主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2022, Vol. 47 ›› Issue (24): 124-128.DOI: 10.16638/j.cnki.1671-7988.2022.024.023

• 工艺装备 • 上一篇    

变刚度复合材料螺旋弹簧的刚度预测模型 及影响因素分析

李志虎，柯 俊，秦玉林，张 宁，张吉光，夏婉莹，严路平   

  1. 奇瑞汽车股份有限公司
  • 出版日期:2022-12-30 发布日期:2022-12-30
  • 通讯作者: 李志虎
  • 作者简介:李志虎（1979—），男，硕士，高级工程师，研究方向为新材料新技术相关的汽车产品开发。
  • 基金资助:
    安徽省重点研究与开发计划项目（202104a05020073）。

A Stiffness Prediction Model and Impact Analysis for Variable Stiffness Composite Material Helical Spring

LI Zhihu, KE Jun, QIN Yulin, ZHANG Ning, ZHANG Jiguang, XIA Wanying, YAN Luping   

  1. Chery Automobile Company Limited
  • Online:2022-12-30 Published:2022-12-30
  • Contact: LI Zhihu

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摘要： 变刚度复合材料螺旋弹簧，不仅具有极好的轻量化效果，还能通过刚度的变化，提升 整车的舒适性。目前变刚度复合材料螺旋弹簧的设计理论尚不完善，文章基于复合材料层合 板理论，结合螺旋弹簧变刚度的原理，建立了变刚度复合材料螺旋弹簧刚度预测模型。根据 变刚度复合材料螺旋弹簧的刚度预测模型，分析了各结构参数对刚度的影响灵敏度，其中结 构参数的影响力大小分别为簧丝半径＞中径＞有效圈数＞芯轴半径。文章推导的刚度预测模 型和影响灵敏度分析，可快速指导变刚度复合材料螺旋弹簧的结构设计。

关键词: 变刚度；复合材料；螺旋弹簧；刚度预测模型；结构设计

Abstract: Variable stiffness composite helical spring, not only has excellent lightweight effect, but also through the change of stiffness, improves the comfort of the vehicle. At present, the design theory of variable stiffness composite helical spring is not perfect, this paper based on the theory of composite laminates, combined with the principle of variable stiffness of helical spring, a stiffness prediction model of variable stiffness composite helical spring is established. Based on the stiffness prediction model of the variable stiffness composite helical spring, the sensitivity of the influence of the structural parameters on the stiffness is analyzed, among them, the influence of structure parameters on the radius of the spring wire > the middle diameter > the number of effective rings > the radius of the mandrel. The stiffness prediction model and influence sensitivity analysis derived in this paper can quickly guide the structural design of variable stiffness composite helical springs.

Key words: Variable stiffness; Composite material; Helical spring; Stiffness prediction model; Structural design