NIST-ASTM-NSF-ASME Workshop on Challenges in Representing Manufacturing Processes for Systemic Sustainability Assessments - Student Travel; College Station, Texas; June 18-22, 2018

该奖项为NIST-ASTM-NSF-ASME系统可持续性评估制造过程代表挑战研讨会提供支持。这笔资金部分支持美国科学家，博士后研究人员和研究生的旅行和出席费用。该研讨会旨在让研究界参与讨论先进制造，纳米制造，可持续制造和工程教育中的新兴主题，所有这些都是美国先进制造业可持续发展不可或缺的一部分，这是国家经济中非常重要的部门。研讨会的一个成果是确定研究和教育的需求，以支持可持续性评估的单元制造过程的特点。研究的重点是研究制造过程建模的系统级可持续性评估跨制造生产规模和方法应用于各个领域。该研讨会鼓励妇女和代表性不足的少数民族参与关于先进制造业研究和教育的讨论，这对国家的繁荣也很重要。它激发了研究和职业道路未来方向的想法。研讨会的成果将被记录并作为研讨会报告和同行评审的出版物进行传播。该奖项部分支持研究生、博士后研究员、早期职业教师以及妇女和代表性不足的少数群体参加关于制造过程的研讨会。该研讨会的重点是离散，批量和连续方法的单元制造过程建模的研究;以及传统，纳米和增材制造规模。方法论适用于机械、电气、化学、核、生物化学和生物学等领域。可持续性需要平衡各种相互竞争的目标，如成本、时间、环境和社会因素。由于不确定的紧急属性，使用这些模型的系统级的可持续发展性能是复杂的。然而，这些模型对于比较产品和生产系统的替代设计至关重要。获取和交换有关制造过程的信息可以实现一致的过程表征，并有助于建立统一的过程模型库，以便在先进制造领域中重用。改进的流程建模和模型集成确保了计算分析的更有效沟通和可持续性绩效数据的共享。该奖项反映了NSF的法定使命，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。

This award provides support for the NIST-ASTM-NSF-ASME Workshop on Challenges in Representing Manufacturing Processes for Systemic Sustainability Assessments. The funding partially supports the travel and attendance costs of US scientists, postdoctoral researchers, and graduate students. The workshop is designed to engage the research community in discussions on emerging topics in advanced manufacturing, nanomanufacturing, sustainable manufacturing, and engineering education, all of which are integral to sustainability of advanced manufacturing in America, an enduringly important sector in the nation's economy. An outcome of the workshop is to identify needs for research and education in support of characterizing unit manufacturing processes for sustainability assessment. The research focus is to investigate modeling of manufacturing processes for system level sustainability assessment across manufacturing production scales and methods applied in various fields. The workshop encourages participation of women and under-represented minorities in discussions on advanced manufacturing research and education, also important for the nation's prosperity. It stimulates ideas for future directions in research and career paths. Workshop outcomes will be documented and disseminated as a workshop report and peer-reviewed publications.This award partially supports the participation of graduate students, postdoctoral fellows, early career faculty, and women and under-represented minorities in a workshop on representations of manufacturing processes. The workshop focuses on research in modeling of unit manufacturing processes for discrete, batch, and continuous methods; and for conventional, nanometer, and additive manufacturing scales. Methodologies are applicable in fields such as mechanical, electrical, chemical, nuclear, biochemical, and biological. Sustainability requires a balance of competing objectives, such as cost, time, and environmental and social considerations. The use of these models for system-level sustainability performance is complicated due to uncertain emergent properties. However, these models are vital to comparing alternative designs of products and production systems. Acquiring and exchanging information on manufacturing processes can lead to consistent process characterization and can help establish a consolidated repository of process models for reuse across advanced manufacturing domains. Improved process modeling and model integration ensures more effective communication of computational analytics and sharing of sustainability performance data. Engaging industrial and academic researchers in discussing their work, sharing best practices, revealing gaps in research and practice is important in developing new research directions.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.