ULE玻璃中氦气放气的边缘效应

IF 1.3 4区 材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY
Isuf Tredhaku, S. Avdiaj
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引用次数: 0

摘要

可以通过不同的方式来确定特定情况下的扩散常数。其中之一是通过在高真空下从固体中释放一些气体。本文利用三块不同尺寸ULE玻璃板的氦气放气速率实验数据,确定了氦气从ULE(超低膨胀)玻璃中的扩散常数。ULE玻璃是可能用于量子帕斯卡项目的候选玻璃之一。通常,扩散常数是通过忽略板厚度的数学模型来确定的。本文建立了ULE玻璃除氦的数学模型,同时考虑了板的厚度。确定了扩散系数D的最佳值,使得放气的数学模型将以尽可能好的方式拟合实验数据。D的最佳值是基于最小二乘法的拟合来计算的。将以这种方式获得的值与将板视为无限薄表面的先前模型所取的值进行比较。因此,确定了这些值之间的差异,即ULE玻璃对氦气放气的边缘效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Edge effect on helium outgassing from ULE glass
Determination of the diffusion constant for specific cases can be achieved in different ways. One of them is by using the outgassing of some gas in high vacuum from a solid body. In this paper, the diffusion constant of helium from ULE (ultra-low expansion) glass is determined by using experimental data for outgassing rate of helium from three ULE glass plates with different dimensions. ULE glasses are one of the candidates which may be used in the project for quantum pascal. Usually, the diffusion constant is found by mathematical models which neglect the thickness of the plate. In this paper, a mathematical model for the outgassing of the helium by ULE glass is constructed, taking into account also the thickness of the plates. Optimum values for diffusion coefficient D are determined, such that the mathematical model for outgassing will fit in the best way possible the experimental data. Optimum values for D are calculated based on the fitting by the method of least squares. Values obtained in this manner are compared with the values taken by the previous models which considers plates as infinitely thin surfaces. Thus, the difference between these values, namely the edge effect on the outgassing of helium by ULE glass, is determined.
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来源期刊
Emerging Materials Research
Emerging Materials Research MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
4.50
自引率
9.10%
发文量
62
期刊介绍: Materials Research is constantly evolving and correlations between process, structure, properties and performance which are application specific require expert understanding at the macro-, micro- and nano-scale. The ability to intelligently manipulate material properties and tailor them for desired applications is of constant interest and challenge within universities, national labs and industry.
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