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Multi-Scale Modeling and Multi-Objective Design Framework for Location-Specific Material Behavior in Additively Manufactured Components

增材制造组件中特定位置材料行为的多尺度建模和多目标设计框架

基本信息

批准号：
1825115
负责人：
Somnath Ghosh
金额：
$ 51.46万
依托单位：
Johns Hopkins University
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：
2018-09-15 至 2022-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1825115&HistoricalAwards=false
关键词：
Multi Scale Modeling Objective Design

项目摘要

Additive manufacturing (AM) processes for metallic materials, namely powder-bed fusion, and various powder-feed and wire-feed systems, are bringing dramatic changes to the manufacturing industry. The unprecedented agility achieved through layer-by-layer material addition is enabling near net-shape production of complex components. Despite this promise and progress, the qualification and acceptance of AM parts have been compromised by the lack of consistency in material behavior and life-limiting properties, e.g., undesirable ductility and fatigue behavior. These inconsistencies are often attributed to subtle, yet characteristic variations in the microstructure (morphology and defect structure), possibly a consequence of small perturbations in the AM process parameters. By implementing a multi-pronged approach incorporating innovative methods of integrated computational materials engineering (ICME), such as physics-based multi-scale modeling, multi-objective design, and materials characterization and testing, this research will address this shortcoming by developing a robust framework for location specific material properties and behavior in structures fabricated by AM processes. Ultimately, it will provide guidance on the links between process parameters and product performance and life, paving the acceptance of AM parts in critical applications. The research will promote the sciences associated with ICME; advance the national health, prosperity, and welfare by establishing the provenance of AM manufacturing; and secure the national defense by enabling near on-demand, net-shape production of critical parts in theaters. Collaborative partnerships with Sandia National Laboratories and JHU/Applied Physics Laboratory will be a strength of this research. Graduate students on this project will undergo multi-disciplinary training in state-of-the-art techniques in multi-scale modeling, design optimization, materials characterization and modern manufacturing processes. The collaboration with Sandia and JHU/APL will also provide them exposure to the most advance technological advancements that will help their professional career development. Two specific developmental modules will be realized for AM processed metals and alloys with polycrystalline-polyphase microstructures. They are: (i) development and implementation of parametrically homogenized constitutive/damage models (PHCMs) with explicit representation of microstructural descriptors in the form of representative aggregate microstructural parameters or (RAMPs), and (2) development of PHCM-based robust design methods for location-specific material design in structures designed, e.g., by topology optimization. Furthermore, PHCM-based simulations readily estimate the effect of variations in the microstructure on structure-scale variables like stresses, strains, strength, and even ductility or fatigue life. This will facilitate sensitivity analysis in location-specific material design in AM processed structures that have been conceptualized by design methods like topology optimization. A multi-objective function framework will be incorporated for identifying a Pareto front, defining the achievable cross-property space. The outcome of the detailed material design undertaking will be a structural-scale layout of the microstructure (in terms of RAMPs) for a robust, site-dependent distribution of macro-scale properties. This will guide the selection of AM processes parameters and routes to improve structure-material performance and life.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.

金属材料的增材制造（AM）工艺，即粉末床熔融，以及各种粉末进料和送丝系统，正在给制造业带来巨大的变化。通过逐层添加材料实现的前所未有的灵活性使复杂部件的近净形生产成为可能。尽管有这样的承诺和进步，但由于材料行为和寿命限制特性缺乏一致性，AM部件的合格性和验收受到影响，例如，不希望的延展性和疲劳行为。这些不一致性通常归因于微观结构（形态和缺陷结构）中的细微但特征性的变化，可能是AM工艺参数中的小扰动的结果。通过实施多管齐下的方法，结合集成计算材料工程（ICME）的创新方法，如基于物理的多尺度建模，多目标设计，材料表征和测试，本研究将通过开发一个强大的框架来解决这一缺点特定位置的材料特性和行为在AM工艺制造的结构。最终，它将为工艺参数与产品性能和寿命之间的联系提供指导，为关键应用中AM部件的验收铺平道路。该研究将促进与ICME相关的科学;通过建立AM制造的起源来促进国家健康，繁荣和福利;并通过在剧院中实现关键部件的近按需净形生产来保护国防。与桑迪亚国家实验室和JHU/应用物理实验室的合作伙伴关系将是这项研究的优势。该项目的研究生将在多尺度建模，设计优化，材料表征和现代制造工艺方面接受最先进技术的多学科培训。与Sandia和JHU/APL的合作也将为他们提供最先进的技术进步，这将有助于他们的职业生涯发展。两个具体的发展模块将实现AM加工金属和合金与多晶多相微观结构。它们分别是：（i）开发和实施参数均匀化本构/损伤模型（PHCM），其具有以代表性聚集微观结构参数或（RAMP）的形式的微观结构描述符的显式表示，以及（2）开发基于PHCM的稳健设计方法，用于所设计的结构中的位置特定的材料设计，例如，通过拓扑优化。此外，基于PHCM的模拟很容易估计微观结构变化对结构尺度变量（如应力、应变、强度甚至延展性或疲劳寿命）的影响。这将有助于在AM加工结构中进行位置特定材料设计的灵敏度分析，这些结构已通过拓扑优化等设计方法概念化。将纳入多目标函数框架来识别帕累托前沿，定义可实现的跨物业空间。详细的材料设计工作的结果将是微观结构的结构规模布局（RAMP方面），以实现宏观尺度属性的稳健的、取决于场地的分布。这将指导AM工艺参数和路线的选择，以提高结构材料的性能和寿命。该奖项反映了NSF的法定使命，并且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（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A Microstructure-based porous crystal plasticity FE Model for additively manufactured Ti-6Al-4V alloys

DOI：
10.1016/j.ijplas.2022.103254
发表时间：
2022-03
期刊：
International Journal of Plasticity
影响因子：
9.8
作者：
M. Pinz;J. Benzing;A. Pilchak;S. Ghosh
通讯作者：
M. Pinz;J. Benzing;A. Pilchak;S. Ghosh

Data-driven Bayesian model-based prediction of fatigue crack nucleation in Ni-based superalloys

基于数据驱动的贝叶斯模型的镍基高温合金疲劳裂纹形核预测

DOI：
10.1038/s41524-022-00727-5
发表时间：
2022
期刊：
npj Computational Materials
影响因子：
9.7
作者：
Pinz, Maxwell;Weber, George;Stinville, Jean Charles;Pollock, Tresa;Ghosh, Somnath
通讯作者：
Ghosh, Somnath

A Crystal Plasticity Model for Porous HCP Crystals in Titanium Alloys under Multiaxial Loading Conditions