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Published on: October 1, 2019
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通过蒙特卡洛分层优化方法对单个自由度的六条机制进行计算机辅助设计
1Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China.
Heliyon
|May 24, 2024
概括
本研究介绍了单自由度 (DOF) 6 条机制的计算机辅助设计方法. 它有效地优化这些机制在多个约束下使用分层的蒙特卡洛方法,减少设计依赖经验.
科学领域:
- 机器人与机械工程 机器人与机械工程
- 计算设计的计算设计.
- 运动学和动力学.
背景情况:
- 平面单自由度 (DOF) 6 条机制在机器人技术中非常重要,因为它们的控制简单,硬度高.
- 设计这些机制是复杂的,因为许多设计变量和多个约束.
- 现有的方法经常与多约束机制设计的效率和复杂性作斗争.
研究的目的:
- 为单 DOF 6 条机制开发计算机辅助设计 (CAD) 方法.
- 为了应对具有多个轨迹,姿势和性能限制的优化机制的挑战.
- 为了创建一个高效和经验独立的设计过程,为6杆机制.
主要方法:
- 针对6条条机制量身定制的机密动力学建模方法的实施.
- 建立一个限制指数系统,涵盖各种设计要求.
- 关于蒙特卡洛层次优化方法的建议,其中包含动态约束调整.
- 开发专门的机制设计软件.
主要成果:
- 证明了快速获得6条条机制,满足多种约束.
- 在优化过程中实现了卓越的计算效率.
- 验证了分层优化和约束索引系统的有效性.
- 开发的软件减少了对广泛用户体验的需求.
结论:
- 拟议的计算机辅助设计方法显著提高了在多个约束条件下6杆机制设计的效率.
- 分层的蒙特卡洛优化方法为复杂机制合成提供了一个强大的框架.
- 开发的软件是工程师和研究人员在机制设计中的一个有价值的工具.
- 这项研究为优化复杂机械系统提供了一个可扩展的参考.
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