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Compression of the Radiative Heat Transfer BEM Matrix of an Inductive Heating System Using a Block-Oriented Wavelet Transform

机译:面向块的小波变换压缩感应加热系统的辐射传热BEM矩阵

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Inductive heating processes become more and more important, and therefore the interest in thermal effects of an inductive heating system increases. Radiative heat transfers are normally neglected even though these transfers affect the temperature of the inductive heating system up to ten percent. To compute radiative heat transfers a boundary element method (BEM) is of first choice, due to a surface-to-surface heat transfer. To counteract the general disadvantage of a BEM—the quadratic growth of the system matrix—an application is presented using an adapted version of the JPEG2000 standard, a file format for compressing graphic images. Furthermore, an arbitrary number $N$ of degree of freedom (DOF) can be used to set up the BEM system matrix, while an adapted block-oriented fast wavelet transform compresses the preponderant populated BEM system matrix. Finally, the BEM system of linear equations is solved at compressed state using a normal iterative solver with nearly the same number of iterative steps as in uncompressed state.
机译:感应加热过程变得越来越重要,因此,人们对感应加热系统的热效应越来越感兴趣。辐射热传递通常被忽略,即使这些传递影响感应加热系统的温度高达百分之十。由于表面到表面的热传递,边界元素法(BEM)是计算辐射热传递的首选方法。为了解决BEM的一般缺点(系统矩阵的二次增长),使用了经过修改的JPEG2000标准版本(一种用于压缩图形图像的文件格式)来介绍应用程序。此外,可以使用任意数量的自由度(DOF)$ N $来建立BEM系统矩阵,而自适应的面向块的快速小波变换则压缩了人口众多的BEM系统矩阵。最后,使用常规迭代求解器在压缩状态下求解线性方程组的BEM系统,该迭代器的迭代步骤数量与未压缩状态下的迭代步骤几乎相同。

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