Abstract
This talk provides an opportunity to learn about the Advanced Manufacturing (AM) and Manufacturing Systems Integration (MSI) programs within the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation (CMMI). It will also provide insights of how NSF supports international collaborations. The Advanced Manufacturing (AM) program supports the fundamental research needed to revitalize American manufacturing to grow the national prosperity and workforce, and to reshape our strategic industries. The AM program accelerates advances in manufacturing technologies with emphasis on multidisciplinary research that fundamentally alters and transforms manufacturing capabilities, methods, and practices. Advanced manufacturing research proposals should address issues related to national prosperity and security, and advancing knowledge to sustain global leadership. Areas of research, for example, include manufacturing systems; materials processing; manufacturing machines; methodologies; and manufacturing across the length scales. Researchers working in the areas of cyber-manufacturing systems, manufacturing machines and equipment, materials engineering and processing, and nanomanufacturing are encouraged to transcend and cross domain boundaries.
Interdisciplinary, convergent proposals are welcome that bring manufacturing to new application areas, and that incorporate challenges and approaches outside the customary manufacturing portfolio to broaden the impact of America’s advanced manufacturing research. The Manufacturing Systems Integration (MSI) program focuses on fundamental research addressing the opportunities and challenges digital technologies present for the next industrial revolution, with particular emphasis on the digital integration of manufacturing within the larger life cycle ecosystem such as: digital representation, protocols, and/or processes for integration and collaboration in manufacturing systems (machines and/or humans); intelligent self-organizing production systems; ease of use, interoperability and seamless integration of technologies, machines, and humans; service-oriented architectures and systems; data sets that are compatible and usable across platforms; reliable and secure communications within and across the manufacturing value chain; integration of distributed manufacturing systems across time and space, including incorporating both legacy and leading-edge equipment and technologies; and methods for assessing the impact and value of externalities throughout the life cycle within the digital environment.