研究基于修改的粒子过算法和疲劳裂增长性质的曲轴加速疲劳实验方法
Jiahong Fu1, Songsong Sun2, Xiaolin Gong2
1College of Engineering, Hangzhou City University, Hangzhou 310015, China.
Materials (Basel, Switzerland)
|February 13, 2026
概括
一种新方法使用修改后的颗粒过算法来预测曲轴疲劳寿命,大大缩短了测试时间. 这种方法提供了更少的数据准确的预测,帮助发动机设计.
科学领域:
- 机械工程 机械工程
- 材料科学 材料科学 材料科学
- 计算工程 计算工程
背景情况:
- 曲轴是内燃机中的关键部件,需要高强度来传输动力.
- 曲疲劳实验对于评估曲轴耐用性至关重要,但耗时.
- 准确预测剩余的疲劳寿命对于优化发动机设计和维护至关重要.
研究的目的:
- 提出一种新的曲动轴曲实验方法,以缩短测试时间.
- 开发一种改进的颗粒过算法,用于预测曲轴的剩余疲劳寿命.
- 通过潜在地规避漫长的实验,为曲轴设计提供理论指导.
主要方法:
- 一个新的曲轴曲实验设置被设计来缩短测试时间.
- 一个修改的颗粒过算法被开发和应用来预测疲劳寿命.
- 当满足准确性要求时,预测疲劳寿命数据取代了实验结果.
主要成果:
- 与传统方法相比,修改后的颗粒过算法在预测剩余疲劳寿命方面表现出更高的准确性.
- 拟议的方法需要较少的实验数据来可靠地预测疲劳寿命.
- 通过利用预测疲劳寿命,实验持续时间显著减少.
结论:
- 修改后的颗粒过算法为评估曲轴疲劳寿命提供了更有效,更准确的方法.
- 这种方法有可能取代传统的,耗时的曲疲劳实验.
- 这些发现为内燃机曲轴的设计过程提供了宝贵的理论指导.
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