentioning

confidence: 99%

Probabilistic constrained Bayesian inversion for transpiration cooling

Steins

Bui‐Thanh²,

Herty

et al. 2022

Numerical Methods in Fluids

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To enable safe operations in applications such as rocket combustion chambers, the materials require cooling to avoid material damage. Here, transpiration cooling is a promising cooling technique. Numerous studies investigate possibilities to simulate and evaluate the complex cooling mechanism. One naturally arising question is the amount of coolant required to ensure a safe operation. To study this, we introduce an approach that determines the posterior probability distribution of the Reynolds number using an inverse problem and constraining the maximum temperature of the system under parameter uncertainties. Mathematically, this chance inequality constraint is dealt with by a generalized polynomial chaos expansion of the system. The posterior distribution will be evaluated by different Markov chain Monte Carlo based methods. A novel method for the constrained case is proposed and tested among others on two‐dimensional transpiration cooling models.

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Section: Transpiration Coolingmentioning

confidence: 99%

Probabilistic constrained Bayesian inversion for transpiration cooling

Steins

Bui‐Thanh²,

Herty

et al. 2022

Numerical Methods in Fluids

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show abstract

“…Some applications nowadays considered for transpiration cooling include scramjet combustion chambers [4], rocket thrust chambers [5], turbine blades [6] and others [1,7]. Even so it has been invented in the 1950's [8], due to both advances made in manufacturing and the need for greater cooling efficiency, recently transpiration cooling has come back into the focus of research and has been intensively studied experimentally, analytically and numerically [5,9,10,11,12,13,14].…”

Section: Introductionmentioning

confidence: 99%

“…For simulation and optimization of transpiration cooling, temperature models [11,20] and coupled simulations [12,5] are used. The point of departure of this work is the publication by Dahmen et al [5].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Constrained Bayesion Inversion for Transpiration Cooling

Steins¹,

Bui-Thanh²,

Herty³

et al. 2022

Preprint

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To enable safe operations in applications such as rocket combustion chambers, the materials require cooling to avoid material damage. Here, transpiration cooling is a promising cooling technique. Numerous studies investigate possibilities to simulate and evaluate the complex cooling mechanism. One naturally arising question is the amount of coolant required to ensure a safe operation. To study this, we introduce an approach that determines the posterior probability distribution of the Reynolds number using an inverse problem and constraining the maximum temperature of the system under parameter uncertainties. Mathematically, this chance inequality constraint is dealt with by a generalized Polynomial Chaos expansion of the system. The posterior distribution will be evaluated by different Markov Chain Monte Carlo based methods. A novel method for the constrained case is proposed and tested among others on two-dimensional transpiration cooling models.

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“…Traditional passive cooling methods are difficult to satisfy high thermal protection requirements and ensure the operation of the hypersonic vehicles. Many researchers pay attention to active thermal protection to provide higher efficiency thermal protection for propulsion systems, especially for a scramjet engine (Ding et al, 2019;Zuo et al, 2021). Using fuel as the coolant, regenerative cooling is a typical convective cooling method with quantities of cooling channels mounted inside the combustor wall (Jing et al, 2017;Zhao et al, 2018;Jin et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Heat transfer and flow structures of supercritical n-decane in a regenerative cooling channel loaded with non-uniform heat flux

Liu

Ma³

et al. 2022

Front. Energy Res.

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A harsh and complex thermal environment in the combustor threatens safe working of scramjets. In this study, heat transfer and flow structures of supercritical n-decane under 3 MPa in a regenerative cooling channel loaded with non-uniform heat flux distributions are investigated, including uniform, sinusoidal, increased, and decreased heat flux distributions. A verified k–ω SST turbulence model was employed, and a corresponding mesh independence study was performed. From this work, the fluid temperature at the outlet of the heated channel is only determined by the averaged heat flux, and all the regenerative cooling channels achieve the same temperature although loaded with different heat flux distributions. Compared with the fluid temperature, the wall temperature distribution is more sensitive to the variations of heat flux distribution. The regenerative cooling channels loaded with the sinusoidal heat flux distributions exist in several high-temperature regions, and the channel loaded with linear distributions changes the trend of temperature distribution. A larger temperature gradient is found in the regenerative cooling channel wall with a lower thermal conductivity. This work provides a good insight into the characteristics of the flow and temperature field of regenerative cooling channels loaded with non-uniform heat flux considering the effect of conjugate heat transfer.

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Numerical investigation on the performances of porous matrix with transpiration and film cooling

Cited by 38 publications

References 20 publications

Probabilistic constrained Bayesian inversion for transpiration cooling

Probabilistic constrained Bayesian inversion for transpiration cooling

Probabilistic Constrained Bayesion Inversion for Transpiration Cooling

Heat transfer and flow structures of supercritical n-decane in a regenerative cooling channel loaded with non-uniform heat flux

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