江汉大学学报(自然科学版) ›› 2024, Vol. 52 ›› Issue (5): 34-42.doi: 10.16389/j.cnki.cn42-1737/n.2024.05.004

• 智能制造 • 上一篇    

基于 KUKA 工业机器人的智能制造产线 包装系统设计及优化

刘晓卉1 ,赵卫卫1 ,轩 亮*1,2   

  1. 1. 江汉大学 智能制造学院,湖北 武汉 430056;2. 东北大学 机械工程与自动化学院,辽宁 沈阳 110167
  • 发布日期:2024-10-24
  • 通讯作者: 轩 亮
  • 作者简介:刘晓卉(1987— ),女,高级工程师,硕士,研究方向:智能制造工程。
  • 基金资助:
    中国博士后科学基金面上项目(2021M692452);江汉大学校级科研项目(2023KJZX36)

Design and Optimization of Intelligent Manufacturing Production Line Packaging System Based on KUKA Industrial Robot

LIU Xiaohui,ZHAO Weiwei,XUAN Liang   

  1. 1. School of Intelligent Manufacturing,Jianghan University,Wuhan 430056,Hubei,China;2. School of Mechanical Engineering and Automation,Northeastern University,Shenyang 110167,Liaoning,China
  • Published:2024-10-24
  • Contact: XUAN Liang

摘要: 研究了成品工业机器人以工站形式集成于智能制造产线的设计方法。以文创笔筒智能 制造产线为例,设计了基于 KUKA 六轴工业机器人的包装系统,该系统以工业机器人为核心设 备,配以 PLC、感知元器件等,共同完成笔筒产品的商业化包装。系统的结构组成、作业流程、 KUKA 机器人在系统中的控制模式及程序框架对生产线上包装自动化系统的开发具有广泛适用 性。此外,有效解决了低刚度包装盒的压盖干涉问题,将包装成功率由 50% 提升至 96%,且不更 改包装类型、不增加包装成本,对同类型包装作业有较好的参考价值。

关键词: 工业机器人, PLC, 控制模式, 信号感知, 工艺流程

Abstract: The article studied the design method of integrating finished industrial robots into intelligent manufacturing production lines as workstations and designed a packaging system based on KUKA six-axis industrial robots for the intelligent manufacturing production line of cultural and creative pen holders. The system used industrial robots as the core equipment,paired with PLC,sensing components,etc. ,to jointly complete the commercial packaging of pen holder products. The structural composition,operation process,control mode,and program framework of the KUKA robot in the packaging system could be widely applied to developing packaging automation systems on production lines. In addition,the study effectively solved the interference problem of low-stiffness packaging boxes, increased the success rate of packaging from 50% to 96%,and did not change the packaging type or increase packaging costs. It has good reference value for similar packaging operations.

Key words: industrial robots, PLC;control mode, signal perception, process flow

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