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机器人化复合材料自动铺层技术综述

郭鹏 杨辰光 李祥利 章艺 李淼

郭鹏, 杨辰光, 李祥利, 章艺, 李淼. 机器人化复合材料自动铺层技术综述. 自动化学报, 2024, 50(5): 873−897 doi: 10.16383/j.aas.c230149
引用本文: 郭鹏, 杨辰光, 李祥利, 章艺, 李淼. 机器人化复合材料自动铺层技术综述. 自动化学报, 2024, 50(5): 873−897 doi: 10.16383/j.aas.c230149
Guo Peng, Yang Chen-Guang, Li Xiang-Li, Zhang Yi, Li Miao. A review on robotized automated lay-up technology for composite material manufacturing. Acta Automatica Sinica, 2024, 50(5): 873−897 doi: 10.16383/j.aas.c230149
Citation: Guo Peng, Yang Chen-Guang, Li Xiang-Li, Zhang Yi, Li Miao. A review on robotized automated lay-up technology for composite material manufacturing. Acta Automatica Sinica, 2024, 50(5): 873−897 doi: 10.16383/j.aas.c230149

机器人化复合材料自动铺层技术综述

doi: 10.16383/j.aas.c230149
详细信息
    作者简介:

    郭鹏:华南理工大学自动化科学与工程学院硕士研究生. 2019年获华南理工大学学士学位. 主要研究方向为机器人视觉感知与控制. E-mail: auto_guopeng@163.com

    杨辰光:华南理工大学自动化科学与工程学院教授. 2010年获新加坡国立大学博士学位. 主要研究方向为人机交互, 智慧系统设计. 本文通信作者. E-mail: cyang@ieee.org

    李祥利:武汉大学工业科学研究院博士研究生. 2022年获北京工业大学硕士学位. 主要研究方向为机器人化复合材料加工技术. E-mail: lixiangli00@163.com

    章艺:华南理工大学自动化科学与工程学院硕士研究生. 2022年获上海电力大学学士学位. 主要研究方向为人机技能传递, 机械臂自适应控制. E-mail: izyzhangyi@163.com

    李淼:武汉大学工业科学研究院副教授. 2016年获瑞士洛桑联邦理工学院博士学位. 主要研究方向为机器人学习, 多机器人协同. E-mail: miao.li@whu.edu.cn

A Review on Robotized Automated Lay-up Technology for Composite Material Manufacturing

More Information
    Author Bio:

    GUO Peng Master student at the School of Automation Science and Engineering, South China University of Technology. He received his bachelor degree from South China University of Technology in 2019. His research interest covers robot vision perception and control

    YANG Chen-Guang Professor at the School of Automation Science and Engineering, South China University of Technology. He received his Ph.D. degree from National University of Singapore in 2010. His research interest covers human robot interaction and intelligent system design. Corresponding author of this paper

    LI Xiang-Li Ph.D. candidate at the Institute of Technological Sciences, Wuhan University. He received his master degree from Beijing University of Technology in 2022. His main research interest is robotized composite material processing technology

    ZHANG Yi Master student at the School of Automation Science and Engineering, South China University of Technology. She received her bachelor degree from Shanghai University of Electric Power in 2022. Her research interest covers human-robot skill transfer and adaptive control for robot arm

    LI Miao Associate professor at the Institute of Technological Sciences, Wuhan University. He received his Ph.D. degree from Swiss federal Institute of Technology in Lausanne in 2016. His research interest covers robot learning and multi-robot collaboration

  • 摘要: 碳纤维增强复合材料(Carbon fiber-reinforced composite, CFRC)因具有轻质高强、耐腐蚀、耐冲击等优越性能, 在生产生活中的应用已越来越广泛, 然而复材产品的生产制造仍是劳动密集性产业, 主要依靠人工. 机械臂自上世纪50年代进入工业生产中以来, 极大提高了生产效率和质量, 然而目前机械臂在复材产品制造中的应用是少见的, 主要集中在机械臂形式的自动铺丝(Automated fiber placement, AFP)中. 复材产品制造工艺繁琐, 将复合材料铺放在模具上是复材产品制造过程中的一个重要环节, 本文称之为“铺层”, 使用机械臂完成复合材料自动铺层将是未来复材产品制造自动化、智能化发展的一个关键方向. 本文将机械臂进行复合材料自动铺层操作分为两种主要形式: 铺片和铺带(丝), 通过案例调研和分析, 归纳总结现有的设计理念和技术方法, 提出未来发展趋势, 以期对机械臂的应用和研究、复材产品的智能化制造和工业4.0的发展形成参考.
  • 图  1  复材产品制造工艺的生产流程图

