Evolution of Chemical Elements Degradation due to Corrosion in Metals
金属腐蚀导致化学元素降解的演变
基本信息
- 批准号:0505039
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-08-01 至 2010-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
TECHNICAL: Environmental damage in structural metals such as aluminum, titanium, and steel alloys, is a complex process, and presents a major problem in many engineering industries. A fundamental aspect of damage/failure mechanisms is that they usually initiate at the micro/nano-structural level and it is important to study the relationship between micro/nano-structures and mechanical properties. Currently, there is no precise understanding of the degradation of chemical elements at multiple scales and the relationship with mechanical properties and material integrity. Developing models and algorithms is essential for exploring degradation caused by a variety of chemical elements, and their interplay at multiple levels. The overall goal of the proposed project is to identify the degradation of various chemical elements during the corrosion process. Controlled experiments, analytical microscopy techniques, and computational intelligence models will be developed to analyze and interpret the evolution of damage and the integrity of the material. The intellectual merit of the proposed research stems from integrating the "Multiscale Computational Intelligence Models" approach with experimental validation and simulations. It offers a unique and novel way to design in a seamless fashion multi-functional materials for specific environmental conditions. Synthesizing new materials guided by chemical elements degradation has the potential to develop a new generation of multifunctional materials. NON-TECHNICAL: The broad impact of this proposed research will provide valuable basic developments in new materials technology tools and also make key contributions to the growing area of development of multi-functional metals for a variety of technologies in aerospace, civil, and heavy machinery fields. Potential applications of such materials include smart metals, and self-regulating metals. The research also provides an environment for developing state-of-the-art metal degradation methodology for further dissemination and applications. The benefits to society may include the development of chemically tailored metals for a variety of every day engineering applications. Overall, the proposed research will greatly advance existing computational techniques by capturing and linking micro- and nano-scale material/structural information in a multidisciplinary fashion and leading to the development of intelligent metals for a variety of engineering applications. The students including from underrepresented groups involved in the project will be encouraged to present their results in meetings, open houses, and lab tours to promote and to attract their fellow students into this exciting technology. The models/algorithms developed through this project will be directly used in materials, modeling, and simulation courses. Outreach activities with high school students are also planned during the course of the project.
技术:结构金属(如铝、钛和合金钢)的环境破坏是一个复杂的过程,是许多工程行业面临的主要问题。损伤/破坏机制的一个基本方面是它们通常起源于微/纳米结构水平,研究微/纳米结构与力学性能之间的关系具有重要意义。目前,对化学元素在多尺度上的降解及其与力学性能和材料完整性的关系还没有精确的认识。开发模型和算法对于探索由各种化学元素引起的降解及其在多个层面上的相互作用至关重要。拟议项目的总体目标是确定腐蚀过程中各种化学元素的降解。控制实验、分析显微镜技术和计算智能模型将被开发来分析和解释损伤的演变和材料的完整性。所提出的研究的智力价值源于将“多尺度计算智能模型”方法与实验验证和模拟相结合。它提供了一种独特而新颖的方式,以无缝的方式设计适用于特定环境条件的多功能材料。以化学元素降解为指导合成新材料具有开发新一代多功能材料的潜力。非技术:本研究的广泛影响将为新材料技术工具提供有价值的基础发展,并为航空航天、民用和重型机械领域各种技术的多功能金属的发展做出关键贡献。这种材料的潜在应用包括智能金属和自我调节金属。这项研究还为发展最先进的金属降解方法提供了一个环境,以便进一步推广和应用。对社会的好处可能包括为各种日常工程应用开发化学定制金属。总的来说,该研究将以多学科的方式捕获和连接微纳米尺度的材料/结构信息,从而极大地推进现有的计算技术,并导致智能金属的发展,用于各种工程应用。参与该项目的学生,包括来自代表性不足群体的学生,将被鼓励在会议、开放日和实验室参观中展示他们的成果,以促进和吸引他们的同学参与这项令人兴奋的技术。通过该项目开发的模型/算法将直接用于材料、建模和仿真课程。在项目过程中,还计划与高中生开展外展活动。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ramana Pidaparti其他文献
Fostering innovation through bio-inspired projects in engineering design education
通过工程设计教育中的仿生项目促进创新
- DOI:
10.1017/pds.2024.297 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Jacquelyn K. S. Nagel;Ramana Pidaparti - 通讯作者:
Ramana Pidaparti
A GAN-based stepwise full-field mechanical prediction model for architected metamaterials
基于生成对抗网络的结构化超材料逐步全场力学预测模型
- DOI:
10.1016/j.ijmecsci.2024.109771 - 发表时间:
2024-12-15 - 期刊:
- 影响因子:9.400
- 作者:
Yujie Xiang;Jixin Hou;Xianyan Chen;Ramana Pidaparti;Kenan Song;Keke Tang;Xianqiao Wang - 通讯作者:
Xianqiao Wang
Ramana Pidaparti的其他文献
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