کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4991203 1457104 2017 38 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Inverse analysis for simultaneously estimating multi-parameters of temperature-dependent thermal conductivities of an Inconel in a reusable metallic thermal protection system
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی جریان سیال و فرایندهای انتقال
پیش نمایش صفحه اول مقاله
Inverse analysis for simultaneously estimating multi-parameters of temperature-dependent thermal conductivities of an Inconel in a reusable metallic thermal protection system
چکیده انگلیسی
Metallic materials such as an Inconel and an alloy steel play very important roles for bearing in the reusable metallic thermal protection system (TPS) for a hypersonic aircraft. Accurate determination of temperature-dependent thermal conductivities of these metallic materials is a key issue for both design and optimization of the TPS, which determines transient temperature field and further thermal stress distribution. However, it is very difficult to directly measure these temperature-dependent thermal conductivities with high temperatures, or analytically calculate them. Inverse problems provide new insights for accurately determining temperature-dependent thermal conductivities of these materials with high service temperatures, by using additional temperature measurements. In the present work, multi-parameters of temperature-dependent thermal conductivities of an Inconel in a reusable metallic TPS are simultaneously estimated by solving a transient nonlinear inverse heat conduction problem (IHCP). The Levenberg-Marquardt (LM) algorithm, the conjugate gradient method (CGM) and the Least-squares (LS) method are employed for the solution. The accuracy, the efficiency, the robustness and the convergence stability of these three methods for estimating temperature-dependent thermal conductivities of the Inconel are investigated in detail. A relaxation factor is introduced into a LM algorithm for the first time, attributed to which the convergence stability of the LM algorithm is improved. Finally, the optimal choice of the three methods for simultaneously estimating multi-parameters of temperature-dependent thermal conductivities of the Inconel is suggested, that is accurate, robust, convergence stable and the most efficient.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Thermal Engineering - Volume 125, October 2017, Pages 480-488
نویسندگان
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