    Fig.  1  Production flow chart of the manufacturing process of composite products

    图  2  机械臂铺片的铺放形式

    Fig.  2  Laying forms of robot arm lay-up sheets

    图  3  拾取末端设计举例

    Fig.  3  Examples of pick-up end effector design

    图  4  铺放末端设计举例

    Fig.  4  Examples of lay-up end effector design

    图  5  单机械臂铺层研究案例

    Fig.  5  Study cases of single robot arm lay-up

    图  6  面向工业生产的多机械臂协同铺层研究案例

    Fig.  6  Multi-robot arms collaborative lay-up study cases for industrial production

    图  7  铺带 (丝) 头结构简图[16]

    Fig.  7  Simplified diagram of the structure of tape (fiber) lay-up head[16]

    图  8  红外热成像检测, 经许可转载自文献 [187], ©Elsevier, 2021

    Fig.  8  Infrared thermal imaging detection, reproduced with permission from reference [187], ©Elsevier, 2021

    表  1  机械臂在传统工业场景和复材产品制造场景应用特点对比

    Table  1  Comparison of the application characteristics of robot arm in traditional industrial scenario and composite products manufacturing scenario

    对比特点传统工业场景复材产品制造场景
    喷涂点焊搬运装配铺片铺带(丝)
    相同之处重复定位精度
    位置跟踪要求
    不同之处操作是否接触
    操作材料特性气体高温硬质硬质柔软粘性柔软粘性
    是否需要加热
    是否有接触力
    末端构造喷嘴焊钳夹持各类工具夹持悬垂拾取专有铺放头
    下载: 导出CSV

    表  2  不同拾取原理的优劣对比

    Table  2  Comparison of the advantages and disadvantages of different pick-up principles

    拾取原理对材料的损坏程度成本实现难度易操作性
    针刺
    低温
    真空吸取
    下载: 导出CSV

    表  3  单机械臂铺层研究案例对比

    Table  3  Comparison of single robot arm lay-up study cases

    研究机构研究重点路径规划运动规划工艺参数系统软件使用的机械臂相关文献
    德国宇航中心全过程自动化 基于视觉生成 系统生成 未知 独立开发 KUKA[4546, 7172]
    汉堡科技大学 工艺流程优化 未知 未知 未知 未知 ABB[7376]
    慕尼黑工业大学 全过程自动化 人类专家设计 控制器生成 人类专家设计 CFK-Tex.Office KUKA KR-500[3234, 77]
    布里斯托大学 铺放自动化 未知 未知 人类专家设计 未知 ABB[62]
    德国宇航中心 全过程自动化 系统生成 系统生成 未知 独立开发 KUKA[7879]
    南丹麦大学 铺放自动化 基于模拟方法 系统生成 未知 独立开发 KUKA KR-360[60, 8084]
    下载: 导出CSV

    表  4  多机械臂协同铺层研究案例对比

    Table  4  Comparison of multi-robot arms collaborative lay-up study cases

    研究机构机械臂数量研究内容路径规划运动规划系统软件使用的机械臂相关文献
    南卡罗莱纳大学3路径规划 运动规划算法生成控制器生成独立开发KUKA-iiwa[8587, 8991]
    斯图加特大学3系统搭建 路径规划人类专家设计系统生成独立开发ABB[64, 92]
    德国宇航中心2系统搭建 路径规划算法生成系统生成独立开发KUKA-KR270[93101]
    空客集团2系统搭建 末端开发人类专家设计系统生成独立开发KUKA[4142, 106]
    林雪平大学2技术验证 末端开发未知未知未知KUKA-KR10, ABB[107108]
    慕尼黑工业大学2系统搭建 路径规划算法生成系统生成独立开发Staubli, KUKA[24]
    思克莱德大学1技术验证人类专家设计系统生成独立开发KUKA-KR6[110]
    维也纳技术大学2技术验证人类专家设计系统生成未知自制[111112]
    下载: 导出CSV

