XIONG Ping, LU Qi, LU Tao, DENG Jian, LIU Yu, ZHANG Yong. Estimating Fluid Temperature of Pipe Based on Sequential Function Specification Method[J]. Atomic Energy Science and Technology, 2020, 54(9): 1595-1603. DOI: 10.7538/yzk.2019.youxian.0940
Citation: XIONG Ping, LU Qi, LU Tao, DENG Jian, LIU Yu, ZHANG Yong. Estimating Fluid Temperature of Pipe Based on Sequential Function Specification Method[J]. Atomic Energy Science and Technology, 2020, 54(9): 1595-1603. DOI: 10.7538/yzk.2019.youxian.0940

Estimating Fluid Temperature of Pipe Based on Sequential Function Specification Method

More Information
  • The sequential function specification method (SFSM) was used to quickly invert the near-wall fluid temperature and heat transfer coefficient of two-dimensional pipe. The accuracy of the inverse heat conduction problem was verified by numerical experiment. Meanwhile, the influence of measurement noises on inversion results was discussed. The inversion results show that SFSM can accurately obtain the fluid temperature and convective heat transfer coefficient near the inner wall of pipe. When the measurement noises exist, the inversion value fluctuates in the real value and the amplitude slightly increases with the noises. The average relative error of the estimated fluid temperature near the wall is about 1% with or without measurement noises, while the inversion accuracy of the convective heat transfer coefficient is slightly worse, but the average relative error is less than 20%. It means that the inversion program has a certain anti-noise performance.
  • [1]
    卢涛,李春永. 基于共轭梯度法对T型管内壁瞬态温度的识别[J]. 热科学与技术,2011,10(1):45-50.LU Tao, LI Chunyong. Identifying of inner wall unsteady temperature at T-junction using conjugate gradient method[J]. Journal of Thermal Science and Technology, 2011, 10(1): 45-50(in Chinese).
    [2]
    熊平,艾红雷,卢涛,等. 一维非稳态导热反问题反演管道内壁面温度波动[J]. 核动力工程,2018,39(2):96-100.XIONG Ping, AI Honglei, LU Tao, et al. Inverse problem of onedimensional unsteady heat conduction deducing temperature fluctuation of inner wall of pipe[J]. Nuclear Power Engineering, 2018, 39(2): 96-100(in Chinese).
    [3]
    LU T, LIU B, JIANG P X. Inverse estimation of the inner wall temperature fluctuations in a pipe elbow[J]. Applied Thermal Engineering, 2011, 31: 1976-1982.
    [4]
    王登刚,刘迎曦,李守巨. 二维稳态导热反问题的正则化解法[J]. 吉林大学自然科学学报,2000(2):56-60.WANG Denggang, LIU Yingxi, LI Shouju. Regularization procedure for two-dimensional steady heat conduction inverse problems[J]. Acta Scientiarium Naturalium Universitatis Jilinensis, 2000(2): 56-60(in Chinese).
    [5]
    钱炜祺,蔡金狮. 再入航天飞机表面热流密度辨识[J]. 宇航学报,2000,21(4):1-6.QIAN Weiqi, CAI Jinshi. Surface heat flux identification of reentry space shuttle[J]. Journal of Astronautics, 2000, 21(4): 1-6(in Chinese).
    [6]
    钱炜祺,吴世见,卜海涛,等. 气动热参数辨识原理性实验初步研究[J]. 实验流体力学,2009,23(2):59-62.QIAN Weiqi, WU Shijian, BU Haitao, et al. Preliminary investigation of principle experiment for aero-thermodynamic parameter estimation[J]. Journal of Experiments in Fluid Mechanics, 2009, 23(2): 59-62(in Chinese).
    [7]
    BECK J, BLACKWELL B C, Jr. Inverse heat conduction: Ⅲ-posed problem[M]. New York: John Wiley and Sons, 1985.
    [8]
    王秀春,智会强. 人工神经网络和遗传算法在导热反问题中的应用[J]. 河北工业大学学报,2004,33(2):171-176.WANG Xiuchun, ZHI Huiqiang. Application of artificial neural networks and genetic algorithms in inverse heat conduction problems[J]. Journal of Hebei University of Technology, 2004, 33(2): 171-176(in Chinese).
    [9]
    乔庆玲,卢玫,张翠珍,等. 基于动态参数蚁群算法的寻源导热反问题研究[J]. 上海理工大学学报,2016,38(2):126-132.QIAO Qingling, LU Mei, ZHANG Cuizhen, et al. Heat source seeking in inverse heat conduction problem by dynamic parameters ant colony algorithm[J]. Journal of University of Shanghai for Science and Technology, 2016, 38(2): 126-132(in Chinese).
    [10]
    孙金金,朱彤,吴家正. 神经网络法求解墙体传热系数关键输入变量的分析[J]. 新型建筑材料,2006(12): 61-64.SUN Jinjin, ZHU Tong, WU Jiazheng. Analysis of the key input variables for solving wall heat transfer coefficient using the neural network method[J]. New Building Materials, 2006(12): 61-64(in Chinese).
    [11]
    BERGMAN T, LAVINE A, INCROPERA F, et al. Introduction to heat transfer[M]. Sixth Edition. US: John Wiley and Sons, Inc., 2011.
  • Cited by

    Periodical cited type(1)

    1. 吕生龙. 情景模拟技术在警务技战术模块化课程体系中的应用研究. 微型电脑应用. 2023(04): 156-159 .

    Other cited types(3)

Catalog

    Article views (341) PDF downloads (1079) Cited by(4)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return