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AN OPTIMIZATION TECHNIQUE FOR RADIAL COMPRESSOR IMPELLERS

机译:径向压缩机叶轮的优化技术

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A software tool has been created to aid in automated impeller design within an integrated design system for radial flow impellers. The design tool takes the results from the 1D preliminary design process and uses these to define a parameterized blade geometry, which incorporates features that are required for low mechanical stresses and simple manufacturing. This geometry is then adjusted to minimize a global objective function using a throughflow computation. The adjustment is based on selection with a breeder genetic algorithm. The initial population includes "elite" designs from a database of earlier well-proven experience, and the final design is honed to perfection with a hill-climbing method.With the help of a suitable global objective function incorporating mechanical and aerodynamic criteria, and taking into account wide experience with the design of impellers, the tool provides a fast screening of various design possibilities to produce a geometrical input for more advanced computational fluid dynamic and mechanical analysis. This is demonstrated through the redesign of an impeller previously designed by conventional methods. Comparisons of the results of the CFD analysis of the new impeller with that of the earlier design demonstrate that the tool can rapidly produce nearly optimal designs as an excellent basis for further refinement by the more complex analysis methods.
机译:已经创建了一种软件工具,以在径向流叶轮的集成设计系统中协助自动叶轮设计。设计工具从一维初步设计过程中获取结果,并使用这些结果来定义参数化的叶片几何形状,该几何形状具有低机械应力和简单制造所需的功能。然后使用通流计算来调整此几何形状以最小化全局目标函数。调整是基于使用育种者遗传算法进行的选择。最初的设计人员包括来自经验丰富的数据库的“精英”设计,而最终的设计则采用爬山方法进行了完善。 借助结合机械和空气动力学标准的适当全局目标函数,并考虑到叶轮设计的广泛经验,该工具可快速筛选各种设计可能性,以产生几何输入,从而提供更高级的计算流体动力学和机械性能分析。通过重新设计以前用常规方法设计的叶轮可以证明这一点。新叶轮的CFD分析结果与早期设计的结果比较表明,该工具可以快速生成近乎最佳的设计,这是通过更复杂的分析方法进行进一步细化的极好的基础。

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