Theoretical Understanding of Porosity-Induced Mechanisms during Solidification of Cast Alloys and their Influence on Process-Structure-Property Correlations
Theoretical Understanding of Porosity-Induced Mechanisms during Solidification of Cast Alloys and their Influence on Process-Structure-Property Correlations
批准号:
1662854
负责人:
Tonya Stone
金额:
$38.67万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-01 至 2022-07-31
中文摘要
铸造是一种将液态金属倒入模具中,然后冷却和凝固的过程。铸造合金用于许多不同的应用,从汽车部件到航空航天部件。在凝固过程中产生的孔隙率长期以来被认为是限制铸造合金机械性能的关键因素,特别是在导致“疲劳”行为的重复使用下。通过铸造设计和凝固过程的优化相结合,有一种强烈的驱动力,使孔隙率最小化。为了实现这一目标,有必要对孔隙形成、生长和流动性的基本物理特性及其对疲劳的影响以及增强的预测能力进行基本了解。本研究通过在多个长度尺度上对处理和行为进行理论和计算建模来满足这些需求。这项研究的结果将导致时间和成本效益的设计和优化过程,汽车,航空航天和其他行业可以利用,以获得更好的合金和合金部件。这项研究的特点是基于材料科学,制造和计算力学的协同方法,这将使研究生接触到更广泛的概念和技能。积极的重点将是确保参与研究的代表性不足的本科生和外联高中学生将努力激发兴趣工程教育从早期的年龄。这项研究的目标是获得一个基本的了解机制,支配孔隙成核,生长,以及定向凝固过程中的迁移,并利用这种理解来确定铸造合金中的工艺-组织-性能关系。这一目标将完成现有的凝固实验数据的分析和解释的基础上,使用理论和计算工具。控制孔隙形核(凝固收缩和氢偏析),生长(氢扩散,凝固前沿生长和枝晶生长)和迁移(浮力和热毛细效应)的竞争和贡献机制将被理论化和建模。多尺度计算框架,这将包括一个发达的相场模型和现有的内部状态变量模型结合第一性原理计算,晶体塑性,和有限元方法,将使在多个长度尺度的凝固过程的现象学解释。累积的本构描述,然后将被用来开发过程-结构-性能的相关性。
英文摘要
Casting is a process in which liquid metal is poured into a mold and then allowed to cool and solidify. Cast alloys are used in many diverse applications, ranging from automotive parts to aerospace components. Porosity that arises during the solidification process has long been recognized as a critical factor in limiting the mechanical performance of cast alloys, especially under repetitive use that results in "fatigue" behavior. There is a strong drive towards minimizing porosity through a combination of casting design and optimization of the solidification process. To achieve that, a fundamental understanding of the underlying physics of porosity formation, growth and mobility and its impact on fatigue, and an enhanced predictive capability become necessary. This research addresses these needs through theoretical and computational modeling of processing and behavior at multiple length scales. Results from this research will lead to time- and cost-effective design and optimization processes that automotive, aerospace, and other industries can utilize to obtain better alloys and alloy components. This research features a synergistic approach based on materials science, manufacturing, and computational mechanics, which will expose graduate students to broader concepts and skills. Active focus will be given to ensure participation of underrepresented undergraduate students in research and outreach to high school students will strive to inspire interest in engineering education from an early age.The objective of this research is to acquire a fundamental understanding of the mechanisms that govern porosity nucleation, growth, and migration during directional solidification process and employ that understanding to identify process-structure-property relations in cast alloys. This objective will be accomplished based on analysis and interpretation of existing solidification experimental data using theoretical and computational tools. Competing and contributing mechanisms that control porosity nucleation (solidification shrinkage and hydrogen segregation), growth (hydrogen diffusion, solidification front grow, and dendritic growth), and migration (buoyancy and thermocapillary effects) will be theorized and modeled. The multiscale computational framework, which will consist of a developed phase-field model and an existing internal state variable model combined with first-principles calculations, crystal plasticity, and the finite element method, will enable a phenomenological interpretation of the solidification process at multiple length scales. The accumulated constitutive descriptions will then be used to develop process-structure-property correlations.
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Investigating the Precipitation Kinetics and Hardening Effects of γ” in Inconel 625 Using a Combination of Meso-Scale Phase-Field Simulations and Macro-Scale Precipitate Strengthening Calculations
结合细观尺度相场模拟和宏观尺度析出强化计算研究 Inconel 625 中 γ 的析出动力学和硬化效应
DOI:
10.1115/imece2020-23328
发表时间:
2020
期刊:
Proceedings of the ASME 2020 International Mechanical Engineering Congress and Exposition
影响因子:
--
作者:
[Yenusah, Caleb O., Ji, Yanzhou, Liu, Yucheng, Stone, Tonya W., Horstemeyer, Mark F., Chen, Lei]
通讯作者:
Chen, Lei
DOI:
10.1007/s11665-018-3620-3
发表时间:
2018-08
期刊:
Journal of Materials Engineering and Performance
影响因子:
2.3
作者:
[X. Wang;P. Liu;Yi Ji;Y. Liu;M. H. Horstemeyer;L. Chen]
通讯作者:
X. Wang;P. Liu;Yi Ji;Y. Liu;M. H. Horstemeyer;L. Chen
A Data-Driven Approach for Process Optimization of Metallic Additive Manufacturing Under Uncertainty
DOI:
10.1115/1.4043798
发表时间:
2019-06
期刊:
Journal of Manufacturing Science and Engineering
影响因子:
--
作者:
[Zhuo Wang;Pengwei Liu;Yaohong Xiao;X. Cui;Zhen Hu;Lei Chen]
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Zhuo Wang;Pengwei Liu;Yaohong Xiao;X. Cui;Zhen Hu;Lei Chen
An Integrated Model for Prediction of Process-Structure-Property Relationship for Additively Manufactured Al-10Si-Mg Alloy
增材制造 Al-10Si-Mg 合金工艺-组织-性能关系集成预测模型
DOI:
10.4271/2020-01-1075
发表时间:
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期刊:
SAE Technical Paper Series
影响因子:
--
作者:
[Yang, Wenhua, Wang, Zhuo, Yenusah, Caleb, Liu, Yucheng]
通讯作者:
Liu, Yucheng
DOI:
10.1016/j.jmatprotec.2018.11.045
发表时间:
2019-05
期刊:
Journal of Materials Processing Technology
影响因子:
6.3
作者:
[Y. Xiao;P. Liu;Z. Wang;Y. Wang;K. Feng;L. Chen]
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Y. Xiao;P. Liu;Z. Wang;Y. Wang;K. Feng;L. Chen
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批准号:1734814
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项目类别:Standard Grant
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资助金额:$21.74万
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