基于智能优化算法和生成设计的双机器人抓手卸载装置的结构优化设计.
Jiguang Jia1,2, Xuan Sun1,2, Ting Liu1,2
1College of Mechanic and Control Engineering, Guilin University of Technology, Guilin 541004, China.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
本研究引入了一种用于轻量结构设计的全新综合方法,将智能优化与生成设计结合起来. 这种方法显著降低了结构重量,提高了刚性,满足了工业标准.
科学领域:
- 工程 工程师 工程师 工程师
- 计算科学 计算科学
- 材料科学 材料科学 材料科学
背景情况:
- 轻量化结构设计对于各行各业的效率和性能至关重要.
- 多变量和多目标优化在结构工程中提出了重大挑战.
- 现有的方法往往难以平衡竞争的设计目标,如重量,刚性和能量.
研究的目的:
- 为轻质结构提出一个综合优化设计方法.
- 解决结构设计中的多变量和多目标挑战.
- 探索结合智能优化算法和生成设计的新方法.
主要方法:
- 建立一个元模型来定义设计变量,质量,应变能量和固有的能量之间的关系.
- 使用非主导排序基因算法III (NSGA-III) 进行多目标优化.
- 将重建的结构与生成设计集成在一起,用于自动化设计代和评估.
主要成果:
- 结构质量降低了27%,固有的能量增加了0.95倍.
- 确保整体结构变形低于0.003毫米,最大应力在3.2 MPa.
- 证明优化的结构显著优于产量强度,并符合工业使用标准.
结论:
- 拟议的综合方法为优化结构设计提供了一种优越的方法.
- 智能优化和生成设计的结合有效地解决了轻量级设计的挑战.
- 经过验证的结果证实了开发的工业应用方法的实际适用性和效率.
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