首页> 美国卫生研究院文献>Journal of the Royal Society Interface >Biomimetic reliability strategies for self-healing vascular networks in engineering materials
【2h】

Biomimetic reliability strategies for self-healing vascular networks in engineering materials

机译:工程材料自修复血管网络的仿生可靠性策略

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Self-healing via a vascular network is an active research topic, with several recent publications reporting the application and optimization of these systems. This work represents the first consideration of the probable failure modes of a self-healing system as a driver for network design. The critical failure modes of a proposed self-healing system based on a vascular network were identified via a failure modes, effects and criticality analysis and compared to those of the human circulatory system. A range of engineering and biomimetic design concepts to address these critical failure modes is suggested with minimum system mass the overall design driver for high-performance systems. Plant vasculature has been mimicked to propose a segregated network to address the risk of fluid leakage. This approach could allow a network to be segregated into six separate paths with a system mass penalty of only approximately 25%. Fluid flow interconnections that mimic the anastomoses of animal vasculatures can be used within a segregated network to balance the risk of failure by leakage and blockage. These biomimetic approaches define a design space that considers the existing published literature in the context of system reliability.
机译:通过血管网络的自我修复是一个活跃的研究主题,最近的一些出版物报道了这些系统的应用和优化。这项工作代表了对作为网络设计驱动程序的自愈系统的可能故障模式的首次考虑。通过故障模式,影响和临界分析,确定了基于血管网络的自愈系统的关键故障模式,并将其与人体循环系统进行了比较。建议使用一系列工程和仿生设计概念来解决这些关键的故障模式,并以最小的系统质量作为高性能系统的总体设计驱动力。模仿了植物的脉管系统,提出了一个隔离的网络来解决流体泄漏的风险。这种方法可以将网络隔离为六个单独的路径,而系统质量损失仅为大约25%。可以在隔离的网络内使用模仿动物脉管吻合口的流体流动互连,以平衡因泄漏和阻塞而导致失效的风险。这些仿生方法定义了一个设计空间,在系统可靠性的背景下考虑了现有的公开文献。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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