...
首页> 外文期刊>Bioinspiration & biomimetics >Ultra-fast escape maneuver of an octopus-inspired robot
【24h】

Ultra-fast escape maneuver of an octopus-inspired robot

机译:章鱼式机器人的超快速逃避动作

获取原文
获取原文并翻译 | 示例
           

摘要

We design and test an octopus-inspired flexible hull robot that demonstrates outstanding fast-starting performance. The robot is hyper-inflated with water, and then rapidly deflates to expel the fluid so as to power the escape maneuver. Using this robot we verify for the first time in laboratory testing that rapid size-change can substantially reduce separation in bluff bodies traveling several body lengths, and recover fluid energy which can be employed to improve the propulsive performance. The robot is found to experience speeds over ten body lengths per second, exceeding that of a similarly propelled optimally streamlined rigid rocket. The peak net thrust force on the robot is more than 2.6 times that on an optimal rigid body performing the same maneuver, experimentally demonstrating large energy recovery and enabling acceleration greater than 14 body lengths per second squared. Finally, over 53% of the available energy is converted into payload kinetic energy, a performance that exceeds the estimated energy conversion efficiency of fast-starting fish. The Reynolds number based on final speed and robot length is Re approximate to 700 000. We use the experimental data to establish a fundamental deflation scaling parameter sigma* which characterizes the mechanisms of flow control via shape change. Based on this scaling parameter, we find that the fast-starting performance improves with increasing size.
机译:我们设计并测试了以章鱼为灵感的柔性船体机器人,该机器人具有出色的快速启动性能。机器人会给水过度充气,然后迅速放气以排出流体,从而为逃生动作提供动力。我们使用此机器人在实验室测试中首次验证了快速改变尺寸可以大大减少行进数个体长的虚张声势物体的分离,并回收可用于改善推进性能的流体能量。该机器人的速度超过每秒十个体长,超过了类似推进的优化流线型刚性火箭的速度。机器人上的峰值净推力是执行相同操作的最佳刚体的2.6倍以上,实验证明能量回收大,并且加速度大于每秒14体长平方。最终,超过53%的可用能量被转换为有效载荷动能,这一性能超过了快速启动鱼类的估计能量转换效率。基于最终速度和机器人长度的雷诺数Re约为700000。我们使用实验数据建立基本的放气比例参数sigma *,该参数表征了通过形状变化进行流动控制的机制。基于此缩放参数,我们发现快速启动性能随尺寸增加而提高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号