约翰逊-库克构成模型的参数优化用于单磨粒微切模拟:基于横向材料位移分析的新方法
Łukasz Rypina1, Dariusz Lipiński1, Robert Tomkowski2
1Department of Mechanical Engineering, Faculty of Mechanical and Energy Engineering, Koszalin University of Technology, Racławicka 15, 75-620 Koszalin, Poland.
Materials (Basel, Switzerland)
|December 31, 2025
概括
这项研究优化了Johnson-Cook (J-C) 构成模型的微研磨,使用微切割实验和有限元模拟. 新的J-C模型参数准确地预测了极端条件下的材料行为,改善了精密制造.
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
- 计算力学 计算力学 计算力学
背景情况:
- 准确的构成方程对于建模研磨过程中的材料去除至关重要.
- 传统的机械测试方法对于超出10^5s^-1的延展率是有限的,这在微型研磨中很常见.
- 约翰逊-库克 (J-C) 模型需要精确的参数化,以适应极端应变率条件.
研究的目的:
- 开发和验证一种用于优化微研磨的J-C构成模型参数的新方法.
- 解决现有方法在高拉伸率下表征材料行为的局限性.
- 为参数识别提供动态测试的经济有效的替代方案.
主要方法:
- 单个磨砂粒微切实验使用一个钻石维克斯入器在合金7075-T6.6上进行.
- 高分辨率的地形测量分析了划痕几何和材料移位.
- 有限元模拟评估了十个修改的J-C模型变体,重点关注塑料强化和应变率灵敏度参数,使用定量不符合性标准.
主要成果:
- 优化的J-C模型参数 (A3变体) 与基线模型相比,显著改善了实验和模拟结果之间的一致性.
- 优化模型减少了不合规性标准 (ΣkA = 0.46, ΣkK = 1.16) 并显示了1~14% (左) 和7~60% (右) 的缩误差.
- 应变映射证实了大变形值 (ε = 0.8 到 11),验证了需要覆盖广泛应变范围的模型的需求.
结论:
- 拟议的方法成功地优化了微型研磨应用的J-C模型参数,优于常规参数.
- 经过验证的模型准确地捕捉了在极端应变速率和与研磨相关的大变形下材料的行为.
- 这种方法为精密制造中的构成模型开发提供了实用和经济的解决方案.
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