    表  5  铺带(丝)头中采用的切割方式对比

    Table  5  Comparison of cutting methods used in tape (fiber) lay-up heads

    切割方式成本优点缺点
    机械道具切割结构简单, 切割效率高, 适用于多种复杂环境,
    维修更换比较方便
    难以控制切割深度且切口毛糙, 损伤预浸料,
    无法保证切口质量
    激光切割较高切割效率高, 非接触式切割, 产品边缘光滑平整,
    激光对位精准, 切割精度高
    温度较高, 使复合材料发生变质且
    切割深度不易控制
    水喷射切割设备结构简单, 操作容易, 工作机构具有喷头体积小、
    后坐力小、移动方便、生产效率高等特点
    给整个铺带环境带来大量污染液体,
    影响复合材料成型, 铺带工作不便
    超声波切割较高切割效率高, 切口平整; 合适的切割速度、
    切割深度满足不同工况下的切割
    易受负载、温度等因素影响, 引起谐振频率、
    等效阻抗等参数漂移变化
    下载: 导出CSV

    表  6  铺带(丝)头中采用的加热方式对比

    Table  6  Comparison of heating methods used in tape (fiber) lay-up heads

    加热方式成本优点缺点
    电阻丝加热加热均匀, 实现简单热损失大, 功率密度低, 使用寿命短
    激光加热激光加热效率高, 响应快温度难以控制, 容易产生局部过热
    热风加热温度场均匀, 调节范围广加热升温时间长, 热效率较低
    红外加热热效率高, 加热均匀, 响应速度快辐射面存在一定限制, 温度场不均匀
    下载: 导出CSV

    表  7  路径规划方法对比

    Table  7  Comparison of path planning methods

    分类方法优点缺点
    参考路径生成自然路径法可以避免纤维起皱, 轨迹可铺放性良好计算量大, 仅适用于低曲率表面
    定角度路径法原理及计算过程简单仅适用于整体曲率波动较小的曲面
    变角度路径法能够自适应芯模曲面不规则情况算法计算量大
    路径密化等距偏置算法算法简单, 能够覆盖整个芯模表面在复杂表面上可能存在间隙和重叠
    等角度算法算法实现简单, 适应各种复杂构件易存在间隙和重叠
    下载: 导出CSV

    表  8  轨迹规划及仿真软件主要功能[179]

    Table  8  Main functions of path planning and simulation software[179]

    关键技术研究内容研究目标
    轨迹规划根据构件3D表面设计相应路径规划算法, 自适应生成铺放轨迹满足构件结构的方向性、铺放顺序和铺叠层数要求
    铺放路径覆盖根据曲面上相邻路径的间距, 对铺丝路径的覆盖性进行检验与优化实现对模具的满覆盖、不重叠, 满足空隙容差
    边界处理根据构件的边界轮廓信息, 设计边界处理算法, 控制边缘和角部的铺放方式与形态 确保铺放边界质量和表面光洁度
    后置处理数控代码生成、代码优化与合成、加工仿真技术等机器人能够识别执行的指令
    下载: 导出CSV

    表  9  现有自动化缺陷检测技术优劣对比

    Table  9  Comparison of the advantages and disadvantages of existing automated defect detection technologies

    检测技术 使用设备 安装方式 优点 缺点 相关文献
    激光辅助检测 激光投影仪 固定支架安装 实时性好、精度高、分辨率高 投影仪与模具间的相对位置精度要求高,
    对效率提升不明显
    [189191]
    红外热成像检测 热成像仪 集成在铺放头 检测成本低 对环境温度要求严格, 精度难以保证 [192195]
    基于轮廓数据检测 激光轮廓仪 集成在铺放头或安装在
    机械臂末端
    检测结果准确, 不易受环境影响 计算量大, 需要极高性能计算平台,
    仅能检测外部缺陷
    [196200]
    机器视觉检测 工业相机 集成在铺放头 检测效果好, 自动化程度高 检测系统适应性不高 [201212]
    下载: 导出CSV
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  • 收稿日期:  2023-03-20
  • 录用日期:  2023-08-31
  • 网络出版日期:  2024-04-19
  • 刊出日期:  2024-05-29

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