最佳爬行:从机械到化学驱动。

IF 2.4 3区 物理与天体物理 Q1 Mathematics
P Recho, L Truskinovsky
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引用次数: 0

摘要

从生物细胞在基质上的爬行运动中获得灵感,我们考虑了一种自我推进的物理模型,其中时空驱动既包括主动力偶的机械驱动,也包括通过控制质量翻转的化学驱动。当物料周转缓慢且机械驱动占主导地位时,我们发现在给定能量成本下,当驱动形式为行波传播的主动力配置时,达到最高速度。随着物质周转率的增加,化学驱动开始主导机械驱动,这种蠕动式控制逐渐失去效力,让位于机械驱动和化学驱动相互作用的驻波式驱动。我们的分析为爬行仿生机器人的优化设计提供了一个范例,其中传统的纯机械驱动通过分布式力致动器,辅以分布式化学控制,在力传递机械内部重塑材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal crawling: From mechanical to chemical actuation.

Taking inspiration from the crawling motion of biological cells on a substrate, we consider a physical model of self-propulsion where the spatiotemporal driving can involve both a mechanical actuation by active force couples and a chemical actuation through controlled mass turnover. When the material turnover is slow and the mechanical driving dominates, we find that the highest velocity at a given energetic cost is reached when the actuation takes the form of an active force configuration propagating as a traveling wave. As the rate of material turnover increases, and the chemical driving starts to dominate the mechanical one, such a peristalsis-type control progressively loses its efficacy, yielding to a standing-wave-type driving which involves an interplay between the mechanical and chemical actuation. Our analysis suggests a paradigm for the optimal design of crawling biomimetic robots where the conventional purely mechanical driving through distributed force actuators is complemented by a distributed chemical control of the material remodeling inside the force-transmitting machinery.

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来源期刊
Physical review. E
Physical review. E 物理-物理:流体与等离子体
CiteScore
4.60
自引率
16.70%
发文量
0
审稿时长
3.3 months
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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