Fundamental Mechanisms in Stress-Aided Variant Selection of Nanoscale Precipitation
纳米级沉淀的应力辅助变体选择的基本机制
基本信息
- 批准号:2104941
- 负责人:
- 金额:$ 42.52万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-10-01 至 2024-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
NON-TECHNICAL SUMMARYNickel-based superalloys possess combined high strength and corrosion resistance during service at elevated temperatures. Due to these important characteristics, they have been widely used in high-performance combustion engines, such as gas turbines, thermal and nuclear power plants. In order to achieve superior mechanical properties at high temperatures, precipitation hardening has been widely employed to strengthen superalloys. This program will focus on understanding and controlling the orientation of precipitates with respect to the alloy matrix, i.e., variant selection, in a nickel-based superalloy. The modulated mechanical properties by selected variant during the stress-assisted aging process will be also investigated. Insights gained from the program will advance the understanding of strengthening mechanisms as well as provide related industries with new guidance to improve the mechanical properties of alloys. The program will not only promote the progress of science but will also advance the national prosperity, and welfare due to the contribution to the aerospace, thermal and nuclear industry, where the enhanced performance of high temperature gas turbine components can significantly increase the efficiency of aircraft engines and power plants. In addition, this award will encourage women and underrepresented groups in engineering and enhance community and outreach activities through creative learning modules and workshops among other university programs. TECHNICAL SUMMARYThe mechanical properties of metallic materials are closely related to their internal microstructure. In particular, the morphology of precipitate particles including their shape, orientation and distribution can critically determine the properties of phase-separated alloys. Variant selection refers to the formation of a particular precipitate orientation with respect to the alloy matrix. Using Ni-based alloys as an example, the formation mechanisms of variant selection of coherent nanometer-sized precipitates at the nucleation and early growth stage, and the corresponding modulated mechanical properties will be investigated. We aim to answer the following fundamental questions: -How can one control the initiation of variant selection through varying important materials and processing parameters; -How to achieve anisotropic strengthening by selecting variants of which the desirable slip systems are in the preferential direction? The technical effort is featured by a closely integrated computational and experimental approach to (1) clarify the effect of materials parameters in variant selection at the nucleation and early growth stage during thermomechanical treatment, (2) fabricate single-crystalline samples, and (3) investigate the anisotropic strengthening during tensile and creep deformation. This program will be focused on nickel-based alloys due to its wide-spread applications. However, the fundamental mechanism elucidated is applicable to most alloys that contain coherent precipitates, e.g., novel refractory alloys.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.
