在随机振动下预测和优化复合储存容器的长期疲劳寿命
Xiaoshuang Xiong1,2, Wentao Wang2, Xiang Li3
1Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan 430200, China.
Materials (Basel, Switzerland)
|February 13, 2025
概括
这项研究优化了复合储存容器 (CHSV),使其能够承受随机振动,显著减少压力,并延长更安全的燃料电池车辆的疲劳寿命.
科学领域:
- 材料科学与工程 材料科学与工程
- 机械工程 机械工程
- 汽车工程 汽车工程
背景情况:
- 复合储容器 (CHSV) 对燃料电池车辆至关重要.
- 这些船只容易因随机运输振动而导致疲劳故障和使用寿命缩短.
- 了解和减轻振动引起的压力对于CHSV的耐用性至关重要.
研究的目的:
- 通过实验和数值研究在振动下CHSV的自由和受约束模式.
- 模拟随机振动以预测应力分布和疲劳寿命.
- 优化CHSV层参数,以提高应力分布和疲劳寿命.
主要方法:
- 实验模式分析和数值模拟 (有限元分析 - FEA) 的CHSV.
- 使用斯坦伯格和迪尔利克的方法来预测疲劳寿命的随机振动模拟.
- 优化复合绕层层的参数.
主要成果:
- 对于CHSV振动模式的FEA和实验结果显示出很好的一致性 (最大差异为8.9%).
- 优化的层参数将最大应力降低了66% (卷轴层) 和85% (内层).
- 优化的CHSV实现了超过1×107周期 (高周期疲劳) 的疲劳寿命.
结论:
- 经过验证的FEA模型准确地预测了CHSV的振动和疲劳寿命.
- 层参数的优化显著提高了CHSV对随机振动的抵抗力.
- 该研究为设计燃料电池车辆的耐用CHSV提供了宝贵的指导.
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