Performance prediction model of contra-rotating axial flow pump with separate rotational speed of front and rear rotors and its application for energy saving operation

De Zhang, Y. Katayama, S. Watanabe, S. Tsuda, A. Furukawa
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Abstract

Compared with conventional high-specific-speed axial flow pump, better cavitation performance and compact size have been achieved in contra-rotating axial flow pump, where the rear rotor is employed additionally to the front rotor to convert the swirling flow to the pressure rise. Meanwhile, significantly deteriorated performance has also been observed at well off-design flow rates with design rotational speed. The rotational speed control (RSC) of front and rear rotors has been experimentally proved to be effective to enhance the performance. However, thorough investigations are necessary to find the optimum rotational speeds of rotors. It may be done by computational fluid dynamics (CFD) simulations, whereas it is time-consuming to cover the wide ranges of rotational speeds. Therefore, in the present paper, a fast and effective performance prediction model is established by considering radial equilibrium condition, conservation of rothalpy and mass, empirical deviation angle, bladerows interaction and empirical losses. Experimental and CFD results are employed to validate the proposed prediction model. It is found that the proposed model shows good enough accuracy in predicting performances of contra-rotating axial flow pump under RSC in broad flow rate range. Furthermore, an energy saving application of the proposed model is also illustrated for two typical system resistances. Compared with the traditional valve control under the design rotational speed operation, the RSC method can well modify the pump head to satisfy the system resistance at wide flow rate range with the significantly improved energy performance.
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前后转子转速分离的对旋轴流泵性能预测模型及其在节能运行中的应用
与传统的高比转速轴流泵相比,对转轴流泵具有更好的空化性能和紧凑的尺寸,在前转子的基础上增加了后转子,将旋流转化为升压。同时,在设计流速与设计转速相差甚远的情况下,也观察到性能显著恶化。实验证明,前后转子的转速控制(RSC)对提高性能是有效的。然而,为了找到转子的最佳转速,需要进行彻底的调查。它可以通过计算流体动力学(CFD)模拟来完成,而覆盖广泛的转速范围是耗时的。因此,本文通过考虑径向平衡条件、转子和质量守恒、经验偏转角、叶片相互作用和经验损失,建立了一个快速有效的性能预测模型。实验和CFD结果对所提出的预测模型进行了验证。结果表明,该模型在宽流量范围内预测对旋轴流泵在RSC工况下的性能具有足够的精度。此外,还针对两个典型的系统电阻说明了所提出的模型的节能应用。与设计转速运行下的传统阀门控制相比,RSC方法可以很好地修改泵头,以满足宽流量范围内的系统阻力,并显著提高能量性能。
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来源期刊
CiteScore
1.00
自引率
12.50%
发文量
2
期刊介绍: Journal of Fluid Science and Technology (JFST) is an international journal published by the Fluids Engineering Division in the Japan Society of Mechanical Engineers (JSME). JSME had been publishing Bulletin of the JSME (1958-1986) and JSME International Journal (1987-2006) by the continuous volume numbers. Considering the recent circumstances of the academic journals in the field of mechanical engineering, JSME reorganized the journal editorial system. Namely, JSME discontinued former International Journals and projected new publications from the divisions belonging to JSME. The Fluids Engineering Division acted quickly among all divisions and launched the premiere issue of JFST in January 2006. JFST aims at contributing to the development of fluid engineering by publishing superior papers of the scientific and technological studies in this field. The editorial committee will make all efforts for promoting strictly fair and speedy review for submitted articles. All JFST papers will be available for free at the website of J-STAGE (http://www.i-product.biz/jsme/eng/), which is hosted by Japan Science and Technology Agency (JST). Thus papers can be accessed worldwide by lead scientists and engineers. In addition, authors can express their results variedly by high-quality color drawings and pictures. JFST invites the submission of original papers on wide variety of fields related to fluid mechanics and fluid engineering. The topics to be treated should be corresponding to the following keywords of the Fluids Engineering Division of the JSME. Basic keywords include: turbulent flow; multiphase flow; non-Newtonian fluids; functional fluids; quantum and molecular dynamics; wave; acoustics; vibration; free surface flows; cavitation; fluid machinery; computational fluid dynamics (CFD); experimental fluid dynamics (EFD); Bio-fluid.
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