IUCRC Phase I Georgia Institute of Technology: Center for Composite and Hybrid Materials Interfacing (CHMI)

复合材料和混合材料界面中心（CHMI）寻求通过使用先进的分析、计算、实验和数字技术和工具，应用可靠的、数据驱动的自动化过程，在复合材料和混合材料结构的连接、粘合和维护方面产生知识和能力。它是奥克兰大学（OU），佐治亚理工学院（GT）和田纳西大学诺克斯维尔分校（UTK）之间的合作伙伴关系。轻质复合材料和混合材料在航空航天、汽车、基础设施和生物医学等领域的显著优势带来了科学、技术和经济方面的挑战，美国要成为全球制造业的领导者，就必须解决这些挑战。由于制造成本和不一致的性能（特别是在恶劣环境中），这些材料系统中的界面被认为是一个关键障碍。CHMI的目标是在十年内显著降低此类工程操作的成本（≥50%）、周期时间和变化。佐治亚理工学院（GT）拥有与复合材料和先进材料制造相关的研究和教育项目，并与50多家与CHMI相关的公司和政府组织建立了行业合作伙伴关系。该网站的chmi相关研究由一个跨学科研究团队提供支持，该团队在材料化学、加工/合成、制造、设计/建模、数据分析和测试方面具有专业知识，并与材料表征、加工/制造、无损检测、测试、计算和设计以及数据处理设施相匹配。这三所合作大学在轻质复合材料和混合材料方面拥有完善的互补专业知识。他们将在四个行业启发的研究重点领域合作：(1)设计，建模和分析，(2)材料和工艺工程，(3)测试和无损检测，(4)安全数据和数字技术。每所大学都强调不同的行业领域（gt -航空航天，ou -汽车/地面车辆，utk -基础设施和生物医学），这确保了在广泛的美国制造业中包含大学和行业的观点。CHMI - IUCRC将开发一个融合研究发展环境，在界面复合材料和混合材料领域确定并开展行业激励的竞争前创新研究。GT站点将通过对计算和设计、加工/制造、表征和测试、无损评估（NDE）和数据分析的研究，专注于航空航天工业对复合材料飞行器结构精确计算预测方法的需求。具体来说，研究工作将包括复合材料/混合材料连接结构的计算设计方法、界面键合的建模和表征、键合复合材料裂缝形成的监测、用于CHMI应用的无损检测技术、用于结构监测和维护的隐私保护预测分析，以及推动行业降低风险和提高效率的其他突破性技术的开发。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The Center for Composite and Hybrid Materials Interfacing (CHMI) seeks to generate knowledge and capabilities in joining, bonding, and maintenance of composite and hybrid material structures by applying reliable, data-driven, automated processes using advanced analytical, computational, experimental, and digital techniques and tools. It is a partnership between Oakland University (OU), Georgia Institute of Technology (GT) and University of Tennessee, Knoxville (UTK). The significant advantages of lightweight composite and hybrid materials for aerospace, automotive, infrastructure, and biomedical applications come with scientific, technical, and economic challenges that must be addressed for the U.S. to be a global manufacturing leader. The interfaces in these materials systems are identified as a critical barrier due to fabrication costs and inconsistent performance (especially in aggressive environments). The goal of CHMI is to significantly reduce cost (≥50%), cycle time, and variation of such engineering operations in ten years. The Georgia Tech (GT) Site has research and educational programs related to composites and advanced materials manufacturing, and industry partnerships with over 50 companies and government organizations related to CHMI. The Site’s CHMI-related research is supported by an interdisciplinary research team with expertise in material chemistry, processing / synthesis, manufacturing, design/modeling, data analytics, and testing that is paired with facilities for materials characterization, processing/fabrication, NDE, testing, computation and design, and data processing. The three partnering universities have well-established, complementary expertise in lightweight composite and hybrid materials. They will work together on four industry-inspired research thrust areas: (1) Design, Modeling and Analysis, (2) Materials and Process Engineering, (3) Testing and NDE, and (4) Secure Data and Digital Technologies. Each university has emphasized different industry sectors (GT-Aerospace, OU-Automotive/Ground Vehicle, UTK-Infrastructure and Biomedical), which ensures the inclusion of university and industry perspectives across a wide range of U.S. manufacturing. The CHMI IUCRC will develop a Convergent Research Development Environment that will identify and conduct industry-inspired pre-competitive, innovative research in the area of interfacing composites and hybrid materials. The GT Site will focus on the aerospace industry’s needs for accurate computational prediction methods for the composite vehicle structures through its research on computation and design, processing/fabrication, characterization and testing, non-destructive evaluation (NDE), and data analytics. Specifically, research efforts will include computational design methods for joining of structures of composites/hybrid materials, modeling and characterization of interfacial bonding, monitoring crack formation in bonded composites, NDE techniques for CHMI applications, privacy-preserving predictive analytics for structural monitoring and maintenance and the development of other breakthrough technologies that drive industry to mitigate risk and improve efficiency.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.