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Investigation of Speed Matching Affecting Contrarotating Fan's Performance Using Wireless Sensor Network including Big Data and Numerical Simulation

机译:用大数据和数值模拟,对速度匹配影响逆变风扇性能的速度匹配

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摘要

This paper describes the investigations performed to better understand two-stage rotor speed matching in a contrarotating fan. In addition, this study develops a comprehensive measuring and communication system for a contrarotating fan using ZigBee network. The investigation method is based on three-dimensional RANS simulations; the RANS equations are solved by the numerical method in conjunction with a SST turbulence model. A wireless measurement system using big data method is first designed, and then a comparison is done with experimental measurements to outline the capacity of the numerical method. The results show that when contrarotating fan worked under designed speed, performance of two-stages rotors could not be matched as the designed working condition was deviated. Rotor 1 had huge influences on flow rate characteristics of a contrarotating fan. Rotor 2 was influenced by flow rates significantly. Under large flow rate condition, the power capability of rotor 2 became very weak; under working small flow rate condition, overloading would take place to class II motor. In order to solve the performance mismatch between two stages of CRF under nondesigned working conditions, under small flow rate condition, the priority shall be given to increase of the speed of rotor 1, while the speed of rotor 2 shall be reduced appropriately; under large flow rate condition, the speed of rotor 1 shall be reduced and the speed of rotor 2 shall be increased at the same time.
机译:本文介绍了以更好地理解在遏制风扇中的两级转子速率匹配的研究。此外,本研究制定了使用ZigBee网络的迂回风扇的全面测量和通信系统。调查方法基于三维RAN模拟; RAN方程通过与SST湍流模型结合的数值方法解决。首先设计使用大数据方法的无线测量系统,然后使用实验测量进行比较以概述数值方法的容量。结果表明,当妨碍风扇在设计速度下工作时,由于设计的工作条件偏离了设计的工作状态,两级转子的性能不能匹配。转子1对逆变风扇的流量特性具有巨大影响。转子2受到流速的影响。在大的流量条件下,转子2的功率能力变得非常弱;在工作小的流量条件下,重载将达到II级电机。为了在非书目的工作条件下解决CRF的两个阶段之间的性能不匹配,在小的流量条件下,应优先考虑转子1的速度增加,而转子2的速度应适当地减小;在大的流速条件下,应减小转子1的速度,并且转子2的速度应同时增加。

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  • 来源
    《Complexity》 |2018年第2期|共12页
  • 作者单位

    Shandong Univ Sci &

    Technol Dept Mech &

    Elect Engn Tai An Shandong Peoples R China;

    Shandong Univ Sci &

    Technol Coll Geomat Qingdao Peoples R China;

    Shandong Univ Sci &

    Technol Dept Mech &

    Elect Engn Tai An Shandong Peoples R China;

    Shandong Univ Sci &

    Technol Coll Geomat Qingdao Peoples R China;

    Shandong Univ Sci &

    Technol Dept Mech &

    Elect Engn Tai An Shandong Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大系统理论;
  • 关键词

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