Towards Nanomanufacturing of Materials with Coherent Interfaces

当今制造技术的快速创新和对卓越性能的需求正在推动下一代材料的发展。由于极端的使用要求，目前的服务组件保证了高强度、延展性和抗裂性的良好组合。如果纳米结构材料能够被设计成具有这些特性并进行足够大的规模制造，那么它们就有潜力满足这些技术需求。然而，新材料的设计传统上是一个高度迭代和昂贵的过程，因此，开发计算模型可以极大地降低开发和部署先进材料的成本。该奖项支持的研究将促进纳米级加工路线的知识，同时开发更具预测性的建模方法。集成的加工和建模方法将加快材料设计，同时消除过多的加工和表征试验。此外，这项研究将产生用于民用、航空航天、海军结构、核电站和地面车辆等关键应用的高保真材料寿命预测工具，有可能提高安全性和消除材料过早退役。？这项研究借鉴了材料科学和机械工程的合作方法，并整合了计算和实验方法，确保参与这项研究的学生能够流利地掌握这两种方法。这项研究要解决的智力挑战包括利用加工方法生成具有严格控制的相干界面布居的微结构，从而能够系统地了解复杂循环加载条件下的位错/界面反应。这项研究将能够控制物理气相沉积路线，以沉积在纳米尺度上具有窄空间分布的严重孪晶微结构，这将允许扩展可以诱导具有有希望的纳米孪晶微结构的材料系统，包括具有更高本征堆积错能的材料。通过探测高度受控的纳米孪晶微观结构，研究小组将确定纳米孪晶材料的属性，以实现更高的疲劳抗力，同时限制疲劳寿命的可变性。将加工、微结构表征和机械测试集成到多尺度建模框架中，最终将允许及时收敛到最佳微结构和成分，潜在地消除了对每个新的加工参数或成分进行详尽测试的需要。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Rapid innovations in today's manufacturing technologies and the need for superior performance are pushing the boundaries for advancing next generation materials. Due to extreme operational demands, current service components warrant a favorable combination of high strength, ductility and cracking resistance. Nanostructured materials have the potential to meet these technological demands if they can be designed to possess these properties and manufactured at large enough scale. The design of new materials, however, has traditionally been a highly iterative and costly process, and thus the development of computational models can greatly reduce the cost of development and deployment of advanced materials. This award supports research that will advance knowledge of nanoscale processing routes while simultaneously developing more predictive modeling methods.? The integrated processing and modeling approach will expedite materials design while eliminating excessive processing and characterization trials.? Moreover, this research will result in high fidelity tools for material lifetime prediction for critical applications in civil, aerospace, naval structures, nuclear plants and ground vehicles, with the potential to improve safety and eliminate premature retirement of materials. ?This research draws upon collaborative approaches in Materials Science and Mechanical Engineering, and integrates computational and experimental approaches, ensuring that students involved in this research will be fluent in both.The intellectual challenge to be addressed by this research involves harnessing processing methods to generate microstructures with tightly controlled coherent interface populations, thus enabling a systematic understanding of dislocation/interface reactions under complex cyclic loading conditions. This research will enable control of physical vapor deposition routes to deposit heavily twinned microstructures with narrow spatial distributions at the nanoscale, which will allow expansion of the material systems that can be induced to possess the promising nanotwin microstructure, including materials with higher intrinsic stacking fault energies.? By probing highly controlled nanotwinned microstructures, the research team will establish the attributes for a nanotwinned material to achieve higher fatigue resistance while also limiting variability in fatigue lives.? Integration of processing, microstructural characterization and mechanical testing into a multiscale modeling framework will ultimately allow for convergence to optimum microstructures and compositions in a timely fashion, potentially eliminating the need to perform exhaustive testing for each new processing parameter or composition.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.