一种新的机器学习方法来量化表面粗度,并通过两点相关函数优化带合金
Mohamed Basyoni1,2,3, Yang Jiao1, Nageh K Allam4
1Materials Science and Engineering Department, Arizona State University, Tempe, AZ, USA.
Scientific reports
|August 17, 2023
概括
这项研究使用两点相关函数来量化酸电池的表面粗度,优化抗元件以减少腐蚀. 这种方法为在恶劣环境中延长材料寿命提供了解决方案.
科学领域:
- 材料科学 材料科学 材料科学
- 电化学 电化学 电化学
- 表面工程是什么?表面工程是什么?
背景情况:
- 表面粗性通过加速腐蚀和电荷损失,对材料寿命产生负面影响.
- 控制表面粗度对于汽车酸电池等应用至关重要.
- 造在带上的机器显著影响-合金表面粗度.
研究的目的:
- 使用两点相关函数量化表面粗度.
- 为了优化酸电池中的-柱和带.
- 为了减少高腐蚀性介质中的电化学腐蚀.
主要方法:
- 使用两点相关函数来表征表面微观结构.
- 对异质相关函数应用统计形态描述符.
- 采用模拟回火程序,以优化表面微型不规则.
主要成果:
- 成功表示和量化表面粗度.
- 证明了抗电池组件的优化. 抗电池组件的优化.
- 对表面分析的两点相关函数方法的验证.
结论:
- 两点相关函数对于量化和优化表面粗度是有效的.
- 这种方法可以减少酸电池中的电化学腐蚀.
- 这种方法在海底管道和激光切割等多个领域都有潜在的应用.
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