Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Machines: Problem Solving II

Machines: Problem Solving II

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Designing McKibben muscles: a critical review for practical implementation.

Bioinspiration & biomimetics·2026

Same author

Shape-Adaptive Robotics: Programmable Morphing through SMA and SMP Integration.

Soft robotics·2026

Same author

Dietary inflammatory index and unfavorable dietary patterns associated with ischemic stroke in China.

Asia Pacific journal of clinical nutrition·2026

Same author

Novel Barbed Microneedle Array-Mediated Dual-Drug Delivery for Thick Infantile Hemangiomas.

Advanced healthcare materials·2026

Same author

Metalloborophenes: Structural Diversity and Emerging Properties of Metal-Boron Two-Dimensional Frameworks.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

Diverse clinical course and features of verrucous venous malformation.

Journal of the American Academy of Dermatology·2026

Search research articles

相关实验视频

Updated: Jun 9, 2025

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold

Published on: October 23, 2015

一个机械智能形状变形结构的基于模型的设计.

Qianyi Chen¹, Dingena Schott², Jovana Jovanova²

¹Faculty of Mechanical Engineering, Delft University of Technology, Delft, 2628 CD, The Netherlands. Q.Chen-5@tudelft.nl.

Scientific reports

|October 31, 2024

概括

本研究介绍了一种新的机械智能结构,使用智能水凝和形状记忆聚合物 (SMP). 这一创新使得大变形和可变刚度成为可能,这对于在苛刻环境中先进的软机器人至关重要.

关键词:

有限元素方法 (FEM)水凝是一种水凝.机械智能结构是一个机械智能结构.基于模型的设计.形状记忆的聚合物.形状的形态变化

更多相关视频

Design and Fabrication of an Elastomeric Unit for Soft Modular Robots in Minimally Invasive Surgery

Design and Fabrication of an Elastomeric Unit for Soft Modular Robots in Minimally Invasive Surgery

Published on: November 14, 2015

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

相关实验视频

Last Updated: Jun 9, 2025

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold

Published on: October 23, 2015

Design and Fabrication of an Elastomeric Unit for Soft Modular Robots in Minimally Invasive Surgery

Design and Fabrication of an Elastomeric Unit for Soft Modular Robots in Minimally Invasive Surgery

Published on: November 14, 2015

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

科学领域:

材料科学材料科学材料科学
机器人技术机器人技术机器人技术
机械工程机械工程

背景情况:

软机器人提供了灵活性,但在海上工程等大规模应用中面临着硬度和可变形性的挑战.
整合智能材料和变形结构是克服这些局限性的关键,使大变形和刚度变化成为可能.

研究的目的:

提出和分析一个机械智能结构,使用多种智能材料来增强软机器人能力.
研究智能水凝和形状记忆聚合物 (SMP) 在实现大变形和可变刚性的潜力.

主要方法:

基于模型的设计框架被用来设计智能结构.
使用有限元法 (FEM) 模拟来分析智能材料与结构性能之间的复杂相互作用.

主要成果:

智能水凝和SMP的集成有效地通过形状记忆效应实现了大变形和可变刚度.
开发的形状变形结构展示了定制的行为,如曲,卷曲和延伸,减少了对外部电源的依赖.

结论:

在基于模型的设计框架中使用多种智能材料是创建机械智能结构的有效策略.
这些结构为水下和海上工程的应用提供了巨大的潜力,解决了当前软机器人系统的局限性.