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The optimizations of the triangular assemblies are carried out by taking minimization of maximum thermal resistance as optimization objective.
Although in natural convection mode the cooling system experiences a maximum thermal resistance of approximately 0.6 K/W, the complete passiveness makes such a system very attractive.
The dimensionless maximum thermal resistance (DMTR) of the model is selected as the optimization objective, and its optimal construct is obtained.
Compared with the latter optimal construct, the dimensionless mean thermal resistance corresponding to the former optimal construct decreases by 16.4%, and the corresponding dimensionless maximum thermal resistance increases by 9.74%.
To achieve weight and energy efficiency priorities, this paper presents a multi-objective optimization procedure to design material properties of honeycomb core sandwich panels for minimum weight and maximum thermal resistance within the context of origami-inspired shelters.
It shows that the maximum thermal resistance (MTR) can be minimized by optimizing the ratios of the cavity diameter to the thickness as well as the thickness to the length of the EGTB.
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By comparing different heat sink orientations, it was found that the opening can improve the orientation sensitivity by reducing the maximum difference in thermal resistance from 47.1% to 22.4%.
The effects of channel dimensions, channel wall thickness, bottom thickness and inlet velocity on the pressure drop, thermal resistance and the maximum allowable heat flux are presented.
Besides, compared to the theoretical results, the maximum relative error in the borehole thermal resistance for the conventional arithmetic mean temperature method is as high as 40.69%.
The validation results for the road with embedded pipes showed that the maximum relative error associated with the thermal resistance between the pipes and surface is less than 1% between the numerical model and the analytical solution.
The results showed that the thermal resistance and ratio of maximum and minimum temperature difference for bottom wall of microchannel as well as the ratio of thermal resistance decrease by increasing the nanoparticles volume fraction and decrement of λ.
More suggestions(15)
maximum thermal performance
maximum thermal efficiency
maximum thermal stability
maximum thermal power
maximum thermal comfort
maximum thermal conductance
maximum thermal energy
maximum thermal degradation
maximum thermal gradient
maximum thermal acceptability
maximum thermal stress
maximum thermal load
maximum thermal flux
maximum heat resistance
greater thermal resistance
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Justyna Jupowicz-Kozak
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