Collaborative Research: Accurate Prediction of Phase Stability for Chemistry and Process Design of Ni-based Superalloys

合作研究：准确预测镍基高温合金化学和工艺设计的相稳定性

• 批准号: 2004979
• 负责人: Ji-Cheng Zhao
• 金额: $ 24.96万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2004979&HistoricalAwards=false
• 关键词: Collaborative; Research; Accurate; Prediction; Phase

Nickel-based superalloys have a number of critical applications relevant to the US economy and national defense, including commercial and military jet engines, gas turbines, and power generators. These materials can operate at relatively high temperatures, but often are limited in their application by their poor performance at the highest operating temperatures. In order to design superalloys that can withstand ever increasing temperatures, it is necessary first to understand what happens at the microscopic level in these alloys. This award supports fundamental research to understand the microscopic processes that control superalloy behavior at high temperatures, and the development of robust computational tools to predict this behavior and design high-performance materials. The approach takes advantage of a unique high-throughput approach to experimental characterization, coupled with a data-driven computational approach to enable the calculation of phase stability in these superalloys. This project will educate next-generation materials scientists and engineers with strong materials processing expertise and both computational and experimental skills to better serve the U.S. manufacturing industry.The overall objective of this research is to establish a new paradigm for reliable and effective assessments of the thermodynamic stability of intermetallic phases during process. This objective will be achieved by: 1) performing high-throughput first-principles calculations of sublattice stabilities and atomic interaction energetics in individual sublattices of the complex topological close-packed (TCP) phases with multiple sublattices (Wyckoff sites) that cannot be directly measured experimentally; 2) exploring innovative and systematic strategies to enable facile incorporation of first-principles results into calculation of phase diagrams ; 3) making high-throughput diffusion multiples to obtain reliable phase diagrams of ternary systems critical to TCP phase stability evaluation, and employing the data to optimize the Gibbs energy parameters of the phases; and 4) expanding the infrastructure capabilities to seamlessly use both first-principles calculation results and experimental data to perform high-throughput phase diagram calculations, including uncertainty quantifications. In addition to establishing a new paradigm in phase diagram modeling, the outcomes of this study include valuable phase diagrams of important ternary systems obtained from diffusion multiples, and a set of reliable Gibbs energy functions for the TCP phases modeled from both experimental phase diagrams and density functional theory (DFT) predictions that can be incorporated into thermodynamic databases for Ni-based superalloys.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.

镍基高温合金具有许多与美国经济和国防相关的关键应用，包括商用和军用喷气发动机、燃气轮机和发电机。这些材料可以在相对较高的温度下工作，但在最高工作温度下性能不佳往往限制了它们的应用。为了设计能够承受不断升高的温度的高温合金，有必要首先了解这些合金在微观层面上发生了什么。该奖项支持基础研究，以了解高温下控制高温合金行为的微观过程，并支持开发强大的计算工具来预测这种行为并设计高性能材料。该方法利用一种独特的高通量实验表征方法，结合数据驱动的计算方法来计算这些高温合金中的相稳定性。该项目将培养具有强大的材料加工专业知识以及计算和实验技能的新一代材料科学家和工程师，以更好地服务于美国制造业。本研究的总体目标是建立一种新的范例，用于可靠和有效地评估过程中金属间化合物相的热力学稳定性。这一目标将通过以下方式实现：1)高通量地对具有多个子晶格(Wyackoff位)的复杂拓扑密排(TCP)相的子晶格稳定性和原子相互作用能量学进行高通量第一性原理计算；2)探索创新和系统的策略，使第一性原理结果能够方便地结合到相图计算中；3)进行高通量扩散倍增，以获得对TCP相稳定性至关重要的三元体系可靠的相图，并利用这些数据优化相的Gibbs能量参数；4)扩展基础设施的能力，无缝地使用第一性原理计算结果和实验数据来执行高通量相图计算，包括不确定性量化。除了在相图建模中建立新的范例，这项研究的结果还包括从扩散倍数获得的重要三元体系的有价值的相图，以及从实验相图和密度泛函理论(DFT)预测中建模的一组可靠的TCP相的Gibbs能量函数，这些函数可以并入镍基高温合金的热力学数据库。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Solubility Data of Eight Common Alloying Elements in Magnesium

• DOI: 10.1007/s11669-023-01077-5
• 发表时间: 2023-12
• 期刊: Journal of Phase Equilibria and Diffusion
• 影响因子: 1.4
• 作者: Chuangye Wang;Wei Zhong;Ji-Cheng Zhao

High‐Throughput Evaluation of Hardening Coefficients of Eight Alloying Elements in Magnesium

镁中八种合金元素硬化系数的高通量评估

• DOI: 10.1002/adem.202300847
• 发表时间: 2023
• 期刊: Advanced Engineering Materials
• 影响因子: 3.6
• 作者: Wang, Chuangye;Zhong, Wei;Garnett, Jess;Zhao, Ji-Cheng
• 通讯作者: Zhao, Ji-Cheng

High-Throughput and Systematic Study of Phase Transformations and Metastability Using Dual-Anneal Diffusion Multiples

使用双退火扩散多次进行相变和亚稳态的高通量系统研究

• DOI: 10.1007/s11661-020-05915-w
• 发表时间: 2020
• 期刊: Metallurgical and Materials Transactions A
• 作者: Zhao, Ji-Cheng

Insights on phase formation from thermodynamic calculations and machine learning of 2436 experimentally measured high entropy alloys

从 2436 种实验测量的高熵合金的热力学计算和机器学习中了解相形成

• DOI: 10.1016/j.jallcom.2022.165173
• 发表时间: 2022
• 期刊: Journal of Alloys and Compounds
• 影响因子: 6.2
• 作者: Wang, Chuangye;Zhong, Wei;Zhao, Ji-Cheng
• 通讯作者: Zhao, Ji-Cheng