后向散射法测量蒸汽湿度中理论计算模型的优化
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摘要
基于Mie散射理论和Lambert-beer定律,利用CCD相机接收湿蒸汽水滴微粒的散射光强,建立了蒸汽湿度测量系统。对于该系统的理论计算模型,分别采用对数正态分布(LN分布)和Rosin-Rammler分布(R-R分布)来描述模拟器缸汽中的水雾粒径分布,对散射光强进行仿真计算,将得到的仿真结果同实验数据进行对比分析。结果表明:后向散射法测量蒸汽湿度中,采用对数正态分布(LN分布)建立的理论计算模型更合适。
In this paper,based on Mie scattering theory and Lambert-beer law,a steam humidity measurement system is established by using CCD camera to receive the scattered light intensity of particles of wet steam droplets. The theoretical calculation models of this system are respectively using LN distribution and( R-R) distribution to describe the particle size distribution of water mist in the simulator cylinder steam. The scattering light intensity is calculated by simulation,and the simulation results are compared with the experimental data. The results show that the theoretical calculation model based on lognormal distribution( LN) is more suitable for steam humidity measurement by backscattering method.
In this paper,based on Mie scattering theory and Lambert-beer law,a steam humidity measurement system is established by using CCD camera to receive the scattered light intensity of particles of wet steam droplets. The theoretical calculation models of this system are respectively using LN distribution and( R-R) distribution to describe the particle size distribution of water mist in the simulator cylinder steam. The scattering light intensity is calculated by simulation,and the simulation results are compared with the experimental data. The results show that the theoretical calculation model based on lognormal distribution( LN) is more suitable for steam humidity measurement by backscattering method.
引文
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[9]YAN Zhengang.Statistics law of light scattering signals and its application in particles counting[D].Nanjing:Nanjing University of Science&Technology,2013.17-18.(in Chinese)闫振刚.光散射信号统计规律及在尘埃粒子计数中的应用[D].南京:南京理工大学,2013.17-28.
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[2]STARZMANN J,SCHATZ M,CASEY M V,et al.Modelling and validation of wet steam flow in a low pressure steam turbine[C]//ASME 2011 Turbo Expo:Turbine Technical Conference and Exposition.British Columbia,Canada:International Gas Turbine Institute,2011.
[3]JIAO Ye,HUANG Zhuqing,CAO Xiaoling,et al.Simulation study on steam moisture measurement based on the method of optical back-scattering[J].Laser technology,2013,37(3):310-313.(in Chinese)焦烨,黄竹青,曹小玲等.基于激光后向散射测量蒸汽湿度的仿真研究[J].激光技术,2013,37(3):310-313.
[4]HUANG Zhuqing.Investigation of moisture steam characteristic measurement methods in steam turbine based on light scattering[D].Changsha:National University of Defense Technology,2010.(in Chinese)黄竹青.基于光散射的汽轮机湿蒸汽特性测量方法研究[D].长沙:国防科学技术大学,2010.
[5]Thhomas Wriedt.Light scattering theories and computer codes[J].Quant Spectorsc Radiat Transfer,2009,110:833-843.
[6]Xu R L.Particle characterization:light scattering methods[J].China Particuology,2003,1(6):271.
[7]CHEN Zhigang.Discussion on experimental application of Lambert-Beer law[J].ACTA Metrologica Sinica,1985,6(1):55-58.(in Chinese)陈陟岗.探讨Lambert-Beer定律在实验中的应用形式[J].计量学报,1985,6(1):55-58.
[8]WU Wei,QIN Shiqiao,HUANG Zhuqing.A fast inversion method for water droplet size determination in scattering light measurement[J].Acta Optical Sinica,2011,31(7):149-153.(in Chinese)吴伟,秦石乔,黄竹青.水滴粒径散射测量中的快速反演方法研究[J].光学学报,2011,31(7):156-160.
[9]YAN Zhengang.Statistics law of light scattering signals and its application in particles counting[D].Nanjing:Nanjing University of Science&Technology,2013.17-18.(in Chinese)闫振刚.光散射信号统计规律及在尘埃粒子计数中的应用[D].南京:南京理工大学,2013.17-28.
[10]TU Youping,SUN Youfei,PENG Qingjun,et al.Particle size distribution characteristics of naturally polluted insulators under the fog-haze environment[J].High Voltage Engineering,2014,40(11):3318-3326.(in Chinese)屠幼萍,孙佑飞,彭庆军,等.雾霾环境下自然积污绝缘子的污秽颗粒粒径分布特性[J].高压电技术,2014,40(11):3318-3326.