恒压下的黑体热容量

IF 2.2 3区 物理与天体物理 Q2 MECHANICS
E S Moreira Jr
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引用次数: 0

摘要

乍一看,这部作品的标题似乎并不恰当。原因众所周知。由于黑体压强只取决于温度,因此我们不能在保持其他热力学量不变的情况下,对其中一个热力学量进行导数求导。也就是说,恒压下的热容量 CP 以及热膨胀系数 α 和等温可压缩性 κT 都是定义不清的量。这项研究将表明,当考虑到黑体空腔壁的完美导电性能时,CP、α 和 κT 实际上是定义明确的,而且它们之间的关系正如预期的那样,是由通常的热力学关系决定的。我们将考虑两种几何形状,即球形壳和立方体盒。研究将表明,CP、α 和 κT 在很大程度上取决于空腔的几何形状。还将讨论热力学稳定性问题,揭示它们也取决于空腔的几何形状。研究认为,这些发现可以进行实验验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blackbody heat capacity at constant pressure
At first glance, the title of this work seems to be improper. And the reason is well known. Since blackbody pressure depends only on temperature, one cannot take the derivative of the thermodynamic quantities with respect to one of them, keeping the other constant. That is, the heat capacity at constant pressure, CP, as well as, the coefficient of thermal expansion, α, and the isothermal compressibility, κT, are ill-defined quantities. This work will show that when the perfect conducting nature of the walls of a blackbody cavity is taken into account, CP, α and κT are in fact well defined, and they are related by the usual thermodynamic relations, as expected. Two geometries will be considered, namely, a spherical shell and a cubic box. It will be shown that CP, α and κT depend very much on the geometry of the cavity. Issues regarding thermodynamic stability will be addressed, revealing that they also depend on the cavity’s geometry. It is argued that these findings may be amenable to experimental verification.
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来源期刊
CiteScore
4.50
自引率
12.50%
发文量
210
审稿时长
1.0 months
期刊介绍: JSTAT is targeted to a broad community interested in different aspects of statistical physics, which are roughly defined by the fields represented in the conferences called ''Statistical Physics''. Submissions from experimentalists working on all the topics which have some ''connection to statistical physics are also strongly encouraged. The journal covers different topics which correspond to the following keyword sections. 1. Quantum statistical physics, condensed matter, integrable systems Scientific Directors: Eduardo Fradkin and Giuseppe Mussardo 2. Classical statistical mechanics, equilibrium and non-equilibrium Scientific Directors: David Mukamel, Matteo Marsili and Giuseppe Mussardo 3. Disordered systems, classical and quantum Scientific Directors: Eduardo Fradkin and Riccardo Zecchina 4. Interdisciplinary statistical mechanics Scientific Directors: Matteo Marsili and Riccardo Zecchina 5. Biological modelling and information Scientific Directors: Matteo Marsili, William Bialek and Riccardo Zecchina
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