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Filter feeding in devil rays is highly sensitive to morphology

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DataONE2024-12-28 更新2025-04-26 收录
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Mobulid rays (manta and devil rays) use a highly-specialized filtering apparatus to separate plankton food particles from large volumes of seawater. Recent studies have indicated that captive vortices form within the microscale pores of the filter, which enhance filtration efficiency through a novel mechanism referred to as ricochet separation. The high throughput and clog resistance of this filtration process has garnered the attention of the engineering community and inspired the development of several engineered filtration systems. However, it is still unclear how changes to the filter morphology influence the surrounding flow patterns and filtration efficiency. We address this question by examining the flow fields around and filtering properties of mobulid filters with systematically varied morphologies, using a combination of computational fluid dynamics and experiments on physical models. Our results indicate that the morphological features critical to the performance of the mobul..., The deposited material provides the scripts and models used for computational fluid dynamics (CFD) simulations and particle image velocimetry (PIV) experiments. Further details may be found in the associated research article., , # Filter feeding in devil rays is highly sensitive to morphology [https://doi.org/10.5061/dryad.280gb5n0s](https://doi.org/10.5061/dryad.280gb5n0s) ## Description of the data and file structure Computational fluid dynamics (CFD) simulations and particle image velocimetry (PIV) experiments examining the biomechanics software filter feeding in devil rays. ### Files and variables #### File: kahane\_rapport\_etal\_2024.tar.gz **Description:** Scripts and model files for CFD and PIV, organized as * cfd_models : input files for CFD simulations * freestream_vel : simulations varying freestream velocity * lobe_angle_offset : simulations varying lobe angle * lobe_period : simulations varying lobe period * lobe_tip_angle_offset : simulations varying lobe tip angle * lobe_tip_length : simulations varying lobe tip length * lobe_tip_radius : simulations varying lobe tip radius * cfd_scripts : MATLAB scripts for generating CFD input files * analyze_trace_rev.m : analyze time-reve...

蝠鲼类(Mobulid rays,包括蝠鲼与鬼蝠鲼)借助高度特化的过滤器官,从大量海水中分离浮游生物食物颗粒。近期研究表明,过滤器的微尺度孔隙内会形成捕获涡流,通过一种被称为弹离分离(ricochet separation)的新机制提升过滤效率。该过滤过程的高通量(throughput)与抗堵塞性已引起工程界的关注,并启发了多款工程过滤系统的开发。然而,过滤器形态(morphology)的变化如何影响周围流场及过滤效率仍不明确。我们通过结合计算流体动力学(computational fluid dynamics, CFD)与物理模型实验,研究了形态系统变化的蝠鲼类过滤器周围的流场及其过滤特性,以解决这一问题。我们的结果表明,对蝠鲼类过滤器性能至关重要的形态特征……(原文此处截断)。所提供的资料包含用于计算流体动力学(CFD)模拟和粒子图像测速(particle image velocimetry, PIV)实验的脚本与模型。更多细节可参见相关研究论文。 # 魔鬼蝠鲼的滤食行为对形态高度敏感 [https://doi.org/10.5061/dryad.280gb5n0s](https://doi.org/10.5061/dryad.280gb5n0s) ## 数据与文件结构描述 研究魔鬼蝠鲼滤食生物力学的计算流体动力学(CFD)模拟与粒子图像测速(PIV)实验。 ### 文件与变量 #### 文件:kahane_rapport_etal_2024.tar.gz **描述:** 用于CFD和PIV的脚本与模型文件,组织方式如下: * cfd_models:CFD模拟输入文件 * freestream_vel:自由流速度变化模拟 * lobe_angle_offset:叶瓣角度偏移模拟 * lobe_period:叶瓣周期变化模拟 * lobe_tip_angle_offset:叶瓣尖端角度偏移模拟 * lobe_tip_length:叶瓣尖端长度变化模拟 * lobe_tip_radius:叶瓣尖端半径变化模拟 * cfd_scripts:生成CFD输入文件的MATLAB脚本 * analyze_trace_rev.m:分析时间序列……(原文此处截断)
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