Analogizing with the heat conduction process, the entransy dissipation extremum principle for thermal insulation process can be described as: for a fixed boundary heat flux (heat loss) with certain constraints, the th...Analogizing with the heat conduction process, the entransy dissipation extremum principle for thermal insulation process can be described as: for a fixed boundary heat flux (heat loss) with certain constraints, the thermal insulation process is optimized when the entransy dissipation is maximized (maximum average temperature difference), while for a fixed boundary temperature, the thermal insulation process is optimized when the entransy dissipation is minimized (minimum average heat loss rate). Based on the constructal theory, the constructal optimizations of a single plane and cylindrical insulation layers as well as multi-layer insulation layers of the steel rolling reheating furnace walls are carried out for the fixed boundary temperatures and by taking the minimization of entransy dissipation rate as optimization objective. The optimal constructs of these three kinds of insulation structures with distributed thicknesses are obtained. The results show that compared with the insulation layers with uniform thicknesses and the optimal constructs of the insulation layers obtained by minimum heat loss rate, the optimal constructs of the insulation layers obtained by minimum entransy dissipation rate are obviously different from those of the former two insulation layers; the optimal constructs of the insulation layers obtained by minimum entransy dissipation rate can effectively reduce the average heat loss rates of the insulation layers, and can help to improve their global thermal insulation performances. The entransy dissipation extremum principle is applied to the constructal optimizations of insulation systems, which will help to extend the application range of the entransy dissipation extremum principle.展开更多
Silicon-based planar neuroprobes are composed of silicon substrate,conducting layer,and insulation layers of SiO 2 or SiN membrane.The insulation layer is very important because it affects many key parameters of neupr...Silicon-based planar neuroprobes are composed of silicon substrate,conducting layer,and insulation layers of SiO 2 or SiN membrane.The insulation layer is very important because it affects many key parameters of neuprobes,like impedance,SNR(signal noise ratio),reliability,etc.Monolayer membrane of SiO 2 or SiN are not good choices for insulation layer,since defects and residual stress in these layers can induce bad passivation.In this paper a composite insulation structure is studied,with thermal SiO 2 as the lower insulation layer and with multilayer membrane composed of PECVD SiO 2 and SiN as the upper insulation layer.This structure not only solves the problem of residual stress but also ensures a good probe passivation.So it's a good choice for insulation layer of neuroprobes.展开更多
基金supported by the National Key Basic Research and Development Program of China (‘973’ Program) (Grant No. 2012CB720405)the National Natural Science Foundation of China (Grant No. 51176203)the Natural Science Foundation for Youngsters of Naval University of Engineering (Grant No. HGDQNJJ11008)
文摘Analogizing with the heat conduction process, the entransy dissipation extremum principle for thermal insulation process can be described as: for a fixed boundary heat flux (heat loss) with certain constraints, the thermal insulation process is optimized when the entransy dissipation is maximized (maximum average temperature difference), while for a fixed boundary temperature, the thermal insulation process is optimized when the entransy dissipation is minimized (minimum average heat loss rate). Based on the constructal theory, the constructal optimizations of a single plane and cylindrical insulation layers as well as multi-layer insulation layers of the steel rolling reheating furnace walls are carried out for the fixed boundary temperatures and by taking the minimization of entransy dissipation rate as optimization objective. The optimal constructs of these three kinds of insulation structures with distributed thicknesses are obtained. The results show that compared with the insulation layers with uniform thicknesses and the optimal constructs of the insulation layers obtained by minimum heat loss rate, the optimal constructs of the insulation layers obtained by minimum entransy dissipation rate are obviously different from those of the former two insulation layers; the optimal constructs of the insulation layers obtained by minimum entransy dissipation rate can effectively reduce the average heat loss rates of the insulation layers, and can help to improve their global thermal insulation performances. The entransy dissipation extremum principle is applied to the constructal optimizations of insulation systems, which will help to extend the application range of the entransy dissipation extremum principle.
文摘Silicon-based planar neuroprobes are composed of silicon substrate,conducting layer,and insulation layers of SiO 2 or SiN membrane.The insulation layer is very important because it affects many key parameters of neuprobes,like impedance,SNR(signal noise ratio),reliability,etc.Monolayer membrane of SiO 2 or SiN are not good choices for insulation layer,since defects and residual stress in these layers can induce bad passivation.In this paper a composite insulation structure is studied,with thermal SiO 2 as the lower insulation layer and with multilayer membrane composed of PECVD SiO 2 and SiN as the upper insulation layer.This structure not only solves the problem of residual stress but also ensures a good probe passivation.So it's a good choice for insulation layer of neuroprobes.
