| 万 倪,钱相臣,闫 勇.多相流互相关测速算法综述[J].电子测量与仪器学报,2022,36(5):1-11 |
| 多相流互相关测速算法综述 |
| Review of cross-correlation velocimetry algorithms formultiphase flow measurement |
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| DOI： |
| 中文关键词: 互相关算法 多相流 流速测量 算法优化 |
| 英文关键词:cross-correlation multiphase flow velocimetry algorithm optimization |
| 基金项目:国家自然科学基金（51827808）、中央高校基本科研业务费专项资金（2019MS023）项目资助 |
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| 中文摘要: |
| 多相流广泛存在于现代工业生产中,其流速测量是保障生产过程安全及改善生产工艺质量和效率的关键。 互相关技术
是多相流流速测量的主要手段之一,但由于工业多相流流动状态的复杂性,经典的互相关算法难以满足测量的实时性和准确性
的需求,在应用时有一定的局限性。 本文综述了近年来运用互相关算法测量多相流流速的研究进展,并从提升算法精度和计算
速度两方面对已有的改进方法进行了阐述和对比分析。 评估结果表明,自适应互相关方法和频域相关方法均能在计算量较低
的情况下获得准确度较高的结果,其中频域方法能够得到最稳定的速度测量结果。 基于互相关算法的研究进展,本文还对可能
的研究方向进行了讨论,为多相流互相关测速技术的发展提供借鉴。 |
| 英文摘要: |
| Multiphase flows widely exist in modern industries. The velocity measurement of multiphase flow is the key to ensure safety as
well as improve the quality and efficiency of the production processes. Cross-correlation velocimetry is one of the main methods for the
velocity measurement of multiphase flows. However, the classical cross-correlation algorithm is difficult to meet the demand of real-time
and accuracy due to the complexity of industrial multiphase flows and thus has some limitations in application. In this paper, recent
progress of the method is reviewed and the improvements that have been made to the method are elaborated and analyzed in terms of
calculation efficiency and accuracy. Evaluation results show that both the adaptive cross-correlation method and the frequency domain
method can obtain accurate results with less computational effort. Besides, the frequency domain method can also obtain the most stable
measurement results. Based on the state-of-the-art cross-correlation velocimetry, possible future research is discussed for further
development of the method. |
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