Robotic automation for smart manufacturing processes

智能制造流程的机器人自动化

• 批准号: 566521-2021
• 负责人: Lee, Jihyun
• 金额: $ 2.19万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=722837
• 关键词: Robotic; automation; smart; manufacturing; processes

With the advent of Industry 4.0, industrial robots are the critical elements of advanced manufacturing. They provide the benefits of space flexibility, long reach, multiple degrees of freedom, and the ability to quickly complete repetitive tasks at a low cost. Manufacturing industries for shipping, automotive, aerospace, and oil and gas have begun to use robots to load and unload, deliver, and assemble parts. By collaborating with Computer Numerical Control machines and humans, robots can improve efficiency in manufacturing and assembling. The goal of this partnership with GN Corporation (GNC) is the development of a smart robotic platform to automate manufacturing processes for gluing and assembling ceramic components with magnesium cylinders and drilling parts. The novelties lie in technologies to develop a robot's optimal tool path generations, motor control, artificial intelligence-based machine vision inspection, sensory system, and drilling chatter stability. The first potential outcome will be an optimal trajectory generation algorithm to minimize the robot's residual vibration with a sufficient speed. The second potential outcome will be a pneumatic assembly system designed by using a force sensor for the assembly. The third potential outcome will be machine vision algorithm inherent deep learning technology for part alignment and inspection. The last outcome will be optimal machining parameters to avoid drilling chatter. This project will train HQP in robotics, manufacturing, and mechatronics for Canada's future industries. The goal can be achieved through the efforts of technology development, close interactions with GNC, and technology transfers. The completeness of this project will help explore future commercialization paths. The technology transfer of the proposed research will accelerate automation in manufacturing industries in Alberta and Canada, making efficient use of manpower and improving output.

随着行业4.0的出现，工业机器人是高级制造的关键要素。它们提供了空间灵活性，长距离，多个自由度的好处，以及以低成本快速完成重复任务的能力。用于运输，汽车，航空航天以及石油和天然气的制造业开始使用机器人加载和卸货，交付和组装零件。通过与计算机数值控制机和人类合作，机器人可以提高制造和组装的效率。与GN Corporation（GNC）合作的目标是开发一个智能的机器人平台，以使制造工艺自动化，以使用镁圆柱体和钻孔零件粘合和组装陶瓷组件。新颖性在于技术来开发机器人的最佳工具路径世代，电动机控制，基于人工智能的机器视觉检查，感觉系统和钻孔式摇摆稳定性。第一个潜在的结果将是一种最佳的轨迹生成算法，以最大程度地减少机器人的残留振动，以足够的速度。第二个潜在结果将是通过使用力传感器进行组装设计的气动装配系统。第三个潜在的结果将是机器视觉算法固有的深度学习技术，用于部分对齐和检查。最后的结果将是最佳的加工参数，以避免钻孔。该项目将为加拿大未来行业的机器人技术，制造和机电一体化培训HQP。通过技术开发，与GNC的紧密互动以及技术转移的努力，可以实现目标。该项目的完整性将有助于探索未来的商业化路径。拟议研究的技术转移将加速艾伯塔省和加拿大制造行业的自动化，从而有效利用人力并改善产出。