首页|New Findings on Robotics Described by Investigators at Maulana Azad National Institute of Technology (A Physics-based Failure Study of Smart Artificial Tissues In Human-like Soft Robots)
New Findings on Robotics Described by Investigators at Maulana Azad National Institute of Technology (A Physics-based Failure Study of Smart Artificial Tissues In Human-like Soft Robots)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Elsevier
A new study on Robotics is now available. According to news originating from Madhya Pradesh, India, by NewsRx correspondents, research stated, "Artificial tissues made of fiber-reinforced elastomers typically have mechanical properties similar to biological tissues. Such a similarity motivates artificial tissue usage in building human-like soft robots aiming primarily to perform a wide range of humanlike motions and effectively interact with the human environment." Our news journalists obtained a quote from the research from the Maulana Azad National Institute of Technology, "Soft robots can be ripped or damaged for unknown reasons in a variety of applications. The literature has no unified stress-based criterion for predicting the critical zones of artificial tissues undergoing deformations. Such a unified stress-based criterion typically entails detecting internal damage and establishing the stress limit criterion based on the maximum stretching threshold. The current study establishes an experimentally validated rupture criterion for a novel class of smart artificial tissues made of electro-active polymers motivated by biological tissue damages in several robust conditions. A thermodynamically consistent mechanoelectrical deformation model is formulated, demonstrating that such tissues have inherent anisotropy that must be taken into account when modeling such materials. Later, a continuum physics-based rupture model is derived as a unified stress-based criterion to investigate the effect of physical parameters associated with artificial tissue failure."
Madhya PradeshIndiaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsMaulana Azad National Institute of Technology
NETL
NSTL
Elsevier
