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引用次数: 0
摘要
压缩机的性能和稳定的工作范围对各种透平机械系统的高效运行至关重要。本文提出了结合单均匀直接自由变形法、Linux 分区 CPU 加速并行计算技术、多目标粒子群优化算法和下坡单纯形算法的多层次优化策略,提高了设计效率。数值结果表明,经过优化设计后,峰值效率和失速裕度的平均值都有所提高。优化后压缩机性能改善的流动机制在于定子轮毂区域低速分离区的减少。此外,实验研究证实了优化设计方法的可靠性和准确性,并发现优化设计后流动不稳定的触发模式、失速单元的传播特性和浪涌频率都发生了变化。设置自相关系数和交叉相关系数的概率分布阈值可用于预测浪涌条件的到来。
Aerodynamic optimization design and experimental verification of a high-load axial flow compressor
The performance and stable operating range of compressors are critical to the efficient operation of various turbomachinery systems. This paper proposes a multi-level optimization strategy combining the uni-uniform direct free deformation method, Linux partitioned CPU accelerated parallel computing technology, multi-objective particle swarm optimization algorithm and downhill simplex algorithm, which improves design efficiency. Numerical results show that after optimization design, the average value of peak efficiency and stall margin increases. The flow mechanism of compressor performance improvement after optimization lies in the reduction of a low-velocity separation zone in stator hub region. Moreover, the experiment study confirms the reliability and accuracy of the optimization design method and found that flow instability triggering mode, propagation characteristics of the stall cell, and surge frequency are changed after optimization design. Setting a probability distribution threshold for autocorrelation coefficient and cross-correlation coefficients can be used to predict the arrival of the surge condition.
期刊介绍:
Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to:
• The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites
• The control of their environment
• The study of various systems they are involved in, as supports or as targets.
Authors are invited to submit papers on new advances in the following topics to aerospace applications:
• Fluid dynamics
• Energetics and propulsion
• Materials and structures
• Flight mechanics
• Navigation, guidance and control
• Acoustics
• Optics
• Electromagnetism and radar
• Signal and image processing
• Information processing
• Data fusion
• Decision aid
• Human behaviour
• Robotics and intelligent systems
• Complex system engineering.
Etc.