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惯性开关响应的理论分析与数值模拟研究

Theoretical Analysis and Numerical Simulation Research on the Response of Inertial Switches.

作者信息

Cui Shaokang, Hao Jiachen, Wang Sen, Wu Fukai, Xu Pengzhao

机构信息

Xi'an Institute of Electromechanical Information Technology, Xi'an 710065, China.

School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.

出版信息

Micromachines (Basel). 2025 Apr 13;16(4):459. doi: 10.3390/mi16040459.

DOI:10.3390/mi16040459
PMID:40283334
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12029180/
Abstract

This paper focuses on inertial switches, which are vital in multiple fields. A theoretical analysis model based on the spring-mass model was proposed, aiming to acquire the mechanical performance of the inertial switch under different loading conditions and reveal the influence of design parameters on its dynamic response. Moreover, a numerical simulation model was established using ADAMS 2019 software. Through a series of orthogonal simulations, the effects of the overload peak value and pulse width on the switch's characteristics were studied. The comparison between theoretical predictions and numerical results shows good agreement. Furthermore, based on numerical results, binary phase diagrams of the peak value and pulse width were obtained, determining the critical curves involving the overload peak value and pulse width, which provides guidance for the design of inertial switches.

摘要

本文聚焦于惯性开关,其在多个领域至关重要。提出了一种基于弹簧 - 质量模型的理论分析模型,旨在获取不同加载条件下惯性开关的力学性能,并揭示设计参数对其动态响应的影响。此外,使用ADAMS 2019软件建立了数值模拟模型。通过一系列正交模拟,研究了过载峰值和脉冲宽度对开关特性的影响。理论预测与数值结果的比较显示出良好的一致性。此外,基于数值结果,获得了峰值和脉冲宽度的二元相图,确定了涉及过载峰值和脉冲宽度的临界曲线,这为惯性开关的设计提供了指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/14f1fc9e4f93/micromachines-16-00459-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/78e023026cb3/micromachines-16-00459-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/c41871d069eb/micromachines-16-00459-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/5eac32b56efa/micromachines-16-00459-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/f0c0a18ddd2e/micromachines-16-00459-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/efd674a05814/micromachines-16-00459-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/5f8e65344cc2/micromachines-16-00459-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/04203a0d1294/micromachines-16-00459-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/529b8bcc2391/micromachines-16-00459-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/084b0a2b33af/micromachines-16-00459-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/14f1fc9e4f93/micromachines-16-00459-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/78e023026cb3/micromachines-16-00459-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/c41871d069eb/micromachines-16-00459-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/5eac32b56efa/micromachines-16-00459-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/f0c0a18ddd2e/micromachines-16-00459-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/efd674a05814/micromachines-16-00459-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/5f8e65344cc2/micromachines-16-00459-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/04203a0d1294/micromachines-16-00459-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/529b8bcc2391/micromachines-16-00459-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/084b0a2b33af/micromachines-16-00459-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7be3/12029180/14f1fc9e4f93/micromachines-16-00459-g010.jpg

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