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RII Track-1: Louisiana Materials Design Alliance (LAMDA)

RII Track-1：路易斯安那州材料设计联盟 (LAMDA)

基本信息

批准号：
1946231
负责人：
Michael Khonsari
金额：
$ 2000万
依托单位：
Louisiana Board of Regents
依托单位国家：
美国
项目类别：
Cooperative Agreement
财政年份：
2020
资助国家：
美国
起止时间：
2020-07-01 至 2025-06-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1946231&HistoricalAwards=false
关键词：
RII Track Louisiana Materials Design

项目摘要

This project, known as LAMDA, aims to improve the global competitiveness of U.S. industries that use advanced manufacturing methods, specifically additive manufacturing (which is also known as 3D printing). The additive manufacturing process builds a three-dimensional (3D) object from a computer-aided design model, usually by successively adding material layer by layer. The layering material is commonly metal or polymer. Because the layering process can introduce defects, research is needed to improve both the understanding of the additive manufacturing process and the metals and plastics used for layering. LAMDA will achieve this research by using machine learning to improve the design of metals and polymers that give superior performance when used in additive manufacturing. End-user input for the project will be provided by industrial manufacturing and aerospace leaders from across the U.S. LAMDA’s education products will include new courses and course modules, as well as an industry-supported technology demonstration testbed. The project’s research activities will be integrated with an ambitious agenda to engage students and faculty of all levels across the state with targeted activities that will lead to a better-trained, more diverse STEM workforce. LAMDA brings together several of Louisiana’s public and private academic institutions to generate fundamental insights into the complex relationships among composition, processing, microstructure, performance, and structural integrity within the context of additive manufacturing. Achievement of this objective will be accelerated by using machine learning. LAMDA research will focus on designing complex concentrated alloys and thermoset shape memory polymers specifically for additive manufacturing applications. The scientific vision of LAMDA is to build the design framework for new complex concentrated alloys and thermoset shape memory polymers for additive manufacturing with required performance and structural integrity, reliability, and durability. To realize this vision, a machine-learning-guided approach will be employed to navigate extended compositional spaces towards the design goals. The LAMDA project will forge new collaborations among participating institutions and establish new partnerships with federal agencies and industries to build sustainable research and education programs in Louisiana focused on additive manufacturing. LAMDA will grow the Louisiana STEM workforce with a series of activities including extended/reverse research experiences for undergraduates, professional development for undergraduate and graduate students and post-doctoral fellows, course module development for undergraduate and graduate education, hiring and mentoring of new faculty, and training for community college educators.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.

该项目被称为LAMDA，旨在提高使用先进制造方法的美国行业的全球竞争力，特别是增材制造（也称为3D打印）。增材制造过程通常通过逐层连续添加材料，从计算机辅助设计模型构建三维（3D）物体。分层材料通常是金属或聚合物。由于分层过程可能会引入缺陷，因此需要进行研究以提高对增材制造过程以及用于分层的金属和塑料的理解。 LAMDA将通过使用机器学习来改进金属和聚合物的设计来实现这项研究，这些金属和聚合物在用于增材制造时具有上级性能。 LAMDA的教育产品将包括新的课程和课程模块，以及一个行业支持的技术演示测试平台。该项目的研究活动将与一个雄心勃勃的议程相结合，使全州各级学生和教师参与有针对性的活动，从而培养出一支训练有素、更加多样化的STEM劳动力队伍。 LAMDA汇集了路易斯安那州的几个公共和私人学术机构，以产生对增材制造背景下的成分，加工，微观结构，性能和结构完整性之间的复杂关系的基本见解。这一目标的实现将通过使用机器学习来加速。 LAMDA的研究将专注于设计专门用于增材制造应用的复杂浓缩合金和热固性形状记忆聚合物。 LAMDA的科学愿景是为增材制造的新型复杂浓缩合金和热固性形状记忆聚合物建立设计框架，并确保其具有所需的性能和结构完整性、可靠性和耐用性。为了实现这一愿景，将采用机器学习引导的方法来导航扩展的组合空间，以实现设计目标。 LAMDA项目将在参与机构之间建立新的合作关系，并与联邦机构和行业建立新的合作伙伴关系，以在路易斯安那州建立以增材制造为重点的可持续研究和教育计划。 LAMDA将通过一系列活动来增加路易斯安那州STEM的劳动力，包括本科生的扩展/反向研究经验，本科生和研究生以及博士后研究员的专业发展，本科生和研究生教育的课程模块开发，新教师的招聘和指导，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准。

项目成果

期刊论文数量（150）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Influence of uniaxial compression on the shape memory behavior of vitrimer composite embedded with tension‐programmed unidirectional shape memory polymer fibers

DOI：
10.1002/app.50429
发表时间：
2021-05
期刊：
Journal of Applied Polymer Science
影响因子：
3
作者：
Henry Q. Afful;S. Ibekwe;P. Mensah;Guoqiang Li
通讯作者：
Henry Q. Afful;S. Ibekwe;P. Mensah;Guoqiang Li

The Rise of Machine Learning in Polymer Discovery

DOI：
10.1002/aisy.202200243
发表时间：
2023-01
期刊：
Advanced Intelligent Systems
影响因子：
7.4
作者：
Cheng Yan;Guoqiang Li
通讯作者：
Cheng Yan;Guoqiang Li

Nanofiber-in-microfiber carbon/silicon composite anode with high silicon content for lithium-ion batteries

DOI：
10.1016/j.carbon.2022.11.100
发表时间：
2023-01
期刊：
Carbon
影响因子：
10.9
作者：
Yixian Pei;Yuxin Wang;An-Yi Chang;Yixin Liao;Shuangpeng Zhang;Xiufang Wen;Shengnian Wang
通讯作者：
Yixian Pei;Yuxin Wang;An-Yi Chang;Yixin Liao;Shuangpeng Zhang;Xiufang Wen;Shengnian Wang

Engineering the Surface Melt for In-Space Manufacturing of Aluminum Parts