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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Heat Transfer Research
Импакт фактор: 1.199 5-летний Импакт фактор: 1.155 SJR: 0.267 SNIP: 0.503 CiteScore™: 1.4

ISSN Печать: 1064-2285
ISSN Онлайн: 2162-6561

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Heat Transfer Research

DOI: 10.1615/HeatTransRes.2016011347
pages 915-933

INVERSE IDENTIFICATION OF EFFECTIVE THERMAL CONDUCTIVITY BASED ON SURFACE TEMPERATURE MEASUREMENT: AN ANALYSIS OF EFFECTING FACTORS

Chunli Fan
College of Power Engineering, Naval University of Engineering, Wuhan 430033, People's Republic of China
Lin Zhang
College of Power Engineering, Naval University of Engineering, Wuhan 430033, People's Republic of China
Wendou Jia
College of Power Engineering, Naval University of Engineering, Wuhan 430033, People's Republic of China
Li Yang
College of Power Engineering, Naval University of Engineering, Wuhan 430033, People’s Republic of China
Fengrui Sun
College of Power Engineering, Naval University of Engineering, Wuhan 430033, People’s Republic of China

Краткое описание

A new conductivity-based method was presented in one of our previous papers (Fan et al., 2012) which provides a simple and efficient solution to the inverse heat transfer problem on the geometry identification of inner plate surface with defects. However, for this method there are still some problems, such as the error resources and the effecting factors of the method, that need to be discussed. This paper takes the core identification process of the method, i.e., the identification of the distribution of effective thermal conductivity, to analyze the above-mentioned problems. Based on a series of numerical experiments, we can draw the following conclusions (also applicable for the conductivity-based method): the method does not magnify the temperature measurement error; the error in the identification result comes from the inverse problem itself but not the algorithm; increasing the temperature of the heating surface is helpful to obtain a more accurate identification result; the number of temperature measurement points can be reduced, and the lateral boundary conditions have a negligible effect on the identification result of the inverse method.


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