Multi‐objective optimization of a rotating cooling channel with staggered pin‐fins for heat transfer augmentation

Moon, Mi-Ae; Husain, Afzal; Kim, Kwang‐Yong

doi:10.1002/fld.2590

Cited by 24 publications

(12 citation statements)

References 44 publications

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“…The inlet temperature is 311.15 K and the mass flow rate at the inlet is 5.5625 9 10 -5 kg/s. This mass flow rate is 1/8 of the mass flow rate on Moon et al [14] simulation since they used a domain with seven pins in the spanwise direction. The Turbulence parameters imposed at the inlet of the 8X channel correspond to a turbulence intensity of 15 %.…”

Section: Case Study Amentioning

confidence: 98%

“…The geometry of this model problem is based on the work of Moon et al [14]. The circular pin diameter is D ¼ 6:345 Â 10 À3 m, the plate fin thickness is d ¼ 0:1; D ¼ 0:6345 Â 10 À4 m, the plate fin length is l ¼ D and the channel height is H ¼ 2D ¼ 12:69 Â 10 À3 m. The spacing between pins (or plates) in the streamwise direction is X ¼ 2D ¼ 12:69 Â 10 À3 m. The pin fins and plate fins heights are equal to the channel height H.…”

Section: Case Study Amentioning

confidence: 99%

“…1 and 2. The first model problem, detailed in the following subsection, is based on the study presented by Moon et al [14]. The second model problem is based on the work of Tchatchouang et al [20].…”

Section: Description Of the Problemmentioning

confidence: 99%

See 2 more Smart Citations

Lower pressure drop turbine blade trailing-edge cooling configuration

Carosio

Mendonça

2014

J Braz. Soc. Mech. Sci. Eng.

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Numerical results for a proposed turbine blade trailing-edge cooling configuration are presented. This proposed configuration is meant to result in the same or higher heat transfer performance but with a reduced pressure drop through the passage. The most common trailingedge cooling configuration is composed of circular pin fin which increases heat transfer due to increased turbulence levels. The configuration proposed in the present investigation is based on short flat plate fins and the heat transfer enhancement is based on the constant restart of a laminar boundary layer over the staggered plates arrangement. This arrangement will produce less turbulence and therefore lower pressure drop. The number of plates necessary to result in the same level of heat transfer as the circular pin fins is determined and the pressure losses between the two configurations are compared. The proposed configuration results in reduced losses and lower cooling air pumping power.

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Section: Case Study Amentioning

confidence: 98%

Section: Case Study Amentioning

confidence: 99%

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Lower pressure drop turbine blade trailing-edge cooling configuration

Carosio

Mendonça

2014

J Braz. Soc. Mech. Sci. Eng.

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show abstract

“…The multi-objective optimization algorithms require a large number of evaluations of performance functions to obtain global Pareto-optimal solutions in design space. There are several surrogate models which are commonly used for solving engineering problems to cut short the computational time and hasten the design optimization process [16,17,18]. Queipo et al [16] presented the analysis of various surrogate models such as polynomial regression based response surface approximation (RSA), Kriging (KRG) and radial basis function (RBF) applied to liquid rocket injector design.…”

Section: Introductionmentioning

confidence: 99%

“…Bellary and Samad [17] applied PRESS-based weighted average surrogate (PWS) model for centrifugal impeller design and optimization. Moon et al [18] optimized rotating cooling channel with staggered pin fins using numerical method coupled with a surrogate model and genetic algorithm. It was observed that the predicted optimal solutions were in good agreement with the Reynolds averaged Navier-Stokes (RANS) calculated solutions.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Design of a Jet Pump by Ensemble of Surrogates and Evolutionary Approach

Husain

Sonawat

Mohan

et al. 2016

International Journal of Fluid Machinery and Systems

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Energy systems working coherently in different conditions may not have a specific design which can provide optimal performance. A system working for a longer period at lower efficiency implies higher energy consumption. In this effort, a methodology demonstrated by a jet pump design and optimization via numerical modeling for fluid dynamics and implementation of an evolutionary algorithm for the optimization shows a reduction in computational costs. The jet pump inherently has a low efficiency because of improper mixing of primary and secondary fluids, and multiple momentum and energy transfer phenomena associated with it. The high fidelity solutions were obtained through a validated numerical model to construct an approximate function through surrogate analysis. Pareto-optimal solutions for two objective functions, i.e., secondary fluid pressure head and primary fluid pressure-drop, were generated through a multi-objective genetic algorithm. For the jet pump geometry, a design space of several design variables was discretized using the Latin hypercube sampling method for the optimization. The performance analysis of the surrogate models shows that the combined surrogates perform better than a single surrogate and the optimized jet pump shows a higher performance. The approach can be implemented in other energy systems to find a better design.

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Multi‐objective optimization design for pressure uniformity in a proton exchange membrane fuel cell stack

Chen

Lin

et al. 2022

Intl J of Energy Research

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Summary For a proton exchange membrane fuel cell (PEMFC), the pressure uniformity of fluid in the stack is a significant factor influencing the cell performance. This study employs the multi‐objective genetic algorithm (MOGA) to optimize the pressure uniformity in a PEMFC stack by adjusting the geometric design of inlet and outlet flow channels. The flow channel geometry is divided into three parts or named factors: tube length, tapered tube length, and channel height. The target is to find the minimum pressure difference between the inlet and outlet flow channels and optimize the pressure uniformity in the stack. The Latin hypercube sampling (LHS) method is used to organize the simulations for the design of experiments (DoEs), and the genetic aggregation (GA) method is employed to generate the response surfaces of the three factors. The resultant response surfaces are utilized to analyze the effects of the three factors on two objective functions, namely, pressure uniformity and pressure drop. The analysis of variance (ANOVA) method is also used to evaluate the influences of the factors, and the results are consistent with those obtained by the response surface method. The results show that the channel height produces the greatest impact on pressure uniformity. An increase in channel height can improve the pressure uniformity and reduce the pressure drop between the inlet and outlet channels. The MOGA analysis determines the optimal geometric design where the maximized pressure uniformity is 0.97 and the minimized pressure drop is 31 kPa. The number of cells in the stack is also taken into consideration. It is found that the influence of the inlet/outlet channel geometry on pressure uniformity is more pronounced when the cell number increases. The results benefit the design of inlet/outlet flow channels and the improvement of pressure uniformity in a PEMFC stack.

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Multi‐objective optimization of a rotating cooling channel with staggered pin‐fins for heat transfer augmentation

Cited by 24 publications

References 44 publications

Lower pressure drop turbine blade trailing-edge cooling configuration

Lower pressure drop turbine blade trailing-edge cooling configuration

Energy Efficient Design of a Jet Pump by Ensemble of Surrogates and Evolutionary Approach

Multi‐objective optimization design for pressure uniformity in a proton exchange membrane fuel cell stack

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