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Based on Full 2nd-Order Polynomial RS, Multi-Objective Genetic Algorithm (MOGA) is applied to optimize the fin structure comprehensively, with enhancing heat transfer, decreasing pressure drop and stress set as objectives.
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The heat transfer decreases with the decrease of L/D.
Through the droop control, the DC voltage is reduced as the power transfer decreases (Fig. 6c).
Heat transfer decreased with the rise of subcooling due to an increased condensate surface coverage ratio.
With increase in eccentricity of the fins, the heat transfer decreases for a fixed fin diameter.
However, the heat transfer decreased after a constant magnetic field was applied.
Following binding of ribose, fluorescence resonance energy transfer decreased with increasing ribose concentration.
On the other hand, heat transfer decreases with thermal slip parameter.
Unlike conventional absorbents, the mass transfer decreases with an increasing liquid temperature when using aqueous PG solution.
In general, the OTR and OUR decrease as the oxygen transfer decreases towards the limited-oxygen transfer conditions, i.e. LimOT.
The microstructure progressively coarsened as the C/W ratio increased, i.e. as the energy flux and momentum transfer decreased.
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