非技术概述镍基高温合金在高温下使用时具有高强度和耐腐蚀性。由于这些重要的特性,它们已被广泛用于高性能内燃机,如燃气轮机,热电厂和核电厂。为了在高温下获得上级机械性能,沉淀硬化已被广泛用于强化高温合金。该计划将侧重于理解和控制沉淀物相对于合金基体的取向,即,在镍基高温合金中的变体选择。还将研究应力辅助老化过程中所选变体的调制力学性能。从该计划中获得的见解将促进对强化机制的理解,并为相关行业提供新的指导,以改善合金的机械性能。该计划不仅将促进科学的进步,而且还将促进国家的繁荣和福利,因为它对航空航天,热能和核工业的贡献,其中高温燃气涡轮机部件的增强性能可以显着提高飞机发动机和发电厂的效率。此外,该奖项将鼓励妇女和代表性不足的群体在工程和加强社区和推广活动,通过创造性的学习模块和研讨会等大学课程。金属材料的力学性能与其内部微观结构密切相关。特别是,沉淀颗粒的形态,包括它们的形状、取向和分布,可以决定相分离合金的性能。变体选择是指相对于合金基体形成特定的沉淀物取向。以镍基合金为例,共格纳米尺寸的析出物在形核和早期生长阶段的变体选择的形成机制,以及相应的调制的机械性能将被研究。我们的目标是回答以下基本问题:-如何可以控制通过不同的重要材料和工艺参数的变体选择的启动; -如何实现各向异性加强选择的理想的滑移系统的变体是在优先方向?该技术工作的特点是紧密结合的计算和实验方法,以(1)澄清材料参数在形变热处理过程中的成核和早期生长阶段的变体选择的影响,(2)制造单晶样品,(3)研究拉伸和蠕变变形过程中的各向异性强化。由于镍基合金的广泛应用,该计划将重点关注镍基合金。然而,所阐明的基本机制适用于含有共格沉淀物的大多数合金,例如,该奖项反映了NSF的法定使命,并通过使用基金会的知识价值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
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
First-Principles Calculation of Stacking Fault Energies in Ni2(Cr, Mo)
- DOI:10.1016/j.mtcomm.2023.105447
- 发表时间:2023-01
- 期刊:
- 影响因子:3.8
- 作者:Jie Song;Yao Fu
- 通讯作者:Jie Song;Yao Fu
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Yao Fu其他文献
IS '97: model curriculum and guidelines for undergraduate degree programs in information systems
IS 97:信息系统本科学位课程示范课程和指南
- DOI:
- 发表时间:
1996 - 期刊:
- 影响因子:0
- 作者:
G. Davis;Acm Co;J. Gorgone;J. Daniel Couger;Ais Co;David L. Feinstein;Aitp;H. Longenecker;Ais J Daniel Couger;John Werth;John C Anderson;Iaim A Milton Jenkins;Jack Baroudi;Thomas T Clark;Jon D. Clark;Pat Dickerson;Jane Finley;G. M. Kasper;P. Licker;Gary Mollere;Ibm J David;Naumann;J. Nunamaker;Rob Abbott;Ruby Tuesday;Robert M Aiken;Marvin Albin;Paulette S Alexander;Stephen L Allen;Allyson Anderson;Julius A Archibald;Timothy G. Babbitt;Lloyd W. Bartholome;Colin E Bell;G. Bergum;Louis J Berzai;Charles P. Bilbrey;James Madison;Roy A Boggs;Glenn Boswell;A. College;Bruce Bosworth;St John;Daniel Briscoe;Donald A Carpenter;Gena C Casas;Frank Cheatham;Eli Boyd Cohen;Leland M Courtney;James H. Cross II;Robert A Dager;Missouri State;R. J. Daigle;Robert H. Dependahl;David P. Doane;Richard J Dolan;Nj Dca;Marianne J D Onofrio;M. V. Doran;Paul Dorsey;Doris G Duncan;J. D. Durham;Annette Easton;K. L. Elder;Kennesaw State College;R. Ender;Kurt J Engemarm;Jane Fedorowicz;Bentley College;J. Fendrich;Ernest Ferguson;Kirk D. Fiedler;Richard T Firtko;Anne E Fleury;Raymond O. Folse;Michael Gibson;M. Granger;John P Grillo;William E Grimsley;T. Hain;J. E. Haines;David Hale;Wolpert Engineering;Douglas F Hale;Dianne Hamilton;Albert Harris;Eric Heath;John W Henry;Mark Hensel;Kerry Henson;Gerald Hershey;Thomas E Hilton;W. C. Hobart;J. Hoffer;James E Holden;C. Holsapple;Robert L Horton;Mark W Huber;Frank R. Hunsicker;West Georgia College;Robby C Jackard;Durward P Jackson;David J Jankowski;George H Jenkins;Nancy Johnson;Sharon G Johnson;Bruce W Johnston;Eleanor Jordan;M. Kahn;Vernon Kam;Yasuko Kaminuma;Bonnie Kaplan;Dick Kastory;Georgia College;Marcus E Keuerman;J. Kendall;K. Kendall;Tom Keon;William J. Kettinger;Betty Kieen;Frederick Kohun;Robert Morris College;Steve Kolars;Antonio San;Charles W College;Koop;D. Langan;Anita J Lasalle;Francis Lau;William E Leigh;R. Leitheiser;Stanley X Lewis;D. Lidtke;Diane L Lockwood;A. Lorents;Charles M Lutz;Donal T. MacVeigh;St Peter 's College;Janles Magruder;Brenda Masseth;St John 's University;Peter W C Mather;James R Marsow;Fred J Maryansld;Martha C Mccormick;W. M. Mccracken;Linda J Menard;David Miller;Rosenbluth Intemational;Diane Miller;Ken Modesitt;James E Moon;Gerald Morris;Kathleen Moser;Michael G Murphy;Michael Myers;A. College;H. Narang;Fred Newman;Peter A Ng;K. Olmosk;West Virginia;Graduate College;John Olson;Thomas R. Panko;Raymond Papp;J. Pardue;John Pessford;J. Pick;Michael M. Pickard;Stephen F Austin;John R Pickett;Georgia Southern College;W. Pinney;Carol Pollard;Leslie R Porter;Jim Prado;Oregon State;College R Leon Price;Brian J. Reithel;Ann Roberts;Mitchell College;Bettye Robinson;Bruce Rollier;Alan Russell;Jo Ruta;Dolly Samson;Bruce M. Saulnier;George Schell;Ken Schmidt;Ken Shaw;Steven John Simon;R. Skovira;Edward M Solinsld;E. Stohr;G. E. Strouse;John Talbert;Shannon Taylor;Jack Thompson;Gerald J. Tillman;Reza Torkzadeh;John Trimble;Morris Brown College;Warer A Ullrich;William O Vandongen;St. Norbert College;Murali Varanasi;J. L. Walton;Yao Fu;Wang;Steven W Wendt;Marv Wielard;Joe Wiley;Oklahoma State;Jan R Williams;Jennifer Williams;Kay Williams;Boeing Information;Support Services;G. W. Willis;Michael Wolfe;Pat Woodworth;David J Wright;Luis Zornosa;J. Couger - 通讯作者:
J. Couger
Intelligent Splicing Method of Virtual Reality Lingnan Cultural Heritage Panorama Based on Automatic Machine Learning
基于自动机器学习的虚拟现实岭南文化遗产全景智能拼接方法
- DOI:
10.1155/2021/8693436 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Yao Fu;Tingting Guo;Xingfang Zhao - 通讯作者:
Xingfang Zhao
Photocatalyst- and additive-free site-specific C(sp3)–H hydrazination of glycine derivatives and peptides
甘氨酸衍生物和肽的光催化剂和无添加剂位点特异性 C(sp3)–H 肼化
- DOI:
10.1039/d1gc01210j - 发表时间:
2021-06 - 期刊:
- 影响因子:9.8
- 作者:
Guang-Zu Wang;De-Guang Liu;Meng-Ting Liu;Yao Fu - 通讯作者:
Yao Fu
Lossless and Content-Based Hidden Transmission for Biometric Verificaion
用于生物特征验证的无损和基于内容的隐藏传输
- DOI:
10.1109/iita.2008.351 - 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Yinghua Lu;Xiaolu Li;Miao Qi;Jinsong Li;Yao Fu;Jun Kong - 通讯作者:
Jun Kong
From Left-Behind Children to Youth Labor Migrants: The Impact of Household Networks, Gendered Migration, and Relay Migration in Southeast Asia
从留守儿童到青年劳动力流动:东南亚家庭网络、性别移民和接力移民的影响
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Cheng Chow;Xiaochen Zhou;Yao Fu;A. Jampaklay;L. Jordan - 通讯作者:
L. Jordan
Yao Fu的其他文献
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{{ truncateString('Yao Fu', 18)}}的其他基金
NSFGEO-NERC: Collaborative Research: Role of the Overturning Circulation in Carbon Accumulation (ROCCA)
NSFGEO-NERC:合作研究:翻转环流在碳积累中的作用(ROCCA)
- 批准号:
2400434 - 财政年份:2024
- 资助金额:
$ 42.52万 - 项目类别:
Standard Grant
CDS&E/Collaborative Research: In-Situ Monitoring-Enabled Multiscale Modeling and Optimization for Environmental and Mechanical Performance of Advanced Manufactured Materials
CDS
- 批准号:
2245107 - 财政年份:2023
- 资助金额:
$ 42.52万 - 项目类别:
Standard Grant
CAREER: Understanding the Corrosion Fatigue Behavior of Additively Processed Metals through an Integrated Experimental and Computational Approach
职业:通过综合实验和计算方法了解增材加工金属的腐蚀疲劳行为
- 批准号:
2044972 - 财政年份:2021
- 资助金额:
$ 42.52万 - 项目类别:
Standard Grant
CAREER: Understanding the Corrosion Fatigue Behavior of Additively Processed Metals through an Integrated Experimental and Computational Approach
职业:通过综合实验和计算方法了解增材加工金属的腐蚀疲劳行为
- 批准号:
2139383 - 财政年份:2021
- 资助金额:
$ 42.52万 - 项目类别:
Standard Grant
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