FMRG: Eco: A Systems-Enabled Paradigm Shift for Modular Sustainable Chemical Manufacturing

未来的制造业需要可持续发展。这个未来制造研究基金（FMRG）电子制造项目旨在影响新兴技术的化学制造的开发和实践方式。该项目的愿景是将化学制造的主要原材料基地从不可再生基质转移到可再生基质。该项目的目标是通过将计算机科学与机械建模和实验数据结合在一个统一的系统方法中，考虑市场趋势，考虑过程和产品经济学，并结合环境，市场和政策影响，为新兴技术的可持续化学制造制定蓝图。该项目的目标将通过三个研究重点来实现。重点1是利用机器学习自然处理语言平台，结合人工智能、多尺度建模和硅指导实验，识别从可再生原材料到一系列现有和新产品的途径。该平台的目标是使可制造性评估与产品发现相结合。推力2将开发一个集成的产品和工艺综合优化框架，以整合各种工艺/产品替代方案的经济、环境和市场影响，并优化产品组合、工艺设计和操作。推力3将在引入“绿色”产品时识别消费者需求和市场行为，并将这些特征整合到供应链优化中。项目方法的核心是开发一个基于模块化的系统优化框架，以分析大量产品和工艺选择，整合经济和环境因素，优化加工场地的位置和容量，并结合参数和环境不确定性的影响。教育是该项目不可或缺的一部分，包括培训(a)融合研究和可持续制造方面的本科生和研究生，(b)通过物联网设计项目进行跨学科产品开发的本科生，以及(c)与RAPID/AIChE作为制造合作伙伴合作，在美国各地从事未来制造的化学操作员。该项目由CBET环境可持续性计划、刺激竞争研究既定计划（EPSCoR）、SBE理事会以及CBET、CMMI、EEC和CHE部门共同资助。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。

Future manufacturing needs to be sustainable. This Future Manufacturing Research Grant (FMRG) EcoManufacturing project aims to impact the way chemical manufacturing of emerging technologies is developed and practiced. The vision of the project is to move a predominant raw material base for chemical manufacturing from non-renewable to renewable substrates. The goal of the project is to develop a blueprint for sustainable chemical manufacturing in emerging technologies by integrating computer science with mechanistic modeling and experimental data within a unified systems approach that considers market trends, accounts for process and product economics, and incorporates environmental, market, and policy impacts. The goal of this project will be pursued through three research thrusts. Thrust 1 centers on the identification of pathways from renewable raw materials to a slate of existing and new products using a machine-learning natural processing language platform, integrated with artificial intelligence, multiscale modeling, and in-silico guided experiments. This platform targets to enable assessment of manufacturability combined with product discovery. Thrust 2 will develop an integrated product and process synthesis optimization framework to incorporate economic, environmental, and market impact of various process/product alternatives, and optimize the product portfolio, process design, and operations. Thrust 3 will identify consumer needs and market behavior in introducing “green” products and integrate these features into supply chain optimization. Central to the project approach is developing a modular-based systems optimization framework to analyze a host of products and process alternatives, integrating economics and environmental considerations, optimizing the location and capacity of processing sites, and incorporating the effects of parametric and environmental uncertainty. Education is integral to the project and involves the training of (a) undergraduate and graduate students in convergence research and sustainable manufacturing, (b) undergraduates in interdisciplinary product development through Internet-of-Things design projects, and (c) chemical operators on future manufacturing across the US, in collaboration with RAPID/AIChE as a manufacturing partner. This project is jointly funded by the CBET Environmental Sustainability program, the Established Program to Stimulate Competitive Research (EPSCoR), the SBE Directorate, and the CBET, CMMI, EEC, and CHE divisions.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.