Dynamic Characteristics and Frequency Reliability Analysis of an Optimized Compliant Stroke Amplification Mechanism

Author:

Guo Fanyi1,Sun Zhili1,Zhang Shengnan1,Cao Runan1,Li Haiyang2

Affiliation:

1. Northeastern University School of Mechanical Engineering, and Automation, , Shenyang 110819 , China

2. Dalian University of Technology School of Automotive Engineering, , Dalian 116024 , China

Abstract

Abstract To rapidly analyze the dynamic characteristics of a compliant stroke amplification mechanism (CSAM) with completely distributed compliance, an analytical model based on the dynamic stiffness matrix with consideration of the damping effect is proposed. The natural frequency of the CSAM is optimized without attenuation of the amplification ratio based on this model. The optimized CSAM exhibits an approximately 112% higher natural frequency than the original mechanism along the main motion direction. The optimization result is verified through finite element simulation, with less than a 7% difference being observed. Moreover, the effects of frequency on the amplification ratio and input stiffness of the optimized CSAM are also discussed. The structural resonance is defined as the failure criterion of the optimized CSAM, and the sensitivity of the failure probability to manufacturing errors at different positions is analyzed. The findings show that the failure probability of the CSAM is more sensitive to parameters associated with the coordinates of the output stage and vertex.

Funder

National Natural Science Foundation of China

Publisher

ASME International

Subject

Mechanical Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3