应用中的DRAGen - - 非定向电气钢板微结构疲劳预测的方法
Manuel Henrich1, Sebastian Münstermann1
1Institute of Metal Forming, RWTH Aachen University, Intzestraße 10, 52072 Aachen, Germany.
Materials (Basel, Switzerland)
|June 19, 2024
概括
这项研究验证了一种模型,用于预测循环负荷下电气钢板的疲劳寿命. 积累的塑料滑动与疲劳有准确的相关性,改善了结构耐用性的预测.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 计算力学 计算力学 计算力学
背景情况:
- 非定向电气钢板在各种工业应用中至关重要.
- 了解它们在循环负荷下的疲劳寿命对于结构完整性至关重要.
- 现有的模型可能无法完全捕捉不同负载条件下的复杂行为.
研究的目的:
- 调查非定向电气钢板的循环负荷场景.
- 开发和验证疲劳寿命的预测模型.
- 探索积累的塑料滑落在疲劳寿命预测中的作用.
主要方法:
- 在循环负荷下对钢板进行实验测试.
- 使用DRAGen.生成的代表体积元素 (RVE) 进行数值模拟.
- 使用实验数据对疲劳预测模型进行校准和验证.
主要成果:
- 通过DRAGen,可以生成非立方RVE,以捕捉材料质地和板厚.
- 积累的塑料滑落被确定为与疲劳寿命相关的关键参数.
- 建立了一个经过验证的疲劳骨折位置,使可靠的疲劳寿命预测成为可能.
结论:
- 该研究提出了一种经过验证的模型,用于预测电气钢板的疲劳寿命.
- 该模型在多个疲劳应力比率中显示出可靠的性能.
- 需要进一步的研究,以纳入表面质量效应,以提高模拟准确度.
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