GOALI/Collaborative Research: Strain Gadient Plasticity Modeling to Link Microstructural Non-Local Effects of Dislocation/Interface Interactions with Ductility and Springback

GOALI/合作研究：应变梯度塑性建模将位错/界面相互作用的微观结构非局部效应与延展性和回弹联系起来

• 批准号: 1926662
• 负责人: Michael Miles
• 金额: $ 29.99万
• 依托单位: Brigham Young University
• 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: 2019-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1926662&HistoricalAwards=false
• 关键词: GOALI; Collaborative; Research; Strain; Gadient

A key component in the strategy to lightweight vehicles for reducing harmful emissions involves the introduction of advanced light alloys across a wide spectrum of vehicle components. However, advanced alloys are typically less ductile than their heavier predecessors and are liable to fracture during the shaping and forming operations. On the other hand, various empirical observations have demonstrated that careful selection of strain (deformation) path during the forming process can significantly delay component failure. Current simulation frameworks do not account for key phenomena at the microstructural level needed to analyze and design better forming processes and to guide alloy selection and development for optimal exploitation of current and forthcoming lightweight materials. By combining novel developments in microscopy and modeling, the critical issue to be explored in this Grant Opportunities for Academic Liaison with Industry (GOALI) research project involves interactions between mobile planes of atoms (dislocations) that facilitate shape change of the component, and microstructural interfaces, such as precipitates and grain boundaries. Barriers to dislocation glide cause atomic pileups, and related backstress effects, that are not considered in traditional models, but can potentially be manipulated to improve overall ductility via careful design of strain paths that occur during forming. The research will be integrated into industrial practice by the industrial partner, Aleris, to deliver potentially transformational capabilities in vehicle lightweighting efforts. As a result of this collaboration, the students involved will also gain an understanding of industrial challenges and drivers. Knowledge derived from the research will be integrated into course curricula for graduate and undergraduate students, while a cloud-based App hosting the developed model will be made available to the broader research community via Materials Resources, LLC. This interdisciplinary project, involving the complementary expertise of two universities and an industrial partner, is driven by the hypothesis that accurate calculation of strain gradients, and related backstress and localization fields, during forming can be used to design strain paths that optimize material ductility, effectively delaying localization/failure in high-strength aluminum (Al) alloy sheets. The team will conceive and implement a novel strain-gradient crystal plasticity finite element model to encapsulate the scientific insights. The model will be guided by a combination of two cutting-edge microstructural techniques that will provide unprecedented detail of the deformation behavior at the relevant length-scale. High-resolution electron backscatter diffraction (HREBSD) will be employed for mapping both geometrically necessary dislocations, accompanying strain gradients, and related backstress for each strain path, while high-resolution digital image correlation (HRDIC) will extract the plastic strain tensor for a complete picture of the deformation. The scientific advances will be applied to warm forming of two high strength alloys with different microstructures, namely AA6022-T4 and AA7050-T6.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.

减少有害排放的轻量化车辆战略的一个关键组成部分是在各种车辆部件中引入先进的轻合金。然而，先进合金的延展性通常低于其较重的前身，并且在成型和成型操作过程中容易断裂。另一方面，各种经验观察表明，在成型过程中仔细选择应变（变形）路径可以显着延迟部件失效。当前的模拟框架没有考虑微观结构层面的关键现象，这些现象需要分析和设计更好的成形工艺，并指导合金的选择和开发，以优化当前和即将推出的轻质材料的开发。通过结合显微镜和建模的新颖发展，本次学术与工业联络资助机会 (GOALI) 研究项目要探讨的关键问题涉及促进组件形状变化的原子移动平面（位错）与微观结构界面之间的相互作用，例如析出物和晶界。位错滑移的障碍会导致原子堆积和相关的背应力效应，这些效应在传统模型中没有考虑到，但可以通过仔细设计成形过程中发生的应变路径来控制，以提高整体延展性。该研究将由工业合作伙伴 Aleris 整合到工业实践中，以在车辆轻量化方面提供潜在的变革能力。通过此次合作，参与的学生还将了解行业挑战和驱动因素。从研究中获得的知识将被整合到研究生和本科生的课程中，而托管开发模型的基于云的应用程序将通过 Materials Resources, LLC 向更广泛的研究社区提供。这个跨学科项目涉及两所大学和一个工业合作伙伴的互补专业知识，其假设是，在成型过程中精确计算应变梯度以及相关的背应力和局部化场，可用于设计有效优化材料延展性的应变路径。延迟高强度铝 (Al) 合金板的局部化/失效。该团队将构思并实施一种新颖的应变梯度晶体塑性有限元模型来概括科学见解。该模型将结合两种尖端微观结构技术，提供相关长度尺度上变形行为的前所未有的细节。高分辨率电子背散射衍射 (HREBSD) 将用于绘制几何上必要的位错、伴随的应变梯度以及每个应变路径的相关背应力，而高分辨率数字图像相关 (HRDIC) 将提取塑性应变张量以获得完整的结果。变形图片。这些科学进展将应用于两种具有不同微观结构的高强度合金的温成形，即AA6022-T4和AA7050-T6。该奖项反映了NSF的法定使命，并通过利用基金会的智力价值和更广泛的影响进行评估，认为值得支持审查标准。

项目成果

Phase determination in dual phase steels via HREBSD‐based tetragonality mapping

通过基于 HREBSD 的四方映射确定双相钢的相

• DOI: 10.1111/jmi.12980
• 发表时间: 2021
• 期刊: Journal of Microscopy
• 影响因子: 2
• 作者: Adams, Derrik;Miles, Michael P.;Homer, Eric R.;Brown, Tyson;Mishra, Raj K.;Fullwood, David T.
• 通讯作者: Fullwood, David T.

Effect of pre-strain on springback behavior after bending in AA 6016-T4: Experiments and crystal plasticity modeling

• DOI: 10.1016/j.ijsolstr.2023.112485
• 发表时间: 2023-11
• 期刊: International Journal of Solids and Structures
• 影响因子: 3.6
• 作者: Dane Sargeant;Zahidul Sarkar;Rishabh Sharma;Marko Knezevic;D. Fullwood;Michael P. Miles

Modeling of Springback Behavior in AA6016-T4 Sheet via an Elastoplastic Self-consistent Model Incorporating Backstress

通过包含背应力的弹塑性自洽模型对 AA6016-T4 板材的回弹行为进行建模

• 发表时间: 2022
• 期刊: Light Metals 2022
• 作者: Dane Sargeant, Md. Zahidul

Micromechanical origins of remarkable elongation-to-fracture in AHSS TRIP steels via continuous bending under tension

• DOI: 10.1016/j.msea.2021.141876
• 发表时间: 2021-09
• 期刊: Materials Science and Engineering A-structural Materials Properties Microstructure and Processing
• 影响因子: 6.4
• 作者: Rishabh Sharma;C. Poulin;M. Knezevic;M. Miles;D. Fullwood

Experimental characterization and crystal plasticity modeling for predicting load reversals in AA6016-T4 and AA7021-T79

用于预测 AA6016-T4 和 AA7021-T79 中负载反转的实验表征和晶体塑性建模

• DOI: 10.1016/j.ijplas.2022.103292
• 发表时间: 2022
• 期刊: International Journal of Plasticity
• 影响因子: 9.8
• 作者: Daroju, Sowmya;Kuwabara, Toshihiko;Sharma, Rishabh;Fullwood, David T.;Miles, Michael P.;Knezevic, Marko
• 通讯作者: Knezevic, Marko