Collaborative Research: Hybrid-Compatible Deformation Processing of Performance Critical Components

合作研究：性能关键部件的混合兼容变形处理

• 批准号: 1825640
• 负责人: Christopher Saldana
• 金额: $ 21.47万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1825640&HistoricalAwards=false
• 关键词: Collaborative; Research; Hybrid; Compatible; Deformation

Additive manufacturing has emerged as a viable route for fabricating complex machine components that have important applications in the aerospace, defense, automotive and energy sectors. Unfortunately, machine components made through additive manufacturing are often unreliable due to internal defects. This prohibits their industrial use as defective components can respond to normal service conditions in unexpected ways or fail prematurely. This award supports research to establish a novel hybrid-additive method for fabrication of defect-free components, and therefore directly impacts economic welfare and national security. This hybrid approach will repair defects using local severe deformation. Modeling efforts that will support this research will enable rapid fabrication of high quality additively manufactured components. The project will also support several classroom teaching initiatives including those focused at the K-12, undergraduate and graduate levels. These include (i) incorporation of research results into an interactive educational computer game and (ii) dissemination through short video-scribe movies available for viewing in open social media platforms. The goal of this project is to facilitate defect control in additively manufactured components through hybrid post-processing methods. For achieving this goal, the methodology will involve systematic use of plastic deformation in interwoven steps during additive manufacturing for mitigation of volumetric defects. Modeling efforts will involve detailed characterization of material microstructure evolution under graded plastic strain. Microstructure parameters of interest include grain structure and defect structure. The deformation response of these parameters will be studied using in situ loading platforms that will work with existing electron microscopes and X-Ray computed tomography machines. Deformation strain fields will be characterized using digital image correlation through secondary electron imaging. These strain fields will be correlated with the evolving micro-structure parameters that will be characterized simultaneously. A process modeling framework for prediction of the surface microstructure as a function of processing conditions will be validated and used to determine optimal hybrid strategies for post processing additively manufactured microstructures.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.

增材制造已成为制造复杂机器部件的可行途径，这些部件在航空航天，国防，汽车和能源领域具有重要应用。不幸的是，通过增材制造制造的机器部件往往由于内部缺陷而不可靠。这就禁止了它们的工业应用，因为有缺陷的组件可能会以意想不到的方式响应正常的服务条件或过早地失效。该奖项支持研究建立一种新的混合添加剂方法，用于制造无缺陷组件，因此直接影响经济福利和国家安全。这种混合方法将使用局部严重变形来修复缺陷。支持这项研究的建模工作将能够快速制造高质量的增材制造组件。该项目还将支持几个课堂教学计划，包括那些集中在K-12，本科和研究生水平。这些措施包括：（i）将研究成果纳入互动教育电脑游戏;（ii）通过可在开放社交媒体平台上观看的视频短片进行传播。该项目的目标是通过混合后处理方法促进增材制造组件的缺陷控制。为了实现这一目标，该方法将涉及在增材制造期间在交织步骤中系统地使用塑性变形，以减轻体积缺陷。建模工作将涉及材料的微观结构演变梯度塑性应变下的详细表征。感兴趣的微结构参数包括晶粒结构和缺陷结构。这些参数的变形响应将使用原位加载平台进行研究，该平台将与现有的电子显微镜和X射线计算机断层扫描机一起工作。变形应变场将通过二次电子成像使用数字图像相关来表征。这些应变场将与同时表征的演变的微结构参数相关。该奖项反映了NSF的法定使命，并通过使用基金会的智力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

Defect Evolution in Tensile Loading of 316L Processed by Laser Powder Bed Fusion

• DOI: 10.1007/s11340-021-00815-5
• 发表时间: 2022-04
• 期刊: Experimental Mechanics
• 影响因子: 2.4
• 作者: J. Miers;D. Moore;C. Saldana

Evolution of Global and Local Deformation in Additively Manufactured Octet Truss Lattice Structures

• DOI: 10.1016/j.addlet.2021.100010
• 发表时间: 2021-10
• 期刊: Additive Manufacturing Letters
• 作者: E. Jost;D. Moore;C. Saldana

Extreme variation in fatigue: Fatigue life prediction and dependence on build volume location in laser powder bed fusion of 17-4 stainless steel

• DOI: 10.1016/j.ijfatigue.2022.106737
• 发表时间: 2022-01-19
• 期刊: INTERNATIONAL JOURNAL OF FATIGUE
• 影响因子: 6
• 作者: Berez, Jaime;Sheridan, Luke;Saldana, Christopher
• 通讯作者: Saldana, Christopher

Voxel-based modeling of transient material removal in machining

加工过程中瞬态材料去除的基于体素的建模

• DOI: 10.1007/s00170-021-07545-x
• 发表时间: 2021
• 期刊: The International Journal of Advanced Manufacturing Technology
• 作者: Miers, John C.;Tucker, Tommy;Kurfess, Thomas;Saldana, Christopher
• 通讯作者: Saldana, Christopher

Error qualification for multi-axis BC-type machine tools

• DOI: 10.1016/j.jmsy.2019.03.004
• 发表时间: 2019-07
• 期刊: Journal of Manufacturing Systems
• 影响因子: 12.1
• 作者: M. Praniewicz;T. Kurfess;C. Saldana