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GOALI/Collaborative Research: Design and Optimization of Powder Processed Ni-Base Superalloys via Grain Boundary Engineering

GOALI/合作研究：通过晶界工程设计和优化粉末加工镍基高温合金

基本信息

批准号：
1334664
负责人：
Michael Sangid
金额：
$ 25.18万
依托单位：
Purdue University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2013
资助国家：
美国
起止时间：
2013-09-01 至 2017-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1334664&HistoricalAwards=false
关键词：
GOALI Collaborative Research Design Optimization

项目摘要

This research is about design of microstructures in superalloy structures that exhibit superior mechanical properties through grain boundary engineering. The approach of this research will be to develop and link process models, capable of producing microstructures with distinct grain boundary characteristics, with behavior models, capable of determining the fatigue life based on the microstructure. Through physics-based approaches, a process map will relate the hot deformation parameters for Nickel-based superalloys to the formation of distinct grain boundaries and microstructures. Microstructures that produce superior properties will be identified through inverse fatigue modeling and fabricated in bulk components. The validation of desired mechanical properties and mechanisms for achieving strengthening at distinct boundaries will be identified through novel in situ loading experiments coupled with strain field measurements and orientation mapping.If successful, the benefits of this research will include the design of microstructures in bulk engineering materials that exhibit superior and tailorable mechanical properties, thus producing an increase in safety, performance, and energy efficiency of components for gas turbine engine applications. More generally, the fundamental science will enable: (a) an identification of the types of microstructures that produce advances in fatigue life, (b) an understanding of the strengthening mechanisms of these distinct grain boundaries, and (c) process maps to achieve such structures. Each of the aforementioned items will enable designs of microstructures in a wide class of materials and components that exhibit superior mechanical behavior. The broader impact of this research is four-fold: (i.) a materials camp for high school science teachers, (ii.) inclusion of women and underrepresented groups, (iii.) open and wide-spread dissemination through HUB technology, and (iv.) industrial interaction including technology transfer.

本研究是关于通过晶界工程设计具有上级机械性能的高温合金结构的微观结构。本研究的方法将是开发和链接过程模型，能够产生具有不同晶界特征的微观结构，与行为模型，能够确定基于微观结构的疲劳寿命。通过基于物理的方法，工艺图将镍基高温合金的热变形参数与不同晶界和微观结构的形成联系起来。将通过反向疲劳建模确定产生上级性能的微观结构，并在散装组件中制造。通过新的原位加载实验，结合应变场测量和取向映射，将确定所需的机械性能和在不同边界处实现强化的机制。如果成功，这项研究的好处将包括在散装工程材料中设计具有上级和可定制机械性能的微结构，从而提高安全性、性能，和燃气涡轮机发动机应用的部件的能量效率。更一般地说，基础科学将能够：（a）识别产生疲劳寿命进步的微观结构类型，（B）理解这些不同晶界的强化机制，以及（c）实现这种结构的工艺图。上述每一项都能在表现出上级机械性能的各种材料和部件中设计出微结构。这项研究的广泛影响是四方面的：（一）高中科学教师的材料营地，（二）妇女和代表性不足群体的参与，㈢通过HUB技术进行公开和广泛的传播，以及（iv.）包括技术转让在内的工业互动。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Microstructure based fatigue life prediction framework for polycrystalline nickel-base superalloys with emphasis on the role played by twin boundaries in crack initiation

DOI：
10.1016/j.actamat.2016.01.038
发表时间：
2016-04
期刊：
Acta Materialia
影响因子：
9.4
作者：
Saikumar R. Yeratapally;M. Glavicic;M. Hardy;M. Sangid
通讯作者：
Saikumar R. Yeratapally;M. Glavicic;M. Hardy;M. Sangid

Bayesian uncertainty quantification and propagation for validation of a microstructure sensitive model for prediction of fatigue crack initiation

DOI：
10.1016/j.ress.2017.03.006
发表时间：
2017-08
期刊：
Reliab. Eng. Syst. Saf.
影响因子：
0
作者：
Saikumar R. Yeratapally;M. Glavicic;C. Argyrakis;M. Sangid
通讯作者：
Saikumar R. Yeratapally;M. Glavicic;C. Argyrakis;M. Sangid

Fatigue strain mapping via digital image correlation for Ni-based superalloys: The role of thermal activation on cube slip

DOI：
10.1016/j.msea.2017.04.002
发表时间：
2017-05
期刊：
Materials Science and Engineering A-structural Materials Properties Microstructure and Processing
影响因子：
6.4
作者：
A. Mello;Andrea Nicolas;M. Sangid
通讯作者：
A. Mello;Andrea Nicolas;M. Sangid

Distortion Correction Protocol for Digital Image Correlation after Scanning Electron Microscopy: Emphasis on Long Duration and Ex-Situ Experiments