Performance analysis of a linear compressor in a cryocooler
Performance analysis of a linear compressor in a cryocooler
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制冷机中线性压缩机的性能分析
DOI：
10.1016/j.applthermaleng.2018.06.017
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发表时间：
2018-08
影响因子：
6.4
通讯作者：
Jianjun Wang
中科院分区：
文献类型：
--
作者：
Xiaokuan You;Limin Qiu;Xiaoqin Zhi;Chaoxiang Duan;Xijun Tao;Jianjun Wang
直线压缩机广泛用于驱动斯特林型制冷机。它提供的声功率直接影响制冷机的性能。然而，由于线性压缩机的压力和速度之间的相位角很难测量，因此很难确定线性压缩机的输出声功率。在研究中，提出了一种方法来校准相位角。基于校准估计压缩机的声功率。分析了直线压缩机的能量分配和效率。对直线压缩机进行了理论分析和实验研究。结果表明，标定后的相位角精度是可以接受的。通过校准相位角计算的总功率与测量的输入功率相比，偏差小于10%。在后腔容积仅比压缩容积高几倍的大型线性压缩机中，不可能忽略后腔容积中的损失，因为它可以对应于总输入功率的19%。声功率的估算有助于揭示压缩机的性能，从而设计出相对高效的制冷机。
A linear compressor is widely used to drive Stirling-type cryocoolers. The acoustic power it provides directly affects the performance of a cryocooler. However, it is hard to determine the output acoustic power of a linear compressor since it is difficult to measure the phase angle between the pressure and velocity. In the study, a method is proposed to calibrate the phase angle. The acoustic power of the compressor is estimated based on the calibration. The energy distribution and efficiency of the linear compressor are also analyzed. Theoretical analyses and experiments on a linear compressor are conducted. The results show that the accuracy of the calibrated phase angle is acceptable. The total power calculated by the calibrated phase angle when compared with the measured input power exhibits a deviation of less than 10%. In large scale linear compressors where the back volume is only several times higher than the compression volume, it is not possible to ignore the loss in the back volume since it can correspond to 19% of the total input power. The estimation of the acoustic power is helpful to reveal the performance of the compressor and then design a relative high efficiency cryocooler.
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DOI：
10.1016/j.ijrefrig.2015.12.019
发表时间：
2016-09
期刊：
International Journal of Refrigeration-revue Internationale Du Froid
影响因子：
--
作者：
H. Dang;Lei Zhang;J. Tan
通讯作者：
H. Dang;Lei Zhang;J. Tan
影响因子：
2.1
作者：
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通讯作者：
V. Bhojwani;A. Inamdar;M. Lele;M. Tendolkar;M. Atrey;S. Bapat;K. Narayankhedkar
DOI：
--
发表时间：
2012-07
期刊：
--
影响因子：
--
作者：
R. Radebaugh;M. Lewis;P. Bradley
通讯作者：
R. Radebaugh;M. Lewis;P. Bradley
影响因子：
10.4
作者：
Kai Wang;L. Qiu
通讯作者：
Kai Wang;L. Qiu
影响因子：
2.1
作者：
H. Dang
通讯作者：
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