来自布法罗大学（UB）利用人工智能（AI），模拟和大数据工具来现代化制造系统并提高3D打印等行业的质量，生产和效率。
由230万美元资助国家科学基金会（NSF）Grant，该流框架旨在创建一个公共在线存储库，研究人员和行业专业人员可以在其中共享有关数据，模型，模拟器，控制器和分析的信息，以及许多其他研究任务。
“A commercial product is the end result of a long chain of interwoven steps that may span geography, industries and different manufacturing processes,” said Hongyue Sun, Assistant Professor of industrial systems engineering at UB. “Each step may be optimized, but that doesn’t always mean it’s for the greater good of the overall production process. What we’re doing is creating an analytical framework that connects and coordinates all these processes.
“最终结果将是一种使用人工智能和其他工具来优化和最终改善制造系统的网络物理系统。”
UB’s 3D printing research
UB研究人员以前已经使用了AI，机器学习（ML）和其他技术来改进加成生产过程。
早在2018年UB team developed PrinTracker，一个3D打印机标识系统，能够将印刷对象跟踪回创建它们的计算机。结果，该系统可以帮助执法人员打击3D打印机的潜在不道德和刑事用途。
More recently, in 2020, a UB team worked with MIT to develop a新的铁电材料for photopolymerization 3D printing, reportedly marking a “major leap” toward making synthetic materials more affordable and suitable for various applications like electronics.
Modernizing manufacturing systems
The goal of the STREAM framework is to bring the complex web of steps and processes within the supply chain under the coordinated control of a sophisticated, connected computer system. The framework will make use of AI, simulation, and other ‘Industry 4.0’ technologies to streamline and connect the different elements of supply chains within industries such as 3D printing and semiconductors.
这些部门的供应链具有许多相关步骤，尤其是半导体行业。
Sun说：“这包括数十个阶段，例如晶体生长，铸币切片，晶圆片和抛光，光刻，蚀刻，化学机械平面化。”这些阶段具有强大的动态和依赖性。下游阶段的操作受到上游阶段的操作的影响，质量和生产力。
“For instance, multiple lapping machines need to collaboratively process hundreds of wafers from ingot slicing; and the real-time process and production information of machines are interdependent and jointly determine the system’s performance.”
在整个项目中，UB团队将创建软件，以实现网络制造系统中有效的通信和计算。此外，团队将生产一个建模系统，以实现准确有效的过程质量控制。
The project will also see the creation of a simulation and production control system for the continuous improvement of quality, manufacturability, and productivity of future multistage and distributed manufacturing systems.
该项目的最终目标是创建一个在线存储库，以共享研究人员和行业专业人员之间的信息和经验。该系统将促进有关数据，模型，模拟器，控制器，分析和经验研究的知识共享，以促进将产品设计，生产和物流整合的高度智能和互动制造生态系统的未来发展。
As part of the project, the UB researchers will create new outreach and workforce development activities for K-12, undergraduate and graduate students, as well as working with professionals in the manufacturing field.
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Featured image shows3D打印机的指纹。图片通过布法罗大学的Wenyao Xu。
