Diffuser and Nozzle Design Optimization by Entropy Generation Minimization
Diffuser and Nozzle Design Optimization by Entropy Generation Minimization
复制标题
通过熵生成最小化优化扩散器和喷嘴设计
作者：
B. Schmandt;H. Herwig
翻译后摘要：扩散器和喷嘴内的一个旋流系统进行优化，相对于theirwall形状为一个给定的横截面的变化。优化目标是水头损失系数K的低值，这可以与由于管道组件而产生的总熵相关联。首先，假设壁面为具有两个自由度的多项式形状。作为第二种方法，通过遗传算法确定了扩压器中六个等间距的直径，使得熵产生和水头损失最小化，结果表明，在优化之前和优化过程中，应该使用沿沿着湍流路径的横截面平均熵产生率的可视化来识别高熵产生的来源。这样就有可能决定一个给定的元件形状的参数表示是否只会导致损失的重新分布，或者（在最有利的情况下）导致K的极小值。关键词：第二定律分析;熵产生;优化;扩散器1。介绍
Abstract: Diffusers and nozzles within a flow system are optimized with respect to theirwall shapes for a given change in cross sections. The optimization target is a low value ofthe head loss coefficient K, which can be linked to the overall entropy generation due to theconduit component. First, a polynomial shape of the wall with two degrees of freedom isassumed. As a second approach six equally spaced diameters in a diffuser are determinedby a genetic algorithm such that the entropy generation and thus the head loss is minimized.It turns out that a visualization of cross section averaged entropy generation rates along theflowpathshouldbeusedtoidentifysourcesofhighentropygenerationbeforeandduringtheoptimization. Thusit willbe possibleto decide whether a givenparametric representation ofa component’s shape only leads to a redistribution of losses or (in the most-favored case) tominimal values for K. Keywords: second law analysis; entropy generation; optimization;diffuser 1. Introduction