Tu Jonathan H, Arcak Murat, Maharbiz Michel M
Department of EECS, University of California Berkeley, Berkeley, California 94720, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Feb;91(2):023018. doi: 10.1103/PhysRevE.91.023018. Epub 2015 Feb 27.
The locomotion of swimming microorganisms often relies on synchronized motions; examples include the bundling of flagella and metachronal coordination of cilia. It is now generally accepted that such behavior can result from hydrodynamic interactions alone. In this paper we consider the interactions between two side-by-side rigid helices driven by constant torques. We use the method of regularized Stokeslets to simulate an end-pinned model, in which restoring forces and torques are applied at one end of each helix. This allows us to decouple the respective effects of translation and rotation on phase synchronization. We find that while translational freedom leads to synchrony, rotational freedom can result in either synchrony or antisynchrony, depending on the stiffness of the system. In addition, we characterize the nature of the physical mechanisms driving these behaviors, focusing on the individual effects of each applied force and torque. For translational freedom, there is a single underlying mechanism in which the interaction forces indirectly influence the helix rotation rates. Multiple mechanisms are at play for rotational freedom: the interaction torques may exert either direct or indirect influence depending on stiffness. These characterizations are important to the future development of reduced-order models, which should capture not only the expected end behaviors (synchrony or antisynchrony), but also the nature of the driving mechanisms.
游泳微生物的运动通常依赖于同步运动;例如鞭毛的束集和纤毛的顺次协调。现在人们普遍认为,这种行为仅由流体动力相互作用就能产生。在本文中,我们考虑由恒定扭矩驱动的两个并排刚性螺旋之间的相互作用。我们使用正则化斯托克斯元方法来模拟一个端部固定模型,其中在每个螺旋的一端施加恢复力和扭矩。这使我们能够分离平移和旋转对相位同步的各自影响。我们发现,虽然平移自由度会导致同步,但旋转自由度可能导致同步或反同步,这取决于系统的刚度。此外,我们描述了驱动这些行为的物理机制的性质,重点关注每个施加的力和扭矩的单独影响。对于平移自由度,存在一种单一的潜在机制,其中相互作用力间接影响螺旋的旋转速率。对于旋转自由度,多种机制在起作用:相互作用扭矩可能根据刚度施加直接或间接影响。这些描述对于降阶模型的未来发展很重要,降阶模型不仅应捕捉预期的最终行为(同步或反同步),还应捕捉驱动机制的性质。