Nanofocus diamond X-ray windows: Thermal modeling of nano-sized heat source systems

被引:7
|
作者
Delfaure, Colin [1 ]
Mazellier, Jean Paul [2 ]
Tranchant, Nicolas [1 ]
Bergonzo, Philippe [1 ]
Ponard, Pascal [3 ]
Saada, Samuel [1 ]
机构
[1] CEA, LIST, Diamond Sensors Lab, F-91191 Gif Sur Yvette, France
[2] Thales Res & Technol, F-91767 Palaiseau, France
[3] Thales Electron Devices, F-74202 Thonon Les Bains, France
关键词
Thermal model; Diamond window; Nanofocus; Microfocus; X-ray tube; Thermal management; CONDUCTIVITY; INTERFACES;
D O I
10.1016/j.diamond.2015.09.015
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
An analytical thermal model is proposed to study heat transfers occurring at high power density in X-ray tubes with micron to submicron sized source. The use of a simple analytical approach instead of a complex numerical simulation allows readily modeling of more and more challenging systems such as multi-source X-ray tubes. By significantly reducing the computing time, it enables a wider parameter range evaluation for engineering phase. We focused our work on tubes integrating a transmission window that is mainly edge-cooled. Our approach can be generally used in cylindrical lateral heat spreaders with distributed small sized source systems. The model enables an efficient estimation of temperature distributions for a large range of parameters and source designs and is, for instance, well-suited to described nanosized heat source systems. It is developed from an electrostatic analogy with the point charge particle model and uses of a series of virtual sources. A multiscale resolution of the heat equation is proposed, hence providing the temperature distribution at any point within the whole system. Moreover, the non-linearity of equations caused by temperature-dependent thermal conductivities is solved by using Kirchhoff's transformation, giving a more realistic approach of heat conduction in diamond X-ray windows, where temperature in excess of 1000 degrees C can be encountered. The influence of convective and radiative transfers has been discussed and the physical accuracy of the predicted temperature is controlled by adjusting the number of virtual sources of the model. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:104 / 115
页数:12
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