双螺杆制冷压缩机工作过程的数值模拟

doi:10.3901/JME.2019.24.197

机械工程学报 ›› 2019, Vol. 55 ›› Issue (24): 197-202.doi: 10.3901/JME.2019.24.197

• 可再生能源与工程热物理 • 上一篇下一篇

双螺杆制冷压缩机工作过程的数值模拟

黄浩^1,2, 吴华根¹, 应雯¹, 张倍毓¹, 林侃隆¹, 熊保顺¹

1. 西安交通大学能源与动力工程学院西安 710049;
2. 压缩机技术国家重点实验室合肥 230001

收稿日期:2019-04-01 修回日期:2019-09-30 出版日期:2020-12-20 发布日期:2020-02-18
通讯作者: 黄浩(通信作者),男,1993年出生。主要研究方向为双螺杆压缩机、膨胀机的数值模拟。E-mail:xjhuanghao@stu.xjtu.edu.cn
基金资助:
国家自然科学基金（50806055）和压缩机技术国家重点实验室s（压缩机技术安徽省实验室）开放基金（SKL-YSJ201805）资助项目。

Research on Characteristics of Twin-screw Refrigeration Compressor

HUANG Hao^1,2, WU Huagen¹, YING Wen¹, ZHANG Beiyu¹, LIN Kanlong¹, XIONG Baoshun¹

1. School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049;
2. State Key Laboratory of Compressor Technology, Hefei 230001

Received:2019-04-01 Revised:2019-09-30 Online:2020-12-20 Published:2020-02-18

摘要/Abstract

摘要： 双螺杆制冷压缩机由于其独特的优势已被广泛应用，但由于其复杂的转子结构及型线设计，对该类压缩机的整体性能的预测一般采用一维数值模拟或经验方式得到，但是该类方法无法获得压缩机内部流体压力场和温度场的分布情况。根据试验用螺杆压缩机建立了三维模型，利用结构化动网格技术，通过CFD软件对双螺杆压缩机的内部流场进行了三维数值模拟，分析了流体在压缩机内部的流动及热力学参数分布状况，得到了压缩机内部压力场、温度场和速度场的分布规律。将三维数值模拟得到的P-V指示图及压缩机宏观性能参数与试验结果进行对比分析，发现模拟结果与试验数据基本一致，部分负荷时误差较大，误差最大的是绝热效率，为2.58%。数值模拟能够准确预测双螺杆压缩机的性能，并为压缩机设计提供了新的方法。

关键词: 双螺杆制冷压缩机, CFD, 数值模拟, 热力学性能, P-V图

Abstract: Twin-screw refrigeration compressors have been widely used due to their unique advantages, but owing to their complex rotor structure and profile design. The performance of twin-screw refrigeration compressors is generally predicted by one-dimensional numerical simulation or empirical methods, but this kind of method cannot obtain the distribution of the fluid pressure field and temperature field inside the compressor. A three-dimensional model is established based on the experimental screw compressor. The internal flow field of the twin-screw compressor is simulated by CFD software using the structured dynamic grid technology. The flow and thermodynamic parameters of the fluid inside the compressor are analyzed. The distribution of the internal pressure field, temperature field and velocity field of the compressor is obtained. Comparing the P-V indicator diagram and the macroscopic performance parameters of the compressor obtained by three-dimensional numerical simulation with the experimental results, it is found that the simulation results are basically consistent with the experimental data. The error is large at part load, and the maximum error is the adiabatic efficiency, which is 2.58%. Numerical simulation can accurately predict the performance of twin-screw compressor and provide a new method for compressor design.

Key words: twin-screw refrigeration compressor, CFD, numerical simulation, thermodynamic performance, P-V diagram

中图分类号:

TH455

黄浩, 吴华根, 应雯, 张倍毓, 林侃隆, 熊保顺. 双螺杆制冷压缩机工作过程的数值模拟[J]. 机械工程学报, 2019, 55(24): 197-202.

HUANG Hao, WU Huagen, YING Wen, ZHANG Beiyu, LIN Kanlong, XIONG Baoshun. Research on Characteristics of Twin-screw Refrigeration Compressor[J]. Journal of Mechanical Engineering, 2019, 55(24): 197-202.

参考文献

[1] HAUSER J, BRÜMMER A. Geometrical abstraction of screw compressors for thermodynamic optimization[J]. ARCHIVE Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, 2011, 225(6):1399-1406.
[2] WU X, XING Z, HE Z, et al. Effects of lubricating oil on the performance of a semi-hermetic twin screw refrigeration compressor[J]. Applied Thermal Engineering, 2017, 112:340-351.
[3] HOU F, ZHAO Z, YU Z, et al. Experimental study of the axial force on the rotors in a twin-screw refrigeration compressor[J]. International Journal of Refrigeration, 2017, 75:155-163.
[4] GIUFFRIDA A. A semi-empirical method for assessing the performance of an open-drive screw refrigeration compressor[J]. Applied Thermal Engineering, 2016, 93:813-823.
[5] WU Huage, XING Ziwen, SHU Pengcheng. Theoretical and experimental study on indicator diagram of twin screw refrigeration compressor[J]. International Journal of Refrigeration, 2004, 27(4):331-338.
[6] KOVACEVIC A. Boundary adaptation in grid generation for CFD analysis of screw compressors[J]. International Journal for Numerical Methods in Engineering, 2005, 64(3):401-426.
[7] KOVACEVIC A, STOSIC N, SMITH I. Grid generation of screw machine geometry[M]. Berlin:Springer Berlin Heidelberg, 2007.
[8] RANE S, KOVACEVIC A. Algebraic generation of single domain computational grid for twin screw machines. Part I. Implementation[J]. Advances in Engineering Software, 2017, 107:38-50.
[9] RANE S, KOVACEVIC A. Application of numerical grid generation for improved CFD analysis of multiphase screw machines[C]//IOP Conference Series Materials Science and Engineering, IOP Publishing Ltd, September 11-13, 2017, City University of London, London:2017:232.
[10] WILLIE J. Use of CFD to predict trapped gas excitation as source of vibration and noise in screw compressors[C]//IOP Conference Series Materials Science and Engineering,IOP Publishing Ltd,September 11-13,2017, City University of London, London:2017:232.
[11] RANE S, KOVACEVIC A, STOSIC N, et al. Deforming grid generation and CFD analysis of variable geometry screw compressors[J]. Computers & Fluids, 2014, 99:124-141.
[12] DING H, JIANG Y. CFD simulation of a screw compressor with oil injection[C]//IOP Conference Series Materials Science and Engineering, IOP Publishing Ltd, September 11-13, 2017, City University of London, London:2017:232.
[13] KIM Y J, BYEON S S, LEE J Y. Numerical analysis on the flow characteristics of oil-injected screw air compressor[C]//2014 ISFMFE-6th International Symposium on Fluid Machinery and Fluid Engineering. IET Digital Library, October 22-25, 2014, Wuhan, China. IET, 2014.
[14] ARJENEH M, KOVACEVIC A, RANE S, et al. Numerical and experimental investigation of pressure losses at suction of a twin screw compressor[C]//IOP Conference Series Materials Science and Engineering, IOP Publishing Ltd, September 7-9, 2015, London:2015:90.
[15] BYEON S S, LEE J Y, KIM Y J. Performance characteristics of a 4×6 oil-free twin-screw compressor[J]. Energies, 2017, 10(7):945.

双螺杆制冷压缩机工作过程的数值模拟

Research on Characteristics of Twin-screw Refrigeration Compressor

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