CAREER: Simulating the Evolution of Advanced Microstructure

9703044王这是一个职业生涯补助金给一个新的教师。 在这项研究中，将开发先进的模拟技术，并用于研究高温氧化物基传感器材料、纳米结构陶瓷复合材料和钛基金属间化合物合金热处理过程中复杂微观结构的形成和演变。 该研究应揭示微观结构发展的基本机制，形态和动力学;提供一种方法来预测加工过程中微观结构的形成;并提出新的加工方案，以提高材料性能的广泛应用。 所使用的方法是非线性模式动力学的现场计算方法。 拟议的研究将成为本科生和研究生阶段新课程的基础，学生可以设计合金，并了解加工过程中微观结构如何演变以及它如何决定材料性能。 该课程将嵌入万维网和光盘技术。 %这是一个职业生涯补助金给一个新的教师。 在这项研究中，将开发先进的模拟技术，并用于研究高温氧化物基传感器材料、纳米结构陶瓷复合材料和钛基金属间化合物合金热处理过程中复杂微观结构的形成和演变。 该研究应揭示微观结构发展的基本机制，形态和动力学;提供一种方法来预测加工过程中微观结构的形成;并提出新的加工方案，以提高材料性能的广泛应用。 所使用的方法是非线性模式动力学的现场计算方法。 拟议的研究将成为本科生和研究生阶段新课程的基础，学生可以设计合金，并了解加工过程中微观结构如何演变，以及它如何决定材料性能。 该课程将嵌入万维网和光盘技术。 ***

9703044 Wang This is a CAREER grant to a new faculty member. In the research component advanced simulation techniques will be developed and used to study the formation and evolution of complex microstructures during thermal processing of high- temperature oxide-based sensor materials, nanostructured ceramic composites and titantium-based intermetallic alloys. The research should reveal the fundamental mechanisms, morphology and kinetics of the microstructure development; provide a means to predict microstructure formation during processing; and suggest novel processing schedules to improve material performance for a wide range of applications. The methodology to be used is the field computational approach to nonlinear pattern dynamics. The proposed research will form the basis of new courses at the undergraduate and graduate level in which students can design alloys and see how microstructure evolves during processing and how it determines materials properties. The course will be embedded in world-wide web and CD-ROM technology. %%% This is a CAREER grant to a new faculty member. In the research component advanced simulation techniques will be developed and used to study the formation and evolution of complex microstructures during thermal processing of high- temperature oxide-based sensor materials, nanostructured ceramic composites and titantium-based intermetallic alloys. The research should reveal the fundamental mechanisms, morphology and kinetics of the microstructure development; provide a means to predict microstructure formation during processing; and suggest novel processing schedules to improve material performance for a wide range of applications. The methodology to be used is the field computational approach to nonlinear pattern dynamics. The proposed research will form the basis of new courses at the undergraduate and graduate level in which students can design alloys and see how microstructure evolves during processing and how it dete rmines materials properties. The course will be embedded in world-wide web and CD-ROM technology. ***