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Performance assessment of bio-inspired systems: flow sensing MEMS hairs

机译:生物启发系统的性能评估:流量感应MEMS毛

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Despite vigorous growth in biomimetic design, the performance of man-made devices relative to their natural templates is still seldom quantified, a procedure which would however significantly increase the rigour of the biomimetic approach. We applied the ubiquitous engineering concept of a figure of merit (FoM) to MEMS flow sensors inspired by cricket filiform hairs. A well known mechanical model of a hair is refined and tailored to this task. Five criteria of varying importance in the biological and engineering fields are computed: responsivity, power transfer, power efficiency, response time and detection threshold. We selected the metrics response time and detection threshold for building the FoM to capture the performance in a single number. Crickets outperform actual MEMS on all criteria for a large range of flow frequencies. Our approach enables us to propose several improvements for MEMShair-sensor design.
机译:尽管仿生设计蓬勃发展,但是人造装置相对于其天然模板的性能仍然很少被量化,但是该程序会大大增加仿生方法的严格性。我们将普遍适用的品质因数(FoM)概念应用于受flow丝状毛发启发的MEMS流量传感器。完善并调整了众所周知的头发机械模型以完成此任务。计算了在生物学和工程领域中重要性不同的五个标准:响应度,功率传输,功率效率,响应时间和检测阈值。我们选择了指标响应时间和检测阈值来构建FoM,以捕获单个性能。在大范围的流动频率上,在所有标准上均优于实际的MEMS。我们的方法使我们能够为MEMS头发传感器设计提出一些改进。

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