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A computational fluid dynamics study of suction feeding fish using chimera overset grids.

机译:利用嵌合体过冲网格对吸食性鱼类进行计算流体动力学研究。

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摘要

Suction feeding is one of the most common forms of aquatic prey capture. During a suction feeding event a fish rapidly expands its buccal cavity to create a pressure drop which forces a fluid fiow into the fish mouth. The fluid flow field created during a suction feeding event interacts with prey via hydrodynamic forces and draws the prey into the fish mouth. A knowledge of this fluid flow field and the forces exerted on the prey are crucial to understanding suction feeding. Experiments involving high speed filming have increased this understanding but have limitations. We investigate suction feeding through computational fluid dynamics (CFD) experiments utilizing Chimera overset grids. We validate this approach through comparisons with experiments and previous models and explore how ram swimming affects the fluid flow field. A relationship between ram and the importance of strike accuracy in suction feeding events is found. We explore why most species of suction feeders have flat circular mouths and show these attributes are important for maximizing fluid flow rates and minimizing prey capture times.
机译:吸食是水生猎物捕获的最常见形式之一。在吸食期间,鱼会迅速扩张其颊腔以产生压降,迫使流体流进入鱼嘴。在吸食事件期间产生的流体流场通过流体动力与猎物相互作用并将猎物吸引到鱼嘴中。了解此流体流场和作用在猎物上的力对于理解吸食至关重要。涉及高速摄影的实验增加了这种理解,但有局限性。我们通过使用Chimera偏心网格的计算流体动力学(CFD)实验研究吸力供给。我们通过与实验和以前的模型进行比较来验证这种方法,并探索公羊游泳如何影响流体流场。发现了压头和吸料事件中打击精度的重要性之间的关系。我们探究了为什么大多数种类的吸食器都具有平坦的圆形嘴,并说明这些属性对于最大化流体流速和最小化捕食时间很重要。

著录项

  • 作者

    Skorczewski, Tyler Lee.;

  • 作者单位

    University of California, Davis.;

  • 授予单位 University of California, Davis.;
  • 学科 Applied Mathematics.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 103 p.
  • 总页数 103
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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