Collaborative Research: Models, algorithms, simulations and applications for dendritic solidifications of two-phase multi-component alloys in the mushy zone

合作研究：糊状区两相多组分合金枝晶凝固的模型、算法、模拟和应用

• 批准号: 2309732
• 负责人: Pengtao Yue
• 金额: $ 21.68万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2309732&HistoricalAwards=false
• 关键词: Collaborative; Research; Models; algorithms; simulations

Alloys, typically formed by solidifying a molten mixture of multiple metal and non-metal components, find extensive applications in various fields and are vital to our economy. Unlike pure metals, solidification of alloys occurs in a mushy zone where phase change, solution diffusion, thermal diffusion, volume change, and melt convection interact and strongly influence the mechanical, physical, and chemical properties of the solidified alloy. This project aims to develop mathematical models and numerical algorithms for the solidification process in the mushy zone. The numerical results will advance the understanding on the complex physical processes in the mushy zone and provide guidance to the design of alloys with desirable properties. The team of PIs consists of the three researchers from three different institutions, where training of graduate students on the topics of the project is expected. This research project focuses on mathematical modeling, algorithm development and analysis, numerical simulations, and engineering applications of dendritic solidification of two-phase multi-component alloys in the mushy zone. The investigators will address these challenging problems numerically with the following goals: (i) to develop a general two-phase multi-component phase-field model for the solidification of alloys in the mushy zone, with the consideration of thermal diffusion, solute diffusion, convection, density variation, and energy law; (ii) to develop and analyze efficient, easy-to-implement, and energy-stable numerical schemes to accurately capture the solidification dynamics; and (iii) to perform numerical simulations to validate the models and numerical schemes, and further study physically motivated problems. The obtained modeling and numerical tools allow the investigators to simulate relevant physical problems of practical interest in a variety of applications due to the wide applicability of the models and algorithms.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

合金，通常通过固化多种金属和非金属成分的熔融混合物形成，在各个领域有着广泛的应用，对我们的经济至关重要。与纯金属不同，合金的凝固发生在糊状区，其中相变、溶液扩散、热扩散、体积变化和熔体对流相互作用并强烈影响凝固合金的机械、物理和化学性质。本计画旨在发展糊状区凝固过程之数学模型与数值演算法。数值模拟结果将有助于加深对两相区复杂物理过程的理解，并为合金性能的设计提供指导。PI团队由来自三个不同机构的三名研究人员组成，预计将对研究生进行项目主题的培训。该研究项目的重点是两相多组分合金在糊状区枝晶凝固的数学建模，算法开发和分析，数值模拟和工程应用。研究人员将解决这些具有挑战性的问题数值与以下目标：（i）发展一个通用的两相多组分相场模型的合金凝固在糊状区，考虑热扩散，溶质扩散，对流，密度变化，和能量定律;（ii）开发和分析高效、易于实施和能量稳定的数值方案，以准确地捕捉凝固动力学;以及（iii）进行数值模拟以验证模型和数值方案，并进一步研究物理激发的问题。由于模型和算法的广泛适用性，所获得的建模和数值工具使研究人员能够模拟各种应用中实际感兴趣的相关物理问题。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。