EAGER/Cybermanufacturing: Cyber-Enabled Additive Manufacturing of Advanced Materials

EAGER/网络制造：先进材料的网络增材制造

• 批准号: 1547042
• 负责人: Frank Liou
• 金额: $ 14.68万
• 依托单位: Missouri University of Science and Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1547042&HistoricalAwards=false
• 关键词: EAGER; Cybermanufacturing; Cyber; Enabled; Additive

Additive manufacturing (AM), a process of printing a 3-dimensional solid object from a digital model, makes it possible to produce virtually any geometric complexity with very little impact on cost. However, most of the current AM technologies have not yet begun to achieve their full potential. This EArly-concept Grant for Exploratory Research (EAGER) project will explore the feasibility of advancing AM technologies, focusing on capacities that differ from conventional manufacturing processes, such as the ability to create materials with properties not generally observed in nature. These capabilities will lead to breakthrough manufacturing technologies, such as structural amorphous metals with much stronger and lighter products that cannot be currently made, and repairing parts stronger than their original condition. Thus the project will provide a transformative method to fabricate advanced materials. The strength, hardness, and fatigue properties of fabricated materials will also enable extremely lightweight structure design, thus revolutionize many products in the market. Therefore, results from this research will benefit the U.S. manufacturing industry.This project will demonstrate the feasibility of a novel Cyber-enabled Additive Manufacturing (CyberAM) system to transform material fabrication capability. Using the CyberAM system, structural amorphous metals will be fabricated using a metal AM system through well-controlled high cooling process. This project will also advance the knowledge of cybermanufacturing, including 1) a methodology to effectively extract process model information into a unified CyberAM representation for real time process monitoring and control; 2) a strategy to simplify model computation and data generation to support cyber manufacturing; 3) a learning and adaptation architecture to continuously improve process model and database using sensor feedback; and 4) CyberAM demonstration with the learned knowledge to make novel materials. If successful, the researchers will be able to extend the developed knowledge to internet scale to support multiple AM stations to fabricate advanced materials that cannot be made before.

增材制造 (AM) 是一种从数字模型打印 3 维实体物体的过程，可以生产几乎任何复杂的几何形状，而对成本的影响很小。然而，当前大多数增材制造技术尚未开始充分发挥其潜力。这个早期概念探索性研究资助 (EAGER) 项目将探索推进增材制造技术的可行性，重点关注与传统制造工艺不同的能力，例如创造具有自然界中通常观察不到的特性的材料的能力。这些能力将带来突破性的制造技术，例如结构非晶金属，具有目前无法制造的更坚固、更轻的产品，以及修复比原始状态更坚固的零件。因此，该项目将提供一种制造先进材料的变革性方法。 制造材料的强度、硬度和疲劳特性也将实现极其轻量化的结构设计，从而彻底改变市场上的许多产品。 因此，这项研究的结果将使美国制造业受益。该项目将展示新型网络增材制造（Cyber​​AM）系统转变材料制造能力的可行性。使用 Cyber​​AM 系统，将使用金属增材制造系统通过良好控制的高冷却过程来制造结构非晶金属。该项目还将推进网络制造的知识，包括1）一种有效地将过程模型信息提取到统一的Cyber​​AM表示中以进行实时过程监视和控制的方法； 2）简化模型计算和数据生成以支持网络制造的策略； 3）学习和适应架构，利用传感器反馈不断改进过程模型和数据库； 4) Cyber​​AM 演示用学到的知识来制作新颖的材料。 如果成功，研究人员将能够将开发的知识扩展到互联网规模，以支持多个增材制造站制造以前无法制造的先进材料。