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Estimation of Radius Ratio in a Fin Using Inverse CFD Model

机译:逆CFD模型估算鳍片的半径比

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Normal 0 false false false MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} This article deals with the retrieval of parameters such as the radius-ratio in a rectangular fin using an inverse CFD model involving a mixed boundary condition. At first, the temperature field is obtained from a forward problem using the finite difference method (FDM) in which the inner and outer radii or the radius-ratio is assumed to be known. Next, by an inverse approach using the FDM in conjunction with the genetic algorithm (GA), the inner and outer radii or the radius-ratio is retrieved. To accomplish the task, an objective function represented by the sum of square of the error between the guessed and the exact/measured temperature fields is minimized. Apart from demonstrating the suitability of the FDM-GA, the study provides guidelines for selecting suitable optimization parameters. It is observed that subject to appropriate selection of parameters, very good estimation accuracy could be obtained.
机译:正常0否否否MicrosoftInternetExplorer4 / *样式定义* / table.MsoNormalTable {mso-style-name:“ Table Normal”; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:是; mso-style-parent:“”; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso分页:寡妇孤儿;字体大小:10.0pt; font-family:“ Times New Roman”; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;}本文使用涉及混合边界条件的逆CFD模型来处理诸如矩形鳍中半径比之类的参数的检索。首先,使用有限差分法(FDM)从正向问题获得温度场,在该方法中,假定内半径和外半径或半径比是已知的。接下来,通过将FDM与遗传算法(GA)结合使用的逆方法,可以检索到内半径和外半径或半径比。为了完成任务,由猜测和精确/测量的温度场之间的误差平方和表示的目标函数被最小化。除了证明FDM-GA的适用性外,该研究还提供了选择合适的优化参数的指南。据观察,如有的参数适当选择,可以得到很好的估计精度。

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