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Can the shape influence entropy generation for thermal convection of identical fluid mass with identical heating? A finite element introspection

机译:形状是否会影响熵生成,用于相同加热的相同流体质量的热对流? 有限元内省

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Purpose - This paper aims to investigate the role of shapes of containers (nine different containers) on entropy generation minimization involving identical cross-sectional area (1 sq. unit) in the presence of identical heating (isothermal). The nine containers are categorized into three classes based on their geometric similarities (Class 1: square, tilted square and parallelogram; Class 2: trapezoidal type 1, trapezoidal type 2 and triangular; Class 3: convex, concave and curved triangular). Design/methodology/approach - Galerkin finite element method is used to solve the governing equations for a representative fluid (engine oil: Pr = 155) at Ra = 10~3-10~5. In addition, finite element method is used to solve the streamfunction equation and evaluate the entropy generation terms (S_ψ and S_θ). Average Nusselt number (Nu_b) and average dimensionless spatial temperature (θ) are also evaluated via the finite element basis sets. Findings - Based on larger Nu_b,, larger 8 and optimal S_(total) values, containers from each class are preferred as follows: Class 1: parallelogrammic and square, Class 2: trapezoidal type 1 and Class 3: convex (larger θ, optimum S_(total)) and concave (larger Nu_b,). Containers with curved walls lead to enhance the thermal performance or efficiency of convection processes. Practical implications - Comparison of entropy generation, intensity of thermal mixing (θ) and average heat transfer rate give a clear picture for choosing the appropriate containers for processing of fluids at various ranges of Ra. The results based on this study may be useful to select a container (belonging to a specific class or containers with curved or plane walls), which can give optimal thermal performance from the given heat input, thereby leading to energy savings. Originality/value - This study depicts that entropy generation associated with the convection process can be reduced via altering the shapes of containers to improve the thermal performance or efficiency for processing of identical mass with identical heat input. The comparative study of nine containers elucidates that the values of local maxima of S_ψ (S_(ψ,max)), S_θ (S_(θ,max)) and magnitude of S_(total) vary with change in shapes of the containers (Classes 1-3) at fixed Pr and Ra. Such a comparative study based on entropy generation minimization on optimal heating during convection of fluid is yet to appear in the literature. The outcome of this study depicts that containers with curved walls are instrumental to optimize entropy generation with reasonable thermal processing rates.
机译:目的 - 本文旨在调查容器(九种不同容器)形状对涉及相同加热(等温)的相同横截面积(1平方)的熵产生最小化的作用。九个容器基于其几何相似之处分为三个类(第1类:方形,倾斜的方形和平行四等级; 2级:梯形式1,梯形型2和三角形;第3类:凸,凹凸和弯曲三角形)。设计/方法/方法 - Galerkin有限元方法用于解决在RA = 10〜3-10〜5的代表性流体(发动机油:PR = 155)的控制方程。另外,有限元方法用于解决流功能方程并评估熵生成术语(S_ψ和S_θ)。通常通过有限元基集进行评估平均露珠数(Nu_B)和平均无量纲空间温度(θ)。结果 - 基于较大的Nu_B,较大的8和最佳S_(总计)值,每个班级的容器优先于如下:3级:平行四级和方形,第2级:梯形型1和第3类:凸(较大θ,最佳) S_(总计))和凹(较大的NU_B)。具有弯曲壁的容器导致增强热性能或对流过程的效率。实际意义 - 熵生成的比较,热混合强度(θ)和平均传热速率提供了一种清晰的图像,用于选择适当的容器,用于在RA的各种范围内加工流体。基于该研究的结果可用于选择容器(属于具有弯曲或平面壁的特定类或容器),其可以从给定的热输入提供最佳的热性能,从而导致节能。原创性/值 - 本研究描述了通过改变容器的形状来改变与对流过程相关联的熵产生,以提高具有相同热输入的相同质量的热性能或效率。九个容器的比较研究阐明了S_ψ的局部最大值的值(S_(ψ,max)),s_θ(s_(θ,max))和s_(total)的幅度随容器形状的变化(类1-3)固定PR和RA。在流体对流期间基于熵产生最小化的这种比较研究尚未出现在文献中。本研究的结果描绘了具有弯曲壁的容器是有助于优化具有合理热处理速率的熵产生。

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