Study on the output pressure amplitudes of the linear compressor based on the complex vector analysis method
Study on the output pressure amplitudes of the linear compressor based on the complex vector analysis method
复制标题
基于复矢量分析方法的线性压缩机输出压力幅值研究
DOI:
10.1016/j.ijrefrig.2019.07.013
复制
发表时间:
2019-11
影响因子:
3.9
通讯作者:
Qiu Limin
中科院分区:
文献类型:
--
作者:
Zhi Xiaoqin;Cao Rongfei;Jiang Xiao;You Xiaokuan;Qiu Limin
The advent of high-performance linear compressor has promoted the rapid development of Stirling type cryocoolers due to its advantages of low vibration, long life and compactness. At present, most of the studies on the usage of the linear compressor are focus on the high efficiency and output acoustic power (pV power) for the cold head. However, besides the above two parameters, the high-performance operation of the cold head also requires enough input pressure amplitude, which can be defined as the quality of the required power. In this study, the output pressure amplitudes of the linear compressor were graphically investigated with the help of the complex vector method. Compared to harmonic oscillation analysis, the complex vector diagram of the piston stress and velocity can provide an easier understanding for analyzing the pressure amplitude output characteristics of the compressor. Equations for estimating the output maximum pressure amplitude and the pressure amplitude under the maximum pV power of a linear compressor were deduced based on the vector diagram, which can be used for the design and selection of linear compressors. Experiments were done to verify the theoretical analysis. Influences of different operating and structure parameters on the output pressure amplitudes of the linear compressor were calculated and compared. It shows that the frequency and piston area are the optimal parameters for improving the output pressure amplitudes, which also benefits the compactness of the compressor.
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影响因子:
2.1
作者:
H. Dang;J. Tan;Lei Zhang
通讯作者:
H. Dang;J. Tan;Lei Zhang
影响因子:
2.1
作者:
Liubiao Chen;Xianlin Wu;Jue Wang;Xuming Liu;C. Pan;Hai Jin;W. Cui;Yuan Zhou;Junjie Wang
通讯作者:
Liubiao Chen;Xianlin Wu;Jue Wang;Xuming Liu;C. Pan;Hai Jin;W. Cui;Yuan Zhou;Junjie Wang
DOI:
10.1007/0-306-47919-2_20
发表时间:
2003
期刊:
--
影响因子:
--
作者:
K. Wilson;D. Gedeon
通讯作者:
K. Wilson;D. Gedeon
DOI:
10.1007/978-1-4615-5869-9_49
发表时间:
1997
期刊:
--
影响因子:
--
作者:
M. Heun;S. Collins;D. Johnson;R. Ross
通讯作者:
M. Heun;S. Collins;D. Johnson;R. Ross
影响因子:
6.4
作者:
Xiaokuan You;Limin Qiu;Xiaoqin Zhi;Chaoxiang Duan;Xijun Tao;Jianjun Wang
通讯作者:
Jianjun Wang