U.S. France Cooperative Research: Numerical Methods and Parallel Algorithms for Advanced Applications in Materials Preparation Process Modelling

美法合作研究：材料制备过程建模高级应用的数值方法和并行算法

• 批准号: 9217212
• 负责人: J Iwan Alexander
• 金额: $ 1.24万
• 依托单位: University of Alabama in Huntsville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-03-01 至 1996-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9217212&HistoricalAwards=false
• 关键词: U.S.; France; Cooperative; Research; Numerical

This two-year award supports U.S.-France cooperative research in numerical methods and parallel algorithms in materials processing. The investigators are J. Iwan D. Alexander of the University of Alabama, Patrick Bontoux and Jalil Ouazzani of the Institute for Fluid Mechanics in Marseille, France. The objective of the research is to integrate parallel computing strategies with computational problems in materials processing. The investigators will identify and develop techniques and algorithms with which to solve materials processing models. Then they will apply the methods to crystal growth and transport processes in other fluid systems. The research focuses on developing new predictive models. Current numerical methods and models are limited and large computation times are required to produce meaningful solutions. The results of this research will advance predictive capabilities in materials processing, in particular, for highly complex processing situations. Dr. Alexander brings to this collaboration his expertise with materials process modeling and techniques. The code development requirements will be significantly strengthened by the considerable expertise of the French investigators in this area and in fluid dynamics. The investigators complementary expertise provides a sound basis for the collaboration.

这个为期两年的奖项支持美国-法国合作研究 在材料的数值方法和并行算法 处理. 调查人员是J. Iwan D。亚历山大 亚拉巴马大学的帕特里克·邦图和贾利勒·瓦扎尼 法国马赛流体力学研究所。 客观 研究的重点是将并行计算策略与 材料加工中的计算问题。 的 研究人员将确定和开发技术和算法， 用它来求解材料加工模型。 然后他们会 将该方法应用于晶体生长和传输过程， 其他流体系统。 研究重点是开发新的 预测模型目前的数值方法和模型是 需要有限的和大量的计算时间来产生 有意义的解决方案。 这项研究的结果将推动 材料加工的预测能力，特别是 非常复杂的处理情况。 亚历山大博士带来了他的专业知识， 材料过程建模和技术。 代码 发展需求将大大加强， 法国调查人员在这方面的专业知识 和流体动力学。调查人员补充专业知识 为合作奠定了坚实的基础。