基于表面测温的管道内流体流量及截面温度的识别研究  被引量:1

Identification of flow rate and cross-sectional temperature in apipeline based on surface temperature measurements

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作  者:张林[1] 杨立[1] 范春利[1] ZHANG Lin;YANG Li;FAN Chun-li(College of Power Engineering,Naval Univ.of Engineering,Wuhan 430033,China)

机构地区:[1]海军工程大学动力工程学院,武汉430033

出  处:《海军工程大学学报》2018年第2期78-82,共5页Journal of Naval University of Engineering

基  金:国家自然科学基金资助项目(51479203)

摘  要:针对输热管道内部流体流量及温度分布的识别问题,提出了基于管道外壁温度分布,使用FLUENT建立管道充分发展段对流换热模型,并联合MATLAB利用有限体积法和Levenberg-Marquardt(L-M)算法形成了识别管道内流体流量及截面温度的新方法。在此基础上,研究了不同工况下管道内流体流量及截面温度的识别问题,讨论了管道表面温度测量误差及测温点个数对算法识别结果的影响。数值实验证明了该方法的有效性和精确性。To deal with the identification of fluid flow rate and temperature in a heat supply pipeline,a heat transfer model of the fully developed region of the pipeline based on the temperature distribution of the outer wall is established by means of FLUENT.Furthermore,a steady-state identification method based on finite volume method and Levenberg-Marquardt(L-M)algorithm is presented to obtain the fluid flow rate and cross-sectional temperature in the pipeline by means of MATLAB.On this basis,the identification of the fluid flow rate and cross-sectional temperature in the pipeline in diffe-rent working conditions is studied.The effects of the temperature measurement error and the number of measurement points at the outer pipe wall on the identification result are discussed.Numerical experiments verify the accuracy and the effectiveness of the method.

关 键 词:管道 流量 截面温度 传热反问题 LEVENBERG-MARQUARDT算法 

分 类 号:TK31[动力工程及工程热物理—热能工程]

 

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