REU Site: Multidisciplinary Research Experience in Advance Manufacturing for Undergraduates

德克萨斯州州立大学的REU网站将专注于为先进制造业战略领域的本科生提供研究经验，这在将美国定位为世界领先制造业方面发挥着至关重要的作用。该项目将吸引，从事，并教育每年夏天从全国各地的10名本科生，重点是招募妇女和代表性不足的少数群体。REU网站提供了动手多学科的研究经验，在国家的最先进的研究设施，结合一系列的专业发展活动和实地考察。REU提供的独特经验将在为新兴制造领域的未来领导者做准备方面发挥转型作用。此外，该项目将为来自研究基础设施有限的机构的广泛学生提供一个切入点，并强烈推动他们在STEM领域攻读研究生和从事职业。REU网站将让学生接触到与先进制造系统，材料和工艺相关的变革性跨学科研究。这个REU网站的具体智力优势是：（1）开发基于机器学习，仿真和传感器技术的新技术，以提高机器人系统的鲁棒性，效率和准确性;（2）开发创新的数据驱动方法，用于工业物联网（IOT）标准和技术支持的制造资产和流程的监督控制和监控;（3）应用新的分析和模拟技术进行增材制造工艺优化，并表征3D打印纳米复合材料的机械、热和电性能;（4）开发基于微型和纳米技术的微型器件原型制作先进技术。该网站将创建一个创新的模式，培养先进制造领域的下一代研究人员。参加者将具备必要的知识和技能，以解决具有本地意义和全球影响的先进制造问题的广泛主题。严格的数据驱动，基于物理和实验研究技术的独特组合将为学生在STEM领域承担研究挑战提供坚实的基础。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

This REU site at Texas State University will focus on providing research experience for undergraduate students in the strategic area of advanced manufacturing, which plays a crucial role in positioning the U.S. manufacturing sector as a world leader. The project will attract, engage, and educate ten undergraduate students each summer from across the nation with an emphasis on recruiting women and underrepresented minority groups. The REU site offers hands-on multidisciplinary research experience in state-of-the-art research facilities in conjunction with a series of professional development activities and field trips. The unique REU experience provided will play a transformational role in preparing future leaders in the emerging areas of manufacturing. Additionally, the project will provide an entry point for a wide range of students from institutions with limited access to research infrastructure and a strong impetus to pursue graduate school and careers in STEM areas. The REU Site will expose students to transformative interdisciplinary research related to advanced manufacturing systems, materials, and processes. The specific intellectual merits of this REU site are to:(1) Develop novel techniques based on Machine Learning, simulation, and sensor technologies to improve the robustness, efficiency, and accuracy of robotic systems; (2) Develop innovative data-driven methods for supervisory control and monitoring of manufacturing assets and processes supported by industrial Internet Of Things (IOT) standards and technologies; (3) Apply novel analytical and simulation techniques for Additive Manufacturing process optimization and characterization of mechanical, thermal, and electrical properties of 3D printed nanocomposites; (4) Develop advanced techniques based on micro and nanotechnology for prototyping microdevices. The site will create an innovative model for training the next generation of researchers in the area of advanced manufacturing. Participants will be equipped with the necessary knowledge and skills to address a broad theme of advanced manufacturing issues with local significance and global implications. A unique combination of rigorous data-driven, physics-based, and experimental research techniques will provide students with a solid basis for undertaking research challenges in STEM fields.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.