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首页> 外文期刊>Numerical Heat Transfer, Part A. Application: An International Journal of Computation and Methodology >A HYBRID APPROACH USING CGM AND DE ALGORITHM FOR ESTIMATION OF BOUNDARY HEAT FLUX IN A PARALLEL PLATE CHANNEL
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A HYBRID APPROACH USING CGM AND DE ALGORITHM FOR ESTIMATION OF BOUNDARY HEAT FLUX IN A PARALLEL PLATE CHANNEL

机译:基于CGM和DE算法的平行平板通道边界热通量的混合算法。

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摘要

An inverse convection problem for estimation of transient boundary heat flux of a hydrodynamically and thermally developing laminar forced convective flow in a parallel plate channel is studied. A hybrid differential evolution approach with a local optimization algorithm is proposed for this purpose. The conjugate gradient method with adjoint equation is used as a local optimization algorithm to speed up the convergence. In comparison to the conjugate gradient method or conventional differential evolution approach, the proposed hybrid differential evolution approach is found to be more accurate. A variety of cases considering locations and numbers of sensors and transient profile of boundary heat flux have been tested to see the performance of this hybrid method.
机译:研究了用于估计平行板通道中水动力和热发展层流强迫对流的瞬态边界热通量的逆对流问题。为此,提出了一种具有局部优化算法的混合差分进化方法。伴随方程的共轭梯度法被用作局部优化算法以加快收敛速度​​。与共轭梯度法或常规差分进化方法相比,发现所提出的混合差分进化方法更为准确。考虑到传感器的位置和数量以及边界热通量的瞬态曲线的各种情况,已经进行了测试,以了解这种混合方法的性能。

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