2022
DOI: 10.3390/en15041430
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Optimization of Heat Exchange Plate Geometry by Modeling Physical Processes Using CAD

Abstract: This article presents the possibility of evaluating the efficiency of the heat exchange element with a special stamping plate, which is based on the results of computer simulation. The method is based on a comparative analysis of convective heat transfer models implemented in ANSYS using a k-ε turbulence model. To conduct the study, 3D models of three different types of cavity geometry formed between two heat exchange plates (flat plate, chevron plate, and plate with conical stampings) were built. Simulation w… Show more

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Cited by 12 publications
(3 citation statements)
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References 31 publications
(32 reference statements)
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“…This enables detailed specification of geometry aspects within partial cells, such as solid edges. The Grid Setup Options that are applied follow [24][25][26]. The division into finite elements is performed by the "Mesh" operation, the quality of the mesh is "medium", and the basic element is tetrahedron with the size 2.8 × 10 −5 m. When constructing a grid, the function is included «Use Adaptive Sizing» setting the parameter «Resolution» equal to 6.…”
Section: Materials and Methods For Computer Simulationmentioning
confidence: 99%
“…This enables detailed specification of geometry aspects within partial cells, such as solid edges. The Grid Setup Options that are applied follow [24][25][26]. The division into finite elements is performed by the "Mesh" operation, the quality of the mesh is "medium", and the basic element is tetrahedron with the size 2.8 × 10 −5 m. When constructing a grid, the function is included «Use Adaptive Sizing» setting the parameter «Resolution» equal to 6.…”
Section: Materials and Methods For Computer Simulationmentioning
confidence: 99%
“…I. Korobiichuk et al (2022) investigated that in the channel formed by plates, the maximum speed w = 1.127 m/s [15].…”
Section: Introductionmentioning
confidence: 99%
“…[16,17]. This can not only improve the efficiency of classifier, but also save computational resources [18][19][20].…”
Section: Introductionmentioning
confidence: 99%