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Novel signal processing approaches for characterization of transient two-phase gas-liquid flow.

机译:表征瞬态两相气液流动的新型信号处理方法。

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The flow pattern generated in pipes for two-phase gas-liquid horizontal flows can significantly affect the efficiency of chemical process equipment. Since the early 1900's, scientists and engineers have investigated various methods for characterizing the flow patterns generated for various two-phase chemical systems. A notable effort was made by Baker to quantify physical fluid properties and correlate them to observed flow patterns in pipe flow.; The primary objective of this research was to develop a flow pattern recognition system, for industrial implementation, that is suitable for characterizing transient two-phase flow patterns. Since the advent of computer and system control equipment, researchers have focused on quantifying flow characteristics by analyzing pressure fluctuation because the natural tendency of multiphase flow is to pulse as the fluid phases mix while moving along the pipe length.; Recent developments in digital signal processing provide new methods for characterizing transient signals. A novel approach using wavelet transform analysis to study pressure fluctuations in two-phase flow systems has been developed in this research. Experimental development includes the design of a baseline system and a flow pattern recognition system. (Abstract shortened by UMI.)
机译:两相气液水平流的管道中产生的流型会严重影响化学处理设备的效率。自1900年代初以来,科学家和工程师研究了各种方法来表征为各种两相化学系统生成的流动模式。贝克做出了显着的努力来量化物理流体特性,并将其与所观察到的管道流动模式相关联。这项研究的主要目的是为工业应用开发一种流模式识别系统,该系统适用于表征瞬态两相流模式。自从计算机和系统控制设备问世以来,研究人员一直致力于通过分析压力波动来量化流量特性,因为多相流的自然趋势是随着流体相的混合在沿管道长度方向移动时产生脉动。数字信号处理的最新发展提供了表征瞬态信号的新方法。本研究开发了一种使用小波变换分析研究两相流系统中压力波动的新方法。实验开发包括基线系统和流模式识别系统的设计。 (摘要由UMI缩短。)

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