常量(计算机编程)
储能
机器人
能量(信号处理)
流离失所(心理学)
计算机科学
控制理论(社会学)
拓扑(电路)
模拟
机械工程
工程类
数学
物理
热力学
电气工程
人工智能
心理学
功率(物理)
统计
控制(管理)
心理治疗师
程序设计语言
作者
Haihua Ou,Haiping Yi,Zeeshan Qaiser,Tanzeel Ur Rehman,Shane A. Johnson
摘要
Abstract In this study, we present a structural optimization framework to design constant force mechanisms (CFMs) with high energy storage capacity. In the framework, the constant force behavior with a zero preload is defined to be ideal, as this has the maximum energy storage given force and displacement limits. A graph-based topology selection, followed by shape optimization is conducted to select designs with energy storage most similar to the energy of the ideal constant force relation. The obtained CFM designs through this framework has a higher energy similarity index compared to typical designs from literature (0.95 versus 0.90). The constant force mechanisms developed through this study can be further applied in different robot/human–environment interfaces that benefit from both mitigating impact force and increasing energy storage.
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