课题基金 / 基金详情

Dynamic analysis and design of passive reluctance force dampers for non-contact vibration mitigation.

Dynamic analysis and design of passive reluctance force dampers for non-contact vibration mitigation.
用于非接触减振的被动磁阻力阻尼器的动态分析和设计。
批准号:
525002105
负责人:
Dr.-Ing. Sebastian Tatzko
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:

项目摘要

项目成果

Dr.-Ing. Sebastian Tatzko的其他基金

相似基金

相关文献

中文摘要
翻译
本计画的目的是研究机械结构之磁阻力阻尼器之非线性动力学特性。磁阻阻尼器连接到电网,其可用于影响阻尼行为。挑战在于非线性的整体响应,这已经在电阻和谐振电路的初步研究中进行了分析。根据迄今为止获得的知识,为该项目制定了以下目标。1.磁阻力阻尼器的响应是要调查的多谐振电路,压电和洛伦兹力传感器,多个振动模式的阻尼。2.基于静态有限元分析的磁路的集总元件模型将被开发用于有效的计算。3.系统方程的线性化是为了提供关系的分析视图,以便估计预期的阻尼行为。4.本文以单自由度和多自由度振动系统为对象,对不同回路的被动磁阻力阻尼器的非线性系统行为进行了数值分析。
英文摘要
The aim of this project is to investigate the nonlinear dynamics of reluctance force dampers for the vibration reduction of mechanical structures. The reluctance damper is connected to electrical networks, which can be used to influence the damping behavior. The challenge is the nonlinear overall response, which has already been analyzed in preliminary studies for resistive and resonant circuits. Based on the knowledge gained so far, the following objectives were formulated for this project. 1. The response of the reluctance force damper is to be investigated for multi-resonant circuits, comparable to piezoelectric and Lorentz force transducers, for the damping of multiple vibration modes. 2. A lumped-elements model of the magnetic circuit based on static finite-element analyses is to be developed for efficient computing. 3. Linearization of the system equations is to provide an analytical view of the relationships in order to estimate the expected damping behavior. 4. The nonlinear system behavior of passive reluctance force dampers with different circuits is to be analyzed numerically on single- and multiple-degree-of-freedom vibrational systems.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Automated nonlinear parameter variation for vibration optimization of structures with friction
Influencing the dynamic properties of weakly damped structures through systematic design of linear and non-linear metamaterials
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位:
利用全基因组关联分析和QTL-seq发掘花生白绢病抗性分子标记
基于SERS纳米标签和光子晶体的单细胞Western Blot定量分析技术研究
  • 批准号:
    31900571
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2019
  • 负责人:
    刘兵
  • 依托单位: