Understanding and Predicting Properties and Performance of Additively Manufactured Nickel-Based Superalloys

了解和预测增材制造镍基高温合金的特性和性能

基本信息

  • 批准号:
    1662615
  • 负责人:
  • 金额:
    $ 42万
  • 依托单位:
  • 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
  • 起止时间:
    2017-07-01 至 2021-06-30
  • 项目状态:
    已结题

项目摘要

Additive manufacturing, or 3D Printing, offers tremendous opportunity for efficient, custom manufacturing of critical parts. This processing approach can be applied to Nickel-based superalloys, which are specialized materials that have excellent high-temperature strength and good oxidation resistance, and hence are used in a wide range of technologies and applications. This award supports research to understand the fundamental relationships between processing and performance which will allow development of optimal additive manufacturing processes to fabricate nickel-based superalloy parts. An optimal process will enable the additively manufactured nickel-based superalloys to have excellent resistance to surface damage by high temperature oxidation while also retaining superior strength. Additively manufactured alloys have potential application in aerospace, automotive, biomedical, energy, and chemical industries. The results from this research therefore have the potential to benefit the U.S. economy and enhance manufacturing capabilities. Moreover, the research results will be incorporated into curriculum enhancement, student training, industrial collaboration, and an educational outreach program. Activities supported under this award will contribute to recruiting students from underrepresented groups to participate in research, and will positively impact higher education in science and engineering disciplines.The combination of high strength and superior oxidation resistance of nickel-based superalloys make these materials good candidates for high-temperature applications. Additively manufactured nickel-based superalloys can possess mechanical properties comparable to those produced by conventional manufacturing techniques, but their resistance to high temperature oxidation is not comparable to conventionally manufactured components. To enable the application of additive manufacturing for high-temperature alloy fabrication, this research aims to understand and predict the processing-microstructure-oxidation relationships for additive manufactured nickel-based superalloys. The research team will fabricate nickel-based superalloys in layered forms using the laser engineered net shaping additive manufacturing technique, perform microstructural analysis on the alloys using electron microscopy, predict the solidification microstructure of the additive manufactured Ni alloys using numerical modeling techniques, and measure the high-temperature oxidation performance of additive manufactured Ni alloys via thermogravimetric analysis. This research will provide knowledge for determination of a critical cooling rate below which the superior high-temperature corrosion properties can be maintained in the additive manufactured nickel-based superalloys.
增材制造或3D打印为关键部件的高效定制制造提供了巨大的机会。这种加工方法可以应用于镍基高温合金,镍基高温合金是具有优异高温强度和良好抗氧化性的专用材料,因此用于广泛的技术和应用。该奖项支持研究,以了解加工和性能之间的基本关系,这将允许开发最佳的增材制造工艺来制造镍基高温合金零件。 最佳工艺将使增材制造的镍基超合金具有优异的耐高温氧化表面损伤性,同时还保持上级强度。增材制造的合金在航空航天、汽车、生物医学、能源和化学工业中具有潜在的应用。因此,这项研究的结果有可能使美国经济受益,并提高制造能力。此外,研究成果将纳入课程改进,学生培训,工业合作和教育推广计划。该奖项所支持的活动将有助于招募来自弱势群体的学生参与研究,并将对科学和工程学科的高等教育产生积极影响。镍基高温合金的高强度和上级抗氧化性相结合,使这些材料成为高温应用的良好候选材料。增材制造的镍基超合金可以具有与通过常规制造技术生产的那些材料相当的机械性能,但是它们的耐高温氧化性与常规制造的部件不可比较。为了使增材制造在高温合金制造中的应用成为可能,本研究旨在了解和预测增材制造的镍基高温合金的加工-显微组织-氧化关系。研究团队将使用激光工程净成形增材制造技术以层状形式制造镍基高温合金,使用电子显微镜对合金进行微观结构分析,使用数值建模技术预测增材制造镍合金的凝固微观结构,并通过热重分析测量增材制造镍合金的高温氧化性能。 该研究将为确定临界冷却速率提供知识,低于该临界冷却速率,增材制造的镍基高温合金可以保持优异的上级高温腐蚀性能。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Guofeng Wang其他文献

cDNA cloning and complete primary structures of myosin heavy chains from spear squid and cuttlefish
矛乌贼和墨鱼肌球蛋白重链的 cDNA 克隆和完整一级结构
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Guofeng Wang;Shugo Watabe;Yoshihiro Ochiai
  • 通讯作者:
    Yoshihiro Ochiai
Confrontation, Competition, or Cooperation? The China–US Relations Represented in China Daily’s Coverage of Climate Change (2010–2019)
《中国日报》气候变化报道中的中美关系(2010-2019)
ROBUST BACKSTEPING CONTROL OF SHIP STEERING WITH RUDDER SATURATION
带有舵饱和的船舶转向的鲁棒反步控制
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Guofeng Wang;Kai zheng;Xingcheng Wang;Yongsheng Zhao
  • 通讯作者:
    Yongsheng Zhao
Anatase TiO2 pillar–nanoparticle composite fabricated by layer-by-layer assembly for high-efficiency dye-sensitized solar cellsbr /
逐层组装锐钛矿TiO2柱-纳米粒子复合材料用于高效染料敏化太阳能电池
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    4
  • 作者:
    Yang Qu;Qingjing Pan;Baojiang Jiang;Guohui Tian;Guofeng Wang;Ying Xie;Youzhen Dong;Xiaohuan Miao;Chungui Tian
  • 通讯作者:
    Chungui Tian
Force based tool wear monitoring system for milling process based on relevance vector machine
基于相关向量机的铣削过程中基于力的刀具磨损监测系统
  • DOI:
    10.1016/j.advengsoft.2014.02.002
  • 发表时间:
    2014-05
  • 期刊:
  • 影响因子:
    4.8
  • 作者:
    Guofeng Wang;Yinwei Yang;Qinglu Xie;Yanchao Zhang
  • 通讯作者:
    Yanchao Zhang

Guofeng Wang的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Guofeng Wang', 18)}}的其他基金

Collaborative Research: Coordinated In-situ Dynamic Experiments and Atomistic Modeling of Surface Segregation in Alloys
合作研究:合金表面偏析的协调原位动态实验和原子建模
  • 批准号:
    1905572
  • 财政年份:
    2019
  • 资助金额:
    $ 42万
  • 项目类别:
    Standard Grant
Collaborative Research: Designing Nitrogen Coordinated Single Atomic Metal Electrocatalysts for Selective CO2 Reduction to CO
合作研究:设计氮配位单原子金属电催化剂用于选择性将 CO2 还原为 CO
  • 批准号:
    1804534
  • 财政年份:
    2018
  • 资助金额:
    $ 42万
  • 项目类别:
    Standard Grant
: In situ observation of atomic scale twinning Process in HCP Crystals
: 原位观察 HCP 晶体原子级孪生过程
  • 批准号:
    1808046
  • 财政年份:
    2018
  • 资助金额:
    $ 42万
  • 项目类别:
    Continuing Grant
In-situ Atomic-Scale Observation on Interface Formation and Friction
界面形成和摩擦的原位原子尺度观察
  • 批准号:
    1824816
  • 财政年份:
    2018
  • 资助金额:
    $ 42万
  • 项目类别:
    Standard Grant
Atomistic Mechanisms of Surface- and Interface-Mediated Creep in Small-sized Metals
小尺寸金属表面和界面介导蠕变的原子机制
  • 批准号:
    1760916
  • 财政年份:
    2018
  • 资助金额:
    $ 42万
  • 项目类别:
    Standard Grant
Atomistic Simulation Investigation on Processing-Structure-Property Relation of Magnetic Metal Alloy Nanostructures
磁性金属合金纳米结构加工-结构-性能关系的原子模拟研究
  • 批准号:
    1410597
  • 财政年份:
    2014
  • 资助金额:
    $ 42万
  • 项目类别:
    Continuing Grant

相似海外基金

I-Corps: AI for predicting polymer properties for biopolymer films
I-Corps:用于预测生物聚合物薄膜聚合物特性的人工智能
  • 批准号:
    2335930
  • 财政年份:
    2023
  • 资助金额:
    $ 42万
  • 项目类别:
    Standard Grant
Collaborative Research: Predicting the Mechanical Properties of Biomimetic Apatite Crystals Due to Co and Cr Ion Substitutions
合作研究:预测因 Co 和 Cr 离子取代而产生的仿生磷灰石晶体的机械性能
  • 批准号:
    2323500
  • 财政年份:
    2023
  • 资助金额:
    $ 42万
  • 项目类别:
    Standard Grant
Collaborative Research: Predicting the Mechanical Properties of Biomimetic Apatite Crystals Due to Co and Cr Ion Substitutions
合作研究:预测因 Co 和 Cr 离子取代而产生的仿生磷灰石晶体的机械性能
  • 批准号:
    2323499
  • 财政年份:
    2023
  • 资助金额:
    $ 42万
  • 项目类别:
    Standard Grant
Tuning material properties under high pressure: predicting new materials via advanced ab initio methods
在高压下调整材料性能:通过先进的从头算方法预测新材料
  • 批准号:
    RGPIN-2018-04303
  • 财政年份:
    2022
  • 资助金额:
    $ 42万
  • 项目类别:
    Discovery Grants Program - Individual
The Role of Dynamic Electron Correlation in Predicting Properties of Actinide-Based Single Molecule Magnets
动态电子关联在​​预测锕系单分子磁体特性中的作用
  • 批准号:
    557458-2021
  • 财政年份:
    2022
  • 资助金额:
    $ 42万
  • 项目类别:
    Postdoctoral Fellowships
Predicting geological and geomechanical rock properties using data analytics and multi-sensor core logging data
使用数据分析和多传感器岩心测井数据预测地质和地质力学岩石特性
  • 批准号:
    RGPIN-2020-06196
  • 财政年份:
    2022
  • 资助金额:
    $ 42万
  • 项目类别:
    Discovery Grants Program - Individual
Machine Learning Methods Predicting Optimal Mechanical Properties of Carbon Fibre Thermoplastics
预测碳纤维热塑性塑料最佳机械性能的机器学习方法
  • 批准号:
    546625-2020
  • 财政年份:
    2022
  • 资助金额:
    $ 42万
  • 项目类别:
    Postgraduate Scholarships - Doctoral
Predicting geological and geomechanical rock properties using data analytics and multi-sensor core logging data
使用数据分析和多传感器岩心测井数据预测地质和地质力学岩石特性
  • 批准号:
    RGPIN-2020-06196
  • 财政年份:
    2021
  • 资助金额:
    $ 42万
  • 项目类别:
    Discovery Grants Program - Individual
Tuning material properties under high pressure: predicting new materials via advanced ab initio methods
在高压下调整材料性能:通过先进的从头算方法预测新材料
  • 批准号:
    RGPIN-2018-04303
  • 财政年份:
    2021
  • 资助金额:
    $ 42万
  • 项目类别:
    Discovery Grants Program - Individual
The Role of Dynamic Electron Correlation in Predicting Properties of Actinide-Based Single Molecule Magnets
动态电子关联在​​预测锕系单分子磁体特性中的作用
  • 批准号:
    557458-2021
  • 财政年份:
    2021
  • 资助金额:
    $ 42万
  • 项目类别:
    Postdoctoral Fellowships
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了