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相关概念视频

Optimization Problems01:26

Optimization Problems

Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...

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相关实验视频

Updated: May 7, 2026

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light
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基于可达性二次分析的自动光纤放置的最佳时间路径参数化规划.

Guangyu Dong1,2, Wenpeng Li1,2, Yuhong Du3,4

  • 1School of Mechanical Engineering, Tiangong University, Tianjin, 300387, China.

Scientific reports
|April 2, 2025
PubMed
概括

这项研究优化了自动化纤维放置以提高效率. 新方法显著减少复杂复合结构的生产时间,增强工业应用.

关键词:
自动化纤维布置方式路径离散化路径离散化时间优化时间优化.运行轨道的调整

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Last Updated: May 7, 2026

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科学领域:

  • 材料科学与工程 材料科学与工程
  • 制造业 制造技术 制造技术
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 自动化纤维放置提高了汽车,航空航天和海洋行业的复合元件刚性.
  • 由于多层连续纤维沉积,目前的纤维放置方法的生产效率较低.

研究的目的:

  • 为了优化时间最佳路径参数化 (TOPP) 进行自动化光纤放置.
  • 通过减少离散点和优化时间参数来提高生产效率.

主要方法:

  • 引入了基于第三阶形螺旋近似的轨迹误差计算方法,以提高准确性.
  • 约束轨迹误差和表面正常变化以减少冗余的离散点.
  • 提出了一种新的TOPP方法,使用可访问性二次分析来优化时间参数.
  • 利用多项式适合时间参数和密集的网格点用于速度规划.

主要成果:

  • 与传统方法相比,拟议的方法将两条不同的路径的放置时间减少了0.5s和0.53s.
  • 路径1完成时间从2.05s减少到1.55s.
  • 路径2完成时间从2.29秒减少到1.76秒.

结论:

  • 开发的方法有效地优化了自动光纤放置的最佳时间路径参数化.
  • 实现了显著的时间缩短,这表明超波表面组件的生产效率提高.
  • 该方法为提高复杂复合材料制造速度提供了可行的解决方案.