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考虑Miner线性累计损伤的卷绕头疲劳寿命预测

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  • NETL
  • NSTL
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  • 维普
纺织机卷绕头长期振动会产生零件损伤,这种振动损伤会形成线性积累,当前方法对卷绕头的疲劳损伤以固定阈值为主,未考虑损伤积累问题,所以难以准确预测卷绕头的疲劳寿命.因此提出基于Miner线性累计损伤的纺织机卷绕头疲劳寿命预测方法.分析纺织卷绕头的主要结构,并从轴段单元、刚性盘、机匣、支承部件四方面出发,构建卷绕头整体的动力学方程.构建振动方程明确卷绕头的振动受力,结合Miner线性累计损伤理论,构建高速卷绕头的疲劳寿命预测函数,完成纺织机卷绕头疲劳寿命的预测.实验结果表明:这种估计方法的疲劳强度损失值与实际值更为接近,振动位移分析结果更加精准,且疲劳寿命预测误差降低,平均误差仅为1.475%.
Fatigue Life Prediction Method for Textile Machine Winding Heads Based on Miner Linear Cumulative Damage
Long term vibration of the winding head of a textile machine can cause component damage,which can form linear ac-cumulation.The current method mainly focuses on fixed thresholds for fatigue damage of the winding head,without considering the issue of damage accumulation,making it difficult to accurately predict the fatigue life of the winding head.Therefore,a fa-tigue life prediction method for textile machine winding heads based on Miner linear cumulative damage is proposed.Analyze the main structure of the textile winding head and construct the overall dynamic equation of the winding head from four aspects:shaft segment unit,rigid disc,gearbox,and support components.Construct a vibration equation to clarify the vibration force on the winding head,and combine Miner'slinear cumulative damage theory to construct a fatigue life prediction function for high-speed winding heads,completing the prediction of the fatigue life of textile machine winding heads.The experimental results show that the fatigue strength loss value of this estimation method is closer to the actual value,the vibration displacement analy-sis results are more accurate,and the fatigue life prediction error is reduced,with an average error of only1.475%.

Miner Linear Cumulative DamageTextile Machine Winding HeadFatigue Life PredictionShaft Segment UnitKinetic Equation

张曦、刘金涛、王基月、范锐冰

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郑州科技学院机械工程学院,河南 郑州 450064

郑州科技学院车辆与交通学院,河南 郑州 450064

东华大学机械工程学院,上海 201620

Miner线性累计损伤 纺织机卷绕头 疲劳寿命预测 轴段单元 动力学方程

2023年度河南省高等学校重点科研项2022年度河南省重点研发与推广专项(科技攻关)2021年度河南省高等教育教学改革研究与实践项目2022年郑州科技学院科技攻关项目2022年郑州科技学院重点教改项目

23B4600112221022200512021SJGLX6122022XJKY052022JGZD03

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子：0.511
ISSN：1001-3997
年,卷(期)：2024.395(1)
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