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International Workshop on Predictive Modelling of Composite Materials

复合材料预测建模国际研讨会

基本信息

批准号：
0622381
负责人：
Young Kwon
金额：
$ 3.22万
依托单位：
Naval Postgraduate School
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2006
资助国家：
美国
起止时间：
2006-10-01 至 2008-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0622381&HistoricalAwards=false
关键词：
International Workshop Predictive Modelling Composite

项目摘要

ABSTRACTInternational Workshop on Predictive Modelling of Composite MaterialsProject Summary, NSF Proposal # CMS-0622381 The essence of the Meeting through the presentation of plenary papers only and specialized workshops, is the identification and subsequent avoidance of all conceivable sources of weakness at the nano and micron level of material architecture; and when coupled with methods of predictive design to the complete prevention of misfortune of composite structure metres in length. Attention focuses on how to optimize designed microstructures, nano-architectural materials, MEMS and smart materials, and information technology materials. Reporting on observed phenomena and presenting critical measured experimental data, making links between compatible modeling techniques and predicting behavior are vital ingredients to a successful totally integrated material/structure design methodology. Built into physical models will be those essential processing variables that lead to new and innovative fabrication methods. Bringing together key academicians with partners in the aerospace and related industries, for example, will significantly improve the basis for testing, evaluation and certification methodologies, thereby unlocking the timely opportunities in scientific achievement and new product introduction in aerospace.

复合材料预测模型国际研讨会（International Workshop on Predictive Modelling of Composite Materials）项目摘要，NSF Proposal # CMS-0622381会议的实质是通过全体会议论文和专门研讨会的介绍，识别并随后避免材料结构的纳米和微米水平上所有可能的弱点来源;并结合预测设计方法，完全预防米长组合结构的事故。重点关注如何优化设计的微结构，纳米建筑材料，MEMS和智能材料，以及信息技术材料。报告观察到的现象，并提出关键的测量实验数据，使兼容的建模技术和预测行为之间的联系是一个成功的完全集成的材料/结构设计方法的重要组成部分。物理模型中内置的将是那些导致新的和创新的制造方法的基本加工变量。例如，将主要学者与航空航天和相关行业的合作伙伴聚集在一起，将大大改善测试、评估和认证方法的基础，从而及时释放航空航天领域科学成就和新产品引进的机会。