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arXiv 1504.02183cond-mat.stat-mechcond-mat.quant-gasquant-ph
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量子统计与发动机循环性能

Quantum statistics and the performance of engine cycles

Yuanjian Zheng, Dario Poletti

摘要:

我们研究了量子统计在奥托循环中的作用。首先,我们分析表明,玻色子和费米子工作流体的工作分布是相同的谐波捕获势驱动的周期。随后,在非简谐势的情况下,我们发现不同的能级间距和粒子统计之间的相互作用强烈地影响发动机循环的性能。为了证明这一点,我们研究了三个陷阱的潜力,诱导不同的(单粒子)能级间距:单调减少的水平数,单调增加,和的情况下,在其中的水平间距不单调变化。

英文摘要:

We study the role of quantum statistics in the performance of Otto cycles. First, we show analytically that the work distributions for bosonic and fermionic working fluids are identical for cycles driven by harmonic trapping potentials. Subsequently, in the case of non-harmonic potentials, we find that the interplay between different energy level spacings and particle statistics strongly affects the performances of the engine cycle. To demonstrate this, we examine three trapping potentials which induce different (single particle) energy level spacings: monotonically decreasing with the level number, monotonically increasing, and the case in which the level spacing does not vary monotonically.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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