DMREF/Collaborative Research: Collaboration to Accelerate the Discovery of New Alloys for Additive Manufacturing

非技术性：最近，人们对加法制造，也就是所谓的3D打印产生了浓厚的兴趣。虽然已经有许多努力旨在探索几何设计空间，从而使创新部件成为可能，但这些努力总是使用几十年前为传统制造方法设计和优化的遗留材料(例如，Ti-6Al-4V)。当材料不是设计策略的一部分时，既有内在的风险，也会失去机会。就风险而言，这种遗留材料的性能可能逊于使用传统方法制备的相同材料。例如，当任意选择Ti-6-4用于添加剂制造工艺时，所得到的材料表现出随测试方向和空间位置而变化的特性。至于失去的机会，添加剂制造工艺的独特特点，如非常高的凝固率，可以为正确的材料带来优异的性能。因此，需要设计利用添加剂制造工艺的独特特性的新材料，以实现超过当前使用传统材料时可能达到的性能平衡。根据DMREF计划开发的钛合金，以及加速合金开发的总体框架，将通过一系列行业传播研讨会进行传播。这将通过整合高通量组合材料科学、最先进的材料表征、计算材料科学和数据科学来实现。以及(5)作为多所大学的团队，设计一种用于添加剂制造工艺的新材料。在此过程中，该团队将开发本体和数据科学标准，以便在项目期间在四所大学之间轻松共享信息，并在工作结束时更广泛地传播信息。

Non-technical: Recently, there has been significant interest in additive manufacturing, also known as 3-D printing. While there have been many efforts aimed at exploring the geometric design space, thus enabling innovative components, such efforts invariably use legacy materials (e.g., Ti-6Al-4V) that were designed and optimized decades ago for conventional manufacturing approaches. When the material is not part of the design strategy, there is both an intrinsic risk and an opportunity lost. With respect to risk, such legacy materials may exhibit properties that are inferior to the same material prepared using conventional approaches. For example, when Ti-6-4 is arbitrarily selected for additive manufacturing processes, the resultant material exhibits properties that vary according to both testing direction and spatial location. With respect to the lost opportunity, there are unique characteristics of the additive manufacturing processes, such as very high solidification rates, that can result in superior properties for the right materials. Thus, there is a need to design new materials that leverage the unique characteristics of additive manufacturing processes to achieve a balance of properties that exceeds what is currently possible when legacy materials are used. The titanium alloys developed under this Designing Materials to Revolutionize and Engineer our Future (DMREF) program, as well as the general framework of accelerated alloy development, will be disseminated through a series of industry dissemination workshops. This dissemination will impact a wide range of economic sectors, including, for example, aerospace, automotive, and biomedical.Technical: This project is directed toward the design of a modern creep-resistant beta-titanium alloy to be produced via additive manufacturing. This will be achieved by integrating high-throughput combinatorial materials science, state-of-the-art materials characterization, computational materials science, and data-science. The project seeks to: (1) discover and model the fundamental interrelationship between the far-from equilibrium conditions of additive manufacturing processes and materials composition on the resulting microstructure and properties; (2) fully describe the materials composition and structure using multi-dimensional, multi-spatial, and multi-spectral approaches; (3) determine, via powerful data science approaches, hidden correlations (e.g., mechanisms) between composition, structure, and properties as assessed using both computational and experimental techniques; (4) validate the mechanisms via computational modeling and critical experimentation; and (5) design, as a multi-university team, a new material for additive manufacturing processes. Along the way, the team will develop both an ontology and data science standards so that the information can be shared easily amongst the four universities during the program and disseminated more broadly at the conclusion of the effort.