Closed Loop Manufacturing 4.0

闭环制造4.0

• 批准号: 530095-2018
• 负责人: Jin, Xiaoliang
• 金额: $ 4.54万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=654685
• 关键词: Closed; Loop; Manufacturing; 4.0

This project proposes a Closed Loop Manufacturing process with physics-based simulation models, online**monitoring, and real-time process control in accordance with Industry 4.0 principles. The machining process**will be simulated in a virtual environment ahead of physical production and stored in the cloud or in a**database. Real-time machining information, such as cutting force and vibration, will be obtained from inherent**CNC (Computer Numerical Control) system data. The pre-simulated result and real-time measurement will be**used in conjunction to adjust the machining conditions for suppressing chatter vibrations, preventing excessive**tool wear, and avoiding machine overloads, while minimizing the production cycle time. As a result, a**so-called digital twin machining system (i.e. combination of simulation and real-time) will be developed with**core functionalities in simulation, monitoring, and self-optimization.**Specific aims of this project include: (1) Identification of tool tip dynamics using spindle current for chatter**avoidance; (2) Online tool wear monitoring using the feed drive current; (3) Trajectory planning and feedrate**optimization for productivity increase; (4) Identification of feed drive dynamics for cutting force monitoring;**and (5) Integration of the algorithms into a commercially viable machining simulation and monitoring**software.**The project results will be used to reduce machining time and part scrap rates by enhancing intelligent**machining feature. A commercial product will be developed and applied for high volume production, as well as**for low volume and highly customized type of parts. The project is expected to benefit key manufacturing**sectors such as aerospace, automotive, industrial machinery, and biomedical devices.

该项目提出了一种符合工业 4.0 原则的闭环制造流程，具有基于物理的仿真模型、在线**监控和实时流程控制。加工过程**将在物理生产之前在虚拟环境中进行模拟，并存储在云或**数据库中。实时加工信息，例如切削力和振动，将从固有的**CNC（计算机数控）系统数据中获得。预先模拟的结果和实时测量将结合使用来调整加工条件，以抑制颤振，防止刀具过度磨损，并避免机器过载，同时最大限度地缩短生产周期时间。因此，将开发出**所谓的数字孪生加工系统（即仿真与实时相结合），具有仿真、监控和自我优化的核心功能。**该项目的具体目标包括：（1）使用主轴电流识别刀尖动态以避免颤振； (2)利用进给驱动电流在线监测刀具磨损； (3) 轨迹规划和进给率**优化以提高生产率； (4) 识别进给驱动动力学以监控切削力；**以及 (5) 将算法集成到商业上可行的加工模拟和监控**软件中。**项目结果将用于减少加工时间和零件废品通过增强智能**加工功能来提高生产率。商业产品将被开发并应用于大批量生产，以及**小批量和高度定制类型的零件。该项目预计将使航空航天、汽车、工业机械和生物医学设备等关键制造**行业受益。