2015
DOI: 10.1016/j.ces.2014.11.051
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Heuristic shape optimization of baffled fluid distributor for uniform flow distribution

Abstract: International audienceThis paper presents a CFD-based, heuristic evolutionary algorithm for shape design and optimization of baffled fluid distributor. In this algorithm, the baffle surface is firstly divided into numerous identical control areas (volumes), each control area having an orifice in the middle. Under the constraint of constant global porosity of the baffle, the algorithm adjusts the size distribution of orifices so as to approach identical mass flowrate passing through every control area. An autom… Show more

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Cited by 45 publications
(26 citation statements)
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“…This case study implies that the proposed evolutionary algorithm is efficient for fluid flow homogenization. More details on the performance of evolutionary algorithm for uniform flow distribution, especially the effects of the baffle location, the initial size distribution of orifices and the global porosity can be found in our earlier work (Luo et al, 2015b). …”
Section: Flat Target Curvementioning
confidence: 99%
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“…This case study implies that the proposed evolutionary algorithm is efficient for fluid flow homogenization. More details on the performance of evolutionary algorithm for uniform flow distribution, especially the effects of the baffle location, the initial size distribution of orifices and the global porosity can be found in our earlier work (Luo et al, 2015b). …”
Section: Flat Target Curvementioning
confidence: 99%
“…A perforated baffle with thickness e is put forward to be installed inside the distributing manifold. The length of the baffle (L) equals to the length of the distributing manifold (L in ), and the distance S between the perforated baffle and the inlets of parallel channels is an adjustable parameter subject to optimization (Luo et al, 2015b). The baffle is divided into M virtual control groups of identical length (l CG ), also indexed by k from 1 to M, each control group corresponding to a channel.…”
Section: 1mentioning
confidence: 99%
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“…Our ongoing works are focused on the development of evolutionary algorithms (Wang et al, 2010;Luo et al, 2015) for more subtle modifications of the distributor/collector shape, in order to reach uniform flow distribution with small increase of pressure loss. Numerical and experimental investigations on the hydraulic and thermal characteristics of a multi-scale ladder network are also the directions of our future work.…”
Section: Discussionmentioning
confidence: 99%