Optimal U-shaped baffle square-duct heat exchanger through surrogate-assisted self-adaptive differential evolution with neighbourhood search and weighted exploitation-exploration

Wansaseub, Kittinan; Pholdee, Nantiwat; Bureerat, Sujin

doi:10.1016/j.applthermaleng.2017.02.100

Cited by 21 publications

(3 citation statements)

References 60 publications

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“…Latin Hypercube Sampling scheme has been extensively used in a string of different ducts and channels optimization works. 9,14,19,[42][43][44][45] An initial set of samples was generated with use of optimumLHS function from R programming language lhs package. 46 In order to reduce the number of computationally expensive objective function evaluations only 10 samples were generated at the primary stage and the set size was gradually increased during the optimization process.…”

Section: Design Of Experimentsmentioning

confidence: 99%

Multi-objective surrogate model-based optimization of a small aircraft engine air-intake duct

Drężek

Kubacki

Żółtak

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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Aviation industry is constantly striving for more efficient design processes in respect to optimal time, human and computational resources utilization. This implies a need for application of an approximation techniques enabling for fast responses generation with maintained level of results quality. This study focuses on an advancement of aerodynamic shape optimization process of a small aircraft engine intake system by introduction of a surrogate modelling step into the design loop. The multi-objective metamodel assisted optimization is carried out in order to reduce pressure losses along the engine intake duct and increase flow homogeneity at the engine compressor intake plane. Latin Hypercube Design method is utilized in order to sample the design space. A set of initial objective function evaluations is generated with application of Reynolds-averaged Navier–Stokes solver. The ensemble of samples is further used to train a Kriging-based surrogate model. The Efficient Global Optimization algorithm basing on the Expected Improvement function is employed to gradually increase the metamodel prediction quality by usage of sequential sampling technique. Finally, the optimal point predicted by the Kriging surrogate is validated against the high-fidelity model with usage of the Computational Fluid Dynamics code. The paper presents an application of the abovementioned methodology to the design process of the I-31T aircraft turboprop engine intake system. Proposed Kriging-based optimization workflow is utilized in order to reduce pressure losses and improve flow homogeneity in the engine air-intake duct.

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Section: Design Of Experimentsmentioning

confidence: 99%

Multi-objective surrogate model-based optimization of a small aircraft engine air-intake duct

Drężek

Kubacki

Żółtak

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…It should be noted that the parameter settings used in this paper are either the default values provided or suggested by their authors. Also, they have been used in some previous studies with acceptable results [ 17 , 27 – 30 ].…”

Section: Numerical Experimentsmentioning

confidence: 99%

Optimal Synthesis of Four-Bar Linkage Path Generation through Evolutionary Computation with a Novel Constraint Handling Technique

Sleesongsom

Bureerat

2018

Computational Intelligence and Neuroscience

Self Cite

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This paper presents a novel constraint handling technique for optimum path generation of four-bar linkages using evolutionary algorithms (EAs). Usually, the design problem is assigned to minimize the error between desired and obtained coupler curves with penalty constraints. It is found that the currently used constraint handling technique is rather inefficient. In this work, we propose a new technique, termed a path repairing technique, to deal with the constraints for both input crank rotation and Grashof criterion. Three traditional path generation test problems are used to test the proposed technique. Metaheuristic algorithms, namely, artificial bee colony optimization (ABC), adaptive differential evolution with optional external archive (JADE), population-based incremental learning (PBIL), teaching-learning-based optimization (TLBO), real-code ant colony optimization (ACOR), a grey wolf optimizer (GWO), and a sine cosine algorithm (SCA), are applied for finding the optimum solutions. The results show that new technique is a superior constraint handling technique while TLBO is the best method for synthesizing four-bar linkages.

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“…A detailed examination of the impact of the obstacle geometry reconfiguration has been conducted by other authors on the fluid flow and heat transfer characteristics in some particular cases of air flow geometry, for example simple (Demartini et al , 2004; Mokhtari et al , 2017), triangular and trapezoidal (Guerroudj and Kahalerras, 2010), L-shaped (Menni et al , 2016), helical (Lei et al , 2008), waisted triangular (Menni et al , 2017), diamond (Sripattanapipat and Promvonge, 2009), U-shaped (Wansaseub et al , 2017), V-shaped (Jedsadaratanachai et al , 2015; Menni and Azzi, 2018a; Menni et al , 2018c), double V-shaped (Jedsadaratanachai and Boonloi, 2014), arc (Menni et al , 2018d), corrugated (Menni et al , 2018e), cascaded (Zamfirescu and Feidt, 2007; Menni and Azzi, 2017, 2018b, 2018c) and Z-shaped (Sriromreun et al , 2012; Menni and Azzi, 2018c). Different geometry parameters and various operating conditions were used in the previous studies.…”

Section: Introductionmentioning

confidence: 99%

Effect of wall-mounted V-baffle position in a turbulent flow through a channel

Menni

Aberqi

Chamkha

et al. 2018

HFF

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Purpose The purpose of this paper is to carry out a numerical study on the dynamic and thermal behavior of a fluid with a constant property and flowing turbulently through a two-dimensional horizontal rectangular channel. The upper surface was put in a constant temperature condition, while the lower one was thermally insulated. Two transverse, solid-type obstacles, having different shapes, i.e. flat rectangular and V-shaped, were inserted into the channel and fixed to the top and bottom walls of the channel, in a periodically staggered manner to force vortices to improve the mixing, and consequently the heat transfer. The flat rectangular obstacle was put in the first position and was placed on the hot top wall of the channel. However, the second V-shaped obstacle was placed on the insulated bottom wall, at an attack angle of 45°; its position was varied to find the optimum configuration for optimal heat transfer. Design/methodology/approach The fluid is considered Newtonian, incompressible with constant properties. The Reynolds averaged Navier–Stokes equations, along with the standard k-epsilon turbulence model and the energy equation, are used to control the channel flow model. The finite volume method is used to integrate all the equations in two-dimensions; the commercial CFD software FLUENT along with the SIMPLE-algorithm is used for pressure-velocity coupling. Various values of the Reynolds number and obstacle spacing were selected to perform the numerical runs, using air as the working medium. Findings The channel containing the flat fin and the 45° V-shaped baffle with a large Reynolds number gave higher heat transfer and friction loss than the one with a smaller Reynolds number. Also, short separation distances between obstacles provided higher values of the ratios Nu/Nu0 and f/f0 and a larger thermal enhancement factor (TEF) than do larger distances. Originality/value This is an original work, as it uses a novel method for the improvement of heat transfer in completely new flow geometry.

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Optimal U-shaped baffle square-duct heat exchanger through surrogate-assisted self-adaptive differential evolution with neighbourhood search and weighted exploitation-exploration

Cited by 21 publications

References 60 publications

Multi-objective surrogate model-based optimization of a small aircraft engine air-intake duct

Multi-objective surrogate model-based optimization of a small aircraft engine air-intake duct

Optimal Synthesis of Four-Bar Linkage Path Generation through Evolutionary Computation with a Novel Constraint Handling Technique

Effect of wall-mounted V-baffle position in a turbulent flow through a channel

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