Simulation-LED Strategy for Corrosion Prevention
公司规模
1,000+
地区
- America
国家
- United States
产品
- COMSOL Multiphysics
- LiveLink for MATLAB
技术栈
- COMSOL Multiphysics
- MATLAB
- Orientation Imaging Microscopy (OIM)
实施规模
- Pilot projects
影响指标
- Cost Savings
- Environmental Impact Reduction
- Innovation Output
技术
- 分析与建模 - 数字孪生/模拟
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据可视化
适用行业
- 海洋与航运
- 运输
适用功能
- 维护
- 质量保证
用例
- 预测性维护
- 过程控制与优化
- 结构健康监测
服务
- 软件设计与工程服务
- 系统集成
关于客户
The Naval Research Laboratory (NRL) in Washington, D.C., is a premier research facility dedicated to advancing scientific knowledge and technological innovation for the U.S. Navy and Marine Corps. The NRL conducts cutting-edge research in various fields, including materials science, electronics, and environmental science. The laboratory's mission is to provide the Navy with the necessary scientific and technical expertise to maintain its technological edge. The NRL's research efforts are aimed at solving complex problems that impact national security and defense, including the prevention of corrosion, which is a significant maintenance issue for the Navy.
挑战
Corrosion is a significant issue costing billions annually, particularly affecting the transportation industry, including sea, air, and ground transport. The Naval Research Laboratory (NRL) is addressing this problem through fundamental research in corrosion science. The challenge lies in understanding the complex multiphysics problem of corrosion, especially pitting corrosion, which occurs due to electrochemical reactions and mass transport in an electrolyte solution. The irregular growth of corrosion pits due to the metal microstructure has not been adequately addressed in previous research. The goal is to develop new corrosion-resistant materials by understanding the microstructure-corrosion correlations.
解决方案
The NRL team, led by Siddiq Qidwai, has developed a comprehensive approach to model the growth of corrosion pits in metals within a seawater environment. This involves fully-coupled multiphysics modeling of pit growth under mechanical forces, taking into account the metal's microstructure. The team uses orientation imaging microscopy (OIM) to acquire 3D images of the metal microstructure, which are then incorporated into the COMSOL Multiphysics model. The pitting potential for different crystallographic orientations is determined using MATLAB and integrated into the COMSOL model to calculate the corrosion rate and advance the corrosion front. This innovative approach allows for a detailed understanding of the impact of microstructure on corrosion.
运营影响
数量效